Tie‐yan Liu
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Computer Science
Tie‐yan Liu's Degrees
- Bachelors Computer Science Tsinghua University
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(Suggest an Edit or Addition)Tie‐yan Liu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- LightGBM: A Highly Efficient Gradient Boosting Decision Tree (2017) (5164)
- Learning to rank for information retrieval (2009) (2755)
- Learning to rank: from pairwise approach to listwise approach (2007) (1862)
- MASS: Masked Sequence to Sequence Pre-training for Language Generation (2019) (758)
- Dual Learning for Machine Translation (2016) (728)
- Listwise approach to learning to rank: theory and algorithm (2008) (661)
- FastSpeech: Fast, Robust and Controllable Text to Speech (2019) (598)
- FastSpeech 2: Fast and High-Quality End-to-End Text to Speech (2020) (589)
- Adapting ranking SVM to document retrieval (2006) (568)
- Learning Deep Representations for Graph Clustering (2014) (520)
- Achieving Human Parity on Automatic Chinese to English News Translation (2018) (517)
- LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval (2007) (510)
- Neural Architecture Optimization (2018) (491)
- LETOR: A benchmark collection for research on learning to rank for information retrieval (2010) (477)
- On Layer Normalization in the Transformer Architecture (2020) (395)
- Do Transformers Really Perform Bad for Graph Representation? (2021) (329)
- Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks (2014) (308)
- MPNet: Masked and Permuted Pre-training for Language Understanding (2020) (292)
- A Theoretical Analysis of NDCG Type Ranking Measures (2013) (292)
- Feature selection for ranking (2007) (272)
- Introducing LETOR 4.0 Datasets (2013) (264)
- Support vector machines classification with a very large-scale taxonomy (2005) (259)
- A Highly Efficient Gradient Boosting Decision Tree (2017) (258)
- Incorporating BERT into Neural Machine Translation (2020) (246)
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017) (232)
- FRank: a ranking method with fidelity loss (2007) (225)
- Asynchronous Stochastic Gradient Descent with Delay Compensation (2016) (194)
- RC-NET: A General Framework for Incorporating Knowledge into Word Representations (2014) (193)
- BrowseRank: letting web users vote for page importance (2008) (190)
- Ranking Measures and Loss Functions in Learning to Rank (2009) (184)
- A general approximation framework for direct optimization of information retrieval measures (2010) (183)
- Deliberation Networks: Sequence Generation Beyond One-Pass Decoding (2017) (183)
- Query dependent ranking using K-nearest neighbor (2008) (183)
- Multilingual Neural Machine Translation with Knowledge Distillation (2019) (183)
- Supervised rank aggregation (2007) (179)
- LightLDA: Big Topic Models on Modest Computer Clusters (2014) (172)
- Knowledge-Powered Deep Learning for Word Embedding (2014) (171)
- Web image clustering by consistent utilization of visual features and surrounding texts (2005) (171)
- Rethinking Positional Encoding in Language Pre-training (2020) (151)
- Global Ranking Using Continuous Conditional Random Fields (2008) (151)
- R-Drop: Regularized Dropout for Neural Networks (2021) (150)
- Query-level loss functions for information retrieval (2008) (150)
- A Probabilistic Model for Learning Multi-Prototype Word Embeddings (2014) (148)
- A Study of Reinforcement Learning for Neural Machine Translation (2018) (136)
- Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering (2005) (135)
- A Survey on Neural Speech Synthesis (2021) (132)
- Non-Autoregressive Machine Translation with Auxiliary Regularization (2019) (131)
- Adversarial Neural Machine Translation (2017) (129)
- Dual Supervised Learning (2017) (124)
- Multi-Armed Bandit with Budget Constraint and Variable Costs (2013) (124)
- Word-Entity Duet Representations for Document Ranking (2017) (122)
- Representation Degeneration Problem in Training Natural Language Generation Models (2019) (116)
- On the Depth of Deep Neural Networks: A Theoretical View (2015) (115)
- Conditional Image-to-Image Translation (2018) (111)
- Ranking with multiple hyperplanes (2007) (109)
- Invertible Image Rescaling (2020) (107)
- Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input (2018) (107)
- FRAGE: Frequency-Agnostic Word Representation (2018) (106)
- Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation (2018) (102)
- Co-learning of Word Representations and Morpheme Representations (2014) (102)
- A study of relevance propagation for web search (2005) (100)
- Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View (2019) (98)
- Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks (2016) (97)
- DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks (2019) (94)
- A New Probabilistic Model for Rank Aggregation (2010) (93)
- A Communication-Efficient Parallel Algorithm for Decision Tree (2016) (89)
- Soft Contextual Data Augmentation for Neural Machine Translation (2019) (89)
- Efficient Training of BERT by Progressively Stacking (2019) (85)
- Learning to Teach with Dynamic Loss Functions (2018) (84)
- AdaSpeech: Adaptive Text to Speech for Custom Voice (2021) (84)
- Learning to rank relational objects and its application to web search (2008) (82)
- Multilingual Neural Machine Translation with Language Clustering (2019) (81)
- Almost Unsupervised Text to Speech and Automatic Speech Recognition (2019) (80)
- Future directions in learning to rank (2010) (79)
- Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States (2022) (76)
- Actively predicting diverse search intent from user browsing behaviors (2010) (72)
- Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling (2017) (71)
- GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (2020) (71)
- Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers (2017) (71)
- Fully Parameterized Quantile Function for Distributional Reinforcement Learning (2019) (70)
- Suphx: Mastering Mahjong with Deep Reinforcement Learning (2020) (69)
- Self-paced Ensemble for Highly Imbalanced Massive Data Classification (2019) (67)
- Information Retrieval Technology (2014) (66)
- Event detection from evolution of click-through data (2006) (66)
- Learning What Data to Learn (2017) (65)
- Thompson Sampling for Budgeted Multi-Armed Bandits (2015) (64)
- Detecting Link Spam Using Temporal Information (2006) (64)
- Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems (2016) (63)
- Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004 (2004) (61)
- Budgeted Multi-Armed Bandits with Multiple Plays (2016) (60)
- Sponsored Search Auctions (2015) (60)
- Semi-supervised ranking on very large graphs with rich metadata (2011) (59)
- Generalization analysis of listwise learning-to-rank algorithms (2009) (57)
- Learning to rank for information retrieval (LR4IR 2007) (2007) (56)
- Time-dependent semantic similarity measure of queries using historical click-through data (2006) (56)
- Exploiting Monolingual Data at Scale for Neural Machine Translation (2019) (55)
- Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization (2018) (55)
- LightRNN: Memory and Computation-Efficient Recurrent Neural Networks (2016) (54)
- Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation (2019) (54)
- Hint-Based Training for Non-Autoregressive Machine Translation (2019) (54)
- Decoding with Value Networks for Neural Machine Translation (2017) (52)
- Joint optimization of bid and budget allocation in sponsored search (2012) (52)
- BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining (2022) (51)
- Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning (2021) (50)
- HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis (2020) (50)
- Relational click prediction for sponsored search (2012) (49)
- LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition (2020) (49)
- Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction (2019) (48)
- PopMAG: Pop Music Accompaniment Generation (2020) (47)
- Semi-Supervised Neural Architecture Search (2020) (46)
- A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search (2013) (46)
- Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion (2019) (45)
- SimulSpeech: End-to-End Simultaneous Speech to Text Translation (2020) (45)
- Towards Binary-Valued Gates for Robust LSTM Training (2018) (44)
- A Study of Non-autoregressive Model for Sequence Generation (2020) (44)
- Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory (2006) (43)
- Model-Level Dual Learning (2018) (43)
- Bag-of-Entities Representation for Ranking (2016) (42)
- Hierarchical taxonomy preparation for text categorization using consistent bipartite spectral graph copartitioning (2005) (42)
- Statistical Consistency of Top-k Ranking (2009) (41)
- Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder (2021) (39)
- DeepSinger: Singing Voice Synthesis with Data Mined From the Web (2020) (39)
- Listwise Collaborative Filtering (2015) (39)
- Learning Causal Semantic Representation for Out-of-Distribution Prediction (2020) (39)
- Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising (2013) (38)
- Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting (2018) (38)
- Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter (2018) (37)
- WordRep: A Benchmark for Research on Learning Word Representations (2014) (37)
- CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction (2020) (37)
- Depth Growing for Neural Machine Translation (2019) (37)
- Deep learning for prediction of the air quality response to emission changes. (2020) (37)
- Query-level stability and generalization in learning to rank (2008) (36)
- MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training (2021) (36)
- Multi-Agent Dual Learning (2019) (35)
- Psychological advertising: exploring user psychology for click prediction in sponsored search (2013) (34)
- A Theoretical Analysis of Normalized Discounted Cumulative Gain (NDCG) Ranking Measures (2013) (34)
- An active feedback framework for image retrieval (2008) (34)
- Large Scale Private Learning via Low-rank Reparametrization (2021) (34)
- A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network (2019) (34)
- Adaptive Regret of Convex and Smooth Functions (2019) (33)
- Bid keyword suggestion in sponsored search based on competitiveness and relevance (2014) (32)
- Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning (2016) (32)
- Link analysis using time series of web graphs (2007) (31)
- NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality (2022) (31)
- Efficient Sequence Learning with Group Recurrent Networks (2018) (31)
- Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding (2019) (31)
- Trust Region Evolution Strategies (2019) (31)
- TabNN: A Universal Neural Network Solution for Tabular Data (2018) (30)
- Reinforcement Learning for Learning Rate Control (2017) (30)
- Dense Information Flow for Neural Machine Translation (2018) (30)
- Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search (2021) (30)
- Dual Inference for Machine Learning (2017) (30)
- Normalization Helps Training of Quantized LSTM (2019) (29)
- Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling (2018) (29)
- AggregateRank: bringing order to web sites (2006) (29)
- Ranking with query-dependent loss for web search (2010) (29)
- Advertiser-centric approach to understand user click behavior in sponsored search (2011) (28)
- Ranking-Oriented Collaborative Filtering (2016) (28)
- Dual-view Molecule Pre-training (2021) (28)
- Neural Architecture Search with GBDT (2020) (27)
- A framework to compute page importance based on user behaviors (2010) (27)
- How could Neural Networks understand Programs? (2021) (26)
- Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation (2020) (26)
- Fast Spectral Clustering of Data Using Sequential Matrix Compression (2006) (26)
- Effective Feature Extraction for Play Detection in American Football Video (2005) (26)
- Return-Based Contrastive Representation Learning for Reinforcement Learning (2021) (25)
- An experimental study on large-scale web categorization (2005) (25)
- Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space (2012) (25)
- How Does Data Augmentation Affect Privacy in Machine Learning? (2020) (24)
- Adaspeech 2: Adaptive Text to Speech with Untranscribed Data (2021) (24)
- Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks (2016) (24)
- G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space (2018) (23)
- FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition (2021) (23)
- Unsupervised Pivot Translation for Distant Languages (2019) (23)
- Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction (2016) (23)
- Learning to Teach (2018) (23)
- Selling Reserved Instances in Cloud Computing (2015) (23)
- Microsoft Research Asia’s Systems for WMT19 (2019) (23)
- Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding (2021) (23)
- Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data (2019) (22)
- Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization (2007) (22)
- UWSpeech: Speech to Speech Translation for Unwritten Languages (2020) (22)
- Hint-based Training for Non-Autoregressive Translation (2018) (22)
- Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves (2016) (21)
- NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search (2021) (21)
- Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding (2015) (21)
- Predicting advertiser bidding behaviors in sponsored search by rationality modeling (2013) (21)
- Qlib: An AI-oriented Quantitative Investment Platform (2020) (20)
- Universal Trading for Order Execution with Oracle Policy Distillation (2021) (20)
- Target Transfer Q-Learning and Its Convergence Analysis (2018) (20)
- Denoispeech: Denoising Text to Speech with Frame-Level Noise Modeling (2020) (20)
- A unified optimization framework for auction and guaranteed delivery in online advertising (2012) (20)
- Learning to Search Web Pages with Query-Level Loss Functions (2006) (19)
- Let web spammers expose themselves (2011) (19)
- Selecting optimal training data for learning to rank (2011) (19)
- Gradient Perturbation is Underrated for Differentially Private Convex Optimization (2019) (19)
- SEEK: Segmented Embedding of Knowledge Graphs (2020) (19)
- Word Attention for Sequence to Sequence Text Understanding (2018) (19)
- Large Margin Deep Neural Networks: Theory and Algorithms (2015) (19)
- A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information (2016) (19)
- Investor-Imitator: A Framework for Trading Knowledge Extraction (2018) (18)
- REST: Relational Event-driven Stock Trend Forecasting (2021) (18)
- Sequence Prediction with Unlabeled Data by Reward Function Learning (2017) (18)
- Recovering Latent Causal Factor for Generalization to Distributional Shifts (2021) (18)
- Transductive Ensemble Learning for Neural Machine Translation (2020) (18)
- A Survey of Low Resource Neural Machine Translation (2019) (17)
- PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior (2021) (17)
- Asynchronous Accelerated Stochastic Gradient Descent (2016) (16)
- Analyzing and Mitigating Interference in Neural Architecture Search (2021) (16)
- Reinforcement Learning with Dynamic Boltzmann Softmax Updates (2019) (16)
- Capacity Control of ReLU Neural Networks by Basis-path Norm (2018) (16)
- A general markov framework for page importance computation (2009) (15)
- Level-Based Link Analysis (2005) (15)
- Introduction to special issue on learning to rank for information retrieval (2010) (15)
- Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network (2019) (15)
- Ranking-Oriented Collaborative Filtering: A Listwise Approach (2016) (15)
- Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model (2021) (15)
- Optimal Pricing for the Competitive and Evolutionary Cloud Market (2015) (15)
- DualLip: A System for Joint Lip Reading and Generation (2020) (15)
- KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge (2014) (15)
- DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling (2021) (15)
- Double Path Networks for Sequence to Sequence Learning (2018) (15)
- Positively Scale-Invariant Flatness of ReLU Neural Networks (2019) (15)
- Webpage importance analysis using conditional Markov random walk (2005) (14)
- Finite budget analysis of multi-armed bandit problems (2017) (14)
- Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder (2021) (14)
- Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems (2018) (14)
- Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning (2018) (14)
- Exploring Deep Learning for Air Pollutant Emission Estimation (2021) (14)
- Dynamic of Stochastic Gradient Descent with State-Dependent Noise (2020) (14)
- How to Make LETOR More Useful and Reliable (2008) (14)
- TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method (2021) (14)
- Distributed Machine Learning: Foundations, Trends, and Practices (2017) (14)
- Exploring the Regulatory Function of the N‐terminal Domain of SARS‐CoV‐2 Spike Protein through Molecular Dynamics Simulation (2021) (14)
- Efficient Mechanism Design for Online Scheduling (2016) (13)
- Searching Better Architectures for Neural Machine Translation (2020) (13)
- Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality (2022) (13)
- Two-Layer Generalization Analysis for Ranking Using Rademacher Average (2010) (13)
- FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition (2021) (13)
- BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis (2022) (13)
- Online learning for auction mechanism in bandit setting (2013) (12)
- PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior (2021) (12)
- METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals (2022) (12)
- Modeling Lost Information in Lossy Image Compression (2020) (12)
- Latent Causal Invariant Model (2020) (12)
- AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style (2021) (12)
- Convergence Theory of Learning Over-parameterized ResNet: A Full Characterization. (2019) (11)
- Page importance computation based on Markov processes (2011) (11)
- Agent Behavior Prediction and Its Generalization Analysis (2014) (11)
- Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph (2015) (11)
- Machine Translation With Weakly Paired Documents (2019) (11)
- Neural Machine Translation with Soft Prototype (2019) (11)
- Revisiting Over-Smoothness in Text to Speech (2022) (11)
- Generalized second price auction with probabilistic broad match (2014) (11)
- A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond (2022) (10)
- Global Optimization for Advertisement Selection in Sponsored Search (2015) (10)
- Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding (2015) (10)
- Neurally-Guided Semantic Navigation in Knowledge Graph (2018) (10)
- Indiscriminate Poisoning Attacks Are Shortcuts (2021) (10)
- Sequence Generation with Mixed Representations (2020) (10)
- Beyond Exponentially Discounted Sum: Automatic Learning of Return Function (2019) (9)
- A noise-tolerant graphical model for ranking (2012) (9)
- Sequence Generation with Target Attention (2017) (9)
- Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks (2018) (9)
- Learning to Teach with Deep Interactions (2020) (9)
- Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator (2020) (9)
- Taking Notes on the Fly Helps BERT Pre-training (2020) (9)
- Machine-Learning Non-Conservative Dynamics for New-Physics Detection (2021) (9)
- On the Local Hessian in Back-propagation (2018) (9)
- Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium (2014) (9)
- MC-BERT: Efficient Language Pre-Training via a Meta Controller (2020) (9)
- Information retrieval: a view from the Chinese IR community (2020) (9)
- Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models (2019) (9)
- N -Step PageRank for Web Search (2007) (9)
- LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning (2020) (8)
- UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost (2021) (8)
- Multi-branch Attentive Transformer (2020) (8)
- Adversarial Training with Rectified Rejection (2021) (8)
- AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios (2022) (8)
- Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation (2019) (8)
- HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information (2021) (8)
- Taking Notes on the Fly Helps Language Pre-Training (2021) (8)
- LazyFormer: Self Attention with Lazy Update (2021) (8)
- Distributional Reward Decomposition for Reinforcement Learning (2019) (7)
- Time-constraint boost for TV commercials detection (2004) (7)
- Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD (2021) (7)
- Unified 2D and 3D Pre-Training of Molecular Representations (2022) (7)
- Subsite Retrieval: A Novel Concept for Topic Distillation (2005) (7)
- Mechanism Learning with Mechanism Induced Data (2015) (7)
- Generalization Analysis for Game-Theoretic Machine Learning (2014) (7)
- Generalization Error Bounds for Optimization Algorithms via Stability (2016) (7)
- Modeling Bounded Rationality for Sponsored Search Auctions (2016) (7)
- Top-k Consistency of Learning to Rank Methods (2009) (7)
- A Study of Multilingual Neural Machine Translation (2019) (7)
- Scale Effects in Web Search (2017) (7)
- Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation (2019) (7)
- Revenue Maximization for Finitely Repeated Ad Auctions (2017) (7)
- Learning to rank for information retrieval (LR4IR 2009) (2009) (7)
- Ranking Websites: A Probabilistic View (2006) (7)
- DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting (2022) (7)
- Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion (2021) (7)
- Task-Agnostic and Adaptive-Size BERT Compression (2021) (7)
- Variance-reduced Language Pretraining via a Mask Proposal Network (2020) (7)
- Neural Data Filter for Bootstrapping Stochastic Gradient Descent (2017) (6)
- Learning Effective Word Embedding using Morphological Word Similarity (2014) (6)
- Best Action Selection in a Stochastic Environment (2016) (6)
- Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation (2022) (6)
- Learning to rank for information retrieval (LR4IR 2008) (2008) (6)
- Temporally Correlated Task Scheduling for Sequence Learning (2020) (6)
- COSEA: Convolutional Code Search with Layer-wise Attention (2020) (6)
- Demonstration actor critic (2019) (6)
- Similarity space projection for web image search and annotation (2005) (6)
- Reinforcement learning behaviors in sponsored search (2016) (6)
- Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder (2021) (6)
- Equivariant vector field network for many-body system modeling (2021) (6)
- A Survey on Low-Resource Neural Machine Translation (2021) (6)
- Your Transformer May Not be as Powerful as You Expect (2022) (6)
- Web and Internet Economics (2014) (5)
- Online Mechanism Design for Cloud Computing (2014) (5)
- Calculating Webpage Importance with Site Structure Constraints (2005) (5)
- Global Ranking of Documents Using Continuous Conditional Random Fields (2008) (5)
- Supervised Off-Policy Ranking (2021) (5)
- Mimicking atmospheric photochemical modeling with a deep neural network (2021) (5)
- Dual Learning: Theoretical Study and an Algorithmic Extension (2020) (5)
- Site abstraction for rare category classification in large-scale web directory (2005) (5)
- Topic distillation via sub-site retrieval (2007) (5)
- Stylized Dialogue Generation with Multi-Pass Dual Learning (2021) (5)
- Learning to Match Distributions for Domain Adaptation (2020) (5)
- Randomized Mechanisms for Selling Reserved Instances in Cloud Computing (2016) (5)
- IOT: Instance-wise Layer Reordering for Transformer Structures (2021) (5)
- Curriculum Offline Imitating Learning (2021) (5)
- Accuracy Prediction with Non-neural Model for Neural Architecture Search (2020) (4)
- SimulS2S: End-to-End Simultaneous Speech to Speech Translation (2019) (4)
- MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks (2021) (4)
- Optimizing Neural Networks in the Equivalent Class Space (2018) (4)
- Distributional Reinforcement Learning for Multi-Dimensional Reward Functions (2021) (4)
- New Mechanism for Reservation in Cloud Computing (2015) (4)
- Differential Equations for Modeling Asynchronous Algorithms (2018) (4)
- Target-Side Input Augmentation for Sequence to Sequence Generation (2022) (4)
- Speech-T: Transducer for Text to Speech and Beyond (2021) (4)
- Generalized second price auctions with value externalities (2014) (4)
- Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation (2019) (4)
- Convolutional neural networks for posed and spontaneous expression recognition (2017) (4)
- Adaptive Text to Speech for Spontaneous Style (2021) (4)
- Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning (2021) (4)
- Query-Dependent Ranking (2011) (4)
- Internet advertising: theory and practice (2013) (3)
- Pure Price of Anarchy for Generalized Second Price Auction (2013) (3)
- Optimal Allocation for Chunked-Reward Advertising (2013) (3)
- Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval (2005) (3)
- Train Feedfoward Neural Network with Layer-wise Adaptive Rate via Approximating Back-matching Propagation (2018) (3)
- Learning Invariant Representations across Domains and Tasks (2021) (3)
- Are Algorithms Directly Optimizing IR Measures Really Direct (2008) (3)
- SAMF: a self-adaptive protein modeling framework (2021) (3)
- Analysis of the Approaches (2011) (3)
- RD$^2$: Reward Decomposition with Representation Decomposition (2020) (3)
- The United States COVID-19 Forecast Hub dataset (2022) (3)
- Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent (2022) (3)
- MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks (2022) (3)
- Multi-Teacher Distillation With Single Model for Neural Machine Translation (2022) (3)
- OptQuant: Distributed training of neural networks with optimized quantization mechanisms (2019) (3)
- Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart (2021) (3)
- Applications of Learning to Rank (2011) (3)
- Direct Optimization of Evaluation Measures in Learning to Rank (2010) (3)
- Learn to Use Future Information in Simultaneous Translation (2020) (3)
- Mechanism Design for Daily Deals (2015) (3)
- Revenue Optimization for Group-Buying Websites (2013) (2)
- The Pairwise Approach (2011) (2)
- Statistical Learning Theory for Ranking (2011) (2)
- The Pointwise Approach (2011) (2)
- Computational pricing in Internet era (2018) (2)
- Sampling dilemma: towards effective data sampling for click prediction in sponsored search (2014) (2)
- Causally Invariant Predictor with Shift-Robustness (2021) (2)
- HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting (2021) (2)
- STABILITY AND CONVERGENCE THEORY FOR LEARNING RESNET: A FULL CHARACTERIZATION (2019) (2)
- Revisiting Language Encoding in Learning Multilingual Representations (2021) (2)
- The Listwise Approach (2011) (2)
- ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships (2022) (2)
- Convergence Analysis for Weighted Joint Strategy Fictitious Play in Generalized Second Price Auction (2012) (2)
- RD2: Reward Decomposition with Representation Disentanglement (2020) (2)
- A Linear Approximation Based Method for Noise-Robust and Illumination-Invariant Image Change Detection (2004) (2)
- Independence-aware Advantage Estimation (2019) (2)
- Ranking on large-scale graphs with rich metadata (2011) (2)
- Competitive Pricing for Cloud Computing in an Evolutionary Market (2015) (2)
- Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent (2022) (2)
- LRSpeech (2020) (2)
- Regeneration Learning: A Learning Paradigm for Data Generation (2023) (1)
- Online Non-Preemptive Story Scheduling in Web Advertising (2016) (1)
- Instance-wise Graph-based Framework for Multivariate Time Series Forecasting (2021) (1)
- The LETOR Datasets (2011) (1)
- Learning Physics-Informed Neural Networks without Stacked Back-propagation (2022) (1)
- Tendency correlation analysis for direct optimization of evaluation measures in information retrieval (2010) (1)
- Optimal Sample Size for Adword Auctions: (Extended Abstract) (2016) (1)
- Semi-supervised Ranking (2011) (1)
- Discovering Drug-Target Interaction Knowledge from Biomedical Literature (2021) (1)
- $K$-anonymous Signaling Scheme (2013) (1)
- Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design (2022) (1)
- Information Retrieval Technology (2013) (1)
- Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations (2020) (1)
- Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation (2022) (1)
- Learning Structures for Deep Neural Networks (2021) (1)
- LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm (2019) (1)
- SPRoBERTa: protein embedding learning with local fragment modeling (2022) (1)
- The Inventory Optimization Code for Exploring Deep Learning in Air Pollutant Emission Estimation Scale (2021) (1)
- Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness (2019) (1)
- Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary (2020) (1)
- A Study on Potential Head Advertisers in Sponsored Search (2012) (1)
- Level-Biased Statistics in the Hierarchical Structure of the Web (2006) (1)
- Heterogeneous Information Integration in Hierarchical Text Classification (2006) (1)
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret (2022) (1)
- Computational pricing in Internet era (2017) (1)
- Incentivizing High-quality Content from Heterogeneous Users (2016) (1)
- Optimization of ReLU Neural Networks using Quotient Stochastic Gradient Descent (2018) (1)
- An Actor-critic Algorithm for Learning Rate Learning (2017) (1)
- On the Generative Utility of Cyclic Conditionals (2021) (1)
- BN-invariant Sharpness Regularizes the Training Model to Better Generalization (2019) (1)
- Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting (2022) (1)
- A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation (2022) (1)
- Light Multi-segment Activation for Model Compression (2019) (1)
- Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction (2021) (1)
- Machine Translation With Weakly Paired Bilingual Documents (2018) (1)
- Finding the Dominant Winning Ticket in Pre-Trained Language Models (2022) (1)
- A Framework for Learning Knowledge-Powered Word Embedding (2014) (1)
- Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer (2021) (1)
- KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings (2021) (1)
- Light Gradient Boosting Machine [R package lightgbm version 3.1.1] (2020) (1)
- De Novo Molecular Generation via Connection-aware Motif Mining (2023) (1)
- T ARGET -S IDE I NPUT A UGMENTATION FOR S EQUENCE TO S EQUENCE G ENERATION (2022) (0)
- Expressiveness in Deep Reinforcement Learning (2018) (0)
- An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context (2022) (0)
- Slim-DP: A Light Communication Data Parallelism for DNN (2017) (0)
- An editor labeling model for training set expansion in Web categorization (2005) (0)
- TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets (2022) (0)
- AF2: Adaptive Focus Framework for Aerial Imagery Segmentation (2022) (0)
- Repeated Keyword Auctions Played by Finite Automata (2013) (0)
- Non-Autoregressive Machine Translation with Auxiliary Regularization 1 (2018) (0)
- R2-DDI: relation-aware feature refinement for drug-drug interaction prediction (2022) (0)
- Introduction: special issue of selected papers from ACML 2015 (2017) (0)
- Detecting Link Spam from Temporal Statistics of Websites (2006) (0)
- Large-scale graph mining and learning for information retrieval (2012) (0)
- P-BN: Towards Effective Batch Normalization in the Path Space (2019) (0)
- Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit (2021) (0)
- A Convergent Variant of the Boltzmann Softmax Operator in Reinforcement Learning (2018) (0)
- Quantized Training of Gradient Boosting Decision Trees (2022) (0)
- Internet Advertising: Theory and Practice (IATP 2013) (2013) (0)
- Experimental Results on LETOR (2011) (0)
- The Implicit Regularization for Adaptive Optimization Algorithms on Homogeneous Neural Networks (0)
- Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph (2016) (0)
- Retrosynthetic Planning with Dual Value Networks (2023) (0)
- Global Optimization for Advertisement Selection in Sponsored Search (2015) (0)
- Statistical Consistency for Ranking (2011) (0)
- Session details: Link analysis & advertising (2010) (0)
- Budgeted Multi-armed Bandits with Multiple Plays ( Full Version ) ∗ (2016) (0)
- Curriculum Offline Imitation Learning (2021) (0)
- Introduction: special issue of selected papers from ACML 2015 (2017) (0)
- Statistical Ranking Framework (2011) (0)
- THE EFFECT OF ADVERSARIAL TRAINING: A THEORETICAL CHARACTERIZATION (2019) (0)
- Path-BN: Towards effective batch normalization in the Path Space for ReLU networks (2021) (0)
- Optimization on Multiple Manifolds (2018) (0)
- EARNING TO T EACH (2018) (0)
- SHGNN: Structure-Aware Heterogeneous Graph Neural Network (2021) (0)
- A conversation with MSRA researchers (2012) (0)
- Generalized Second Price Auctions with Value Externalities (Extended Abstract) (2014) (0)
- Neural Architecture Optimization 1 (2018) (0)
- DualLip (2020) (0)
- Data Preprocessing for Learning to Rank (2011) (0)
- Pricing Optimization for Selling Reusable Resources (2017) (0)
- Generalization Analysis for Ranking (2011) (0)
- Lessons learned from contests in data mining (2011) (0)
- Exploring the Regulatory Function of the N ‐terminal Domain of SARS‐CoV‐2 Spike Protein through Molecular Dynamics Simulation (Adv. Theory Simul. 10/2021) (2021) (0)
- Path Space for Recurrent Neural Networks with ReLU Activations (2019) (0)
- Optimal Groupon Allocations (2013) (0)
- Appendix: How could Neural Networks understand Programs? (2021) (0)
- A Dataset of Discovering Drug-Target Interaction from Biomedical Literature (2021) (0)
- Convergence Analysis of Ranking Measures for Web Search (2010) (0)
- SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition (2022) (0)
- ReLyMe (2022) (0)
- Efficient Mechanism Design for Online Scheduling (Extended Abstract) (2017) (0)
- Pricing Optimization for Selling Reusable Resources (Extended Abstract) (2017) (0)
- Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation (2022) (0)
- Proceedings of the First International Workshop on Internet Advertising: Theory and Practice (IATP 2013) (2013) (0)
- Rejoinder to 'Reinforcement learning behaviors in sponsored search' (2016) (0)
- Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics (2021) (0)
- Impact of pandemic fatigue on the spread of COVID-19: a mathematical modelling study (2021) (0)
- PopMAG (2020) (0)
- Supplementary material: On Layer Norm in the Transformer Architecture (2020) (0)
- L EARNING TO T EACH (2018) (0)
- Propagation fondee sur une hierarchie de degres de contribution de documents (2006) (0)
- TRAINING NATURAL LANGUAGE GENERATION MOD- ELS (2019) (0)
- HierST (2021) (0)
- Temporally Correlated Task Scheduling for Sequence Learning (Appendix) (2021) (0)
- Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy (2019) (0)
- KGE-CL: Contrastive Learning of Knowledge Graph Embeddings (2021) (0)
- Machine Learning in Online Advertising held in conjunction with the 24 th Annual Conference on Neural Information Processing Systems (2010) (0)
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