Jason Aaron Edward Weston
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Jason Aaron Edward Westoncomputer-science Degrees
Computer Science
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Computational Linguistics
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Computer Science
Why Is Jason Aaron Edward Weston Influential?
(Suggest an Edit or Addition)Jason Aaron Edward Weston'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
- Natural Language Processing (Almost) from Scratch (2011) (7182)
- A unified architecture for natural language processing: deep neural networks with multitask learning (2008) (5447)
- Translating Embeddings for Modeling Multi-relational Data (2013) (5111)
- Gene Selection for Cancer Classification using Support Vector Machines (2002) (4754)
- Learning with Local and Global Consistency (2003) (4163)
- Curriculum learning (2009) (3917)
- Fisher discriminant analysis with kernels (1999) (3017)
- A Neural Attention Model for Abstractive Sentence Summarization (2015) (2379)
- End-To-End Memory Networks (2015) (2221)
- Semi-supervised learning for peptide identification from shotgun proteomics datasets (2007) (1688)
- Reading Wikipedia to Answer Open-Domain Questions (2017) (1446)
- Multi-Class Support Vector Machines (1998) (1370)
- A kernel method for multi-labelled classification (2001) (1348)
- Memory Networks (2014) (1290)
- Feature Selection for SVMs (2000) (1167)
- Deep learning via semi-supervised embedding (2008) (998)
- Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks (2015) (995)
- Personalizing Dialogue Agents: I have a dog, do you have pets too? (2018) (933)
- Support vector machines for multi-class pattern recognition (1999) (875)
- Use of the Zero-Norm with Linear Models and Kernel Methods (2003) (859)
- Learning Structured Embeddings of Knowledge Bases (2011) (828)
- A user's guide to support vector machines. (2010) (811)
- WSABIE: Scaling Up to Large Vocabulary Image Annotation (2011) (784)
- Key-Value Memory Networks for Directly Reading Documents (2016) (766)
- Ranking on Data Manifolds (2003) (760)
- Learning End-to-End Goal-Oriented Dialog (2016) (736)
- Fast Kernel Classifiers with Online and Active Learning (2005) (724)
- Question Answering with Subgraph Embeddings (2014) (644)
- Mismatch string kernels for discriminative protein classification (2004) (621)
- Large-scale Simple Question Answering with Memory Networks (2015) (609)
- A semantic matching energy function for learning with multi-relational data (2013) (582)
- Wizard of Wikipedia: Knowledge-Powered Conversational agents (2018) (578)
- The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations (2015) (573)
- Recipes for Building an Open-Domain Chatbot (2020) (535)
- Cluster Kernels for Semi-Supervised Learning (2002) (521)
- Support vector channel selection in BCI (2004) (520)
- Large Scale Transductive SVMs (2006) (503)
- Adversarial NLI: A New Benchmark for Natural Language Understanding (2019) (494)
- Large scale image annotation: learning to rank with joint word-image embeddings (2010) (445)
- Trading convexity for scalability (2006) (393)
- Label Embedding Trees for Large Multi-Class Tasks (2010) (365)
- Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing (2012) (357)
- Mismatch String Kernels for SVM Protein Classification (2002) (354)
- Deep learning from temporal coherence in video (2009) (351)
- Gene functional classification from heterogeneous data (2001) (327)
- Open Question Answering with Weakly Supervised Embedding Models (2014) (317)
- Large-scale kernel machines (2007) (314)
- Neural Text Generation with Unlikelihood Training (2019) (307)
- Semisupervised Neural Networks for Efficient Hyperspectral Image Classification (2010) (303)
- Support Vector Machine Solvers (2007) (297)
- ParlAI: A Dialog Research Software Platform (2017) (284)
- Learning Gene Functional Classifications from Multiple Data Types (2002) (270)
- Semi-supervised Protein Classification Using Cluster Kernels (2003) (262)
- Vicinal Risk Minimization (2000) (256)
- The Second Conversational Intelligence Challenge (ConvAI2) (2019) (250)
- Improvements to the percolator algorithm for Peptide identification from shotgun proteomics data sets. (2009) (248)
- Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction (2013) (230)
- Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces (2003) (221)
- The Need for Open Source Software in Machine Learning (2007) (219)
- Invariant Feature Extraction and Classification in Kernel Spaces (1999) (218)
- Tracking the World State with Recurrent Entity Networks (2016) (213)
- What makes a good conversation? How controllable attributes affect human judgments (2019) (208)
- Embedded Methods (2006) (206)
- StarSpace: Embed All The Things! (2017) (192)
- Solving multiclass support vector machines with LaRank (2007) (190)
- Inference with the Universum (2006) (189)
- ELI5: Long Form Question Answering (2019) (186)
- Kernel Dependency Estimation (2002) (185)
- Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems (2015) (184)
- #TagSpace: Semantic Embeddings from Hashtags (2014) (174)
- Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring (2020) (172)
- Learning to Find Pre-Images (2003) (171)
- Approximation Methods for Gaussian Process Regression (2007) (169)
- Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins (2010) (154)
- Retrieve and Refine: Improved Sequence Generation Models For Dialogue (2018) (153)
- Dialogue Natural Language Inference (2018) (153)
- Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring (2019) (152)
- Support vector regression with ANOVA decomposition kernels (1999) (144)
- Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution (2015) (142)
- Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills (2020) (141)
- Support vector density estimation (1999) (140)
- Retrieval Augmentation Reduces Hallucination in Conversation (2021) (134)
- Protein ranking: from local to global structure in the protein similarity network. (2004) (133)
- Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack (2019) (129)
- Learning to rank with (a lot of) word features (2010) (128)
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot! (2019) (127)
- Queens Are Powerful Too: Mitigating Gender Bias in Dialogue Generation (2019) (127)
- Semantic Frame Identification with Distributed Word Representations (2014) (125)
- Learning to Speak and Act in a Fantasy Text Adventure Game (2019) (123)
- A Neural Attention Model for Sentence Summarization (2015) (123)
- Label Partitioning For Sublinear Ranking (2013) (119)
- Engaging Image Captioning via Personality (2018) (110)
- Feature selection and transduction for prediction of molecular bioactivity for drug design (2003) (110)
- ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons (2019) (109)
- Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training (2019) (109)
- Internet-Augmented Dialogue Generation (2021) (107)
- Weakly Supervised Memory Networks (2015) (105)
- Dialogue Learning With Human-In-The-Loop (2016) (103)
- Recipes for Safety in Open-domain Chatbots (2020) (102)
- Supervised semantic indexing (2009) (101)
- A general regression technique for learning transductions (2005) (101)
- Talk the Walk: Navigating New York City through Grounded Dialogue (2018) (98)
- Dialog-based Language Learning (2016) (97)
- Kernel methods for Multi-labelled classification and Categ orical regression problems (2001) (90)
- Breaking SVM Complexity with Cross-Training (2004) (87)
- User Conditional Hashtag Prediction for Images (2015) (84)
- Learning through Dialogue Interactions by Asking Questions (2016) (82)
- Training highly multiclass classifiers (2014) (82)
- Beyond Goldfish Memory: Long-Term Open-Domain Conversation (2021) (80)
- Latent Collaborative Retrieval (2012) (80)
- Transductive Inference for Estimating Values of Functions (1999) (78)
- A Kernel Approach for Learning from Almost Orthogonal Patterns (2002) (77)
- Online (and Offline) on an Even Tighter Budget (2005) (72)
- Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue (2019) (71)
- SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition (2007) (70)
- Fast Semantic Extraction Using a Novel Neural Network Architecture (2007) (69)
- Nonlinear latent factorization by embedding multiple user interests (2013) (68)
- Hash Layers For Large Sparse Models (2021) (68)
- Learning to rank recommendations with the k-order statistic loss (2013) (63)
- A Unified Multitask Architecture for Predicting Local Protein Properties (2012) (63)
- Image-Chat: Engaging Grounded Conversations (2018) (62)
- Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts (2009) (62)
- Multi-Dimensional Gender Bias Classification (2020) (60)
- Scaling Learning Algorithms toward AI (2007) (59)
- Emergent Translation in Multi-Agent Communication (2017) (58)
- Statistical Learning and Kernel Methods in Bioinformatics (2003) (57)
- BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage (2022) (57)
- Protein Ranking by Semi-Supervised Network Propagation (2006) (55)
- Leave-One-Out Support Vector Machines (1999) (54)
- Polynomial Semantic Indexing (2009) (53)
- Extension of the nu-SVM range for classification (2003) (52)
- Large scale manifold transduction (2008) (52)
- The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents (2019) (51)
- I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling (2020) (49)
- Large-Scale Learning with String Kernels (2007) (48)
- Multi-Tasking with Joint Semantic Spaces for Large-Scale Music Annotation and Retrieval (2011) (47)
- Bot-Adversarial Dialogue for Safe Conversational Agents (2021) (47)
- Support Vector Machines for Multi-class Pattern Recognition 1. K-class Pattern Recognition 2. Solving K-class Problems with Binary Svms (1999) (47)
- Jump to better conclusions: SCAN both left and right (2018) (46)
- Multi-class Protein Classification Using Adaptive Codes (2007) (46)
- Dealing with large diagonals in kernel matrices (2003) (44)
- Multi-class protein fold recognition using adaptive codes (2005) (42)
- Adaptive margin support vector machines for classification (1999) (41)
- Importance of a Search Strategy in Neural Dialogue Modelling (2018) (40)
- Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion (2022) (37)
- Density Estimation using Support Vector Machines (1998) (37)
- Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers (2019) (37)
- Identifying remote protein homologs by network propagation (2005) (35)
- Direct Maximization of Protein Identifications from Tandem Mass Spectra* (2011) (35)
- Joint Kernel Maps (2005) (34)
- Irreflexive and Hierarchical Relations as Translations (2013) (33)
- Motif-based protein ranking by network propagation (2005) (33)
- Towards Understanding Situated Natural Language (2010) (30)
- A General Regression Framework for Learning String-to-String Mappings (2006) (30)
- Prediction on Spike Data Using Kernel Algorithms (2003) (30)
- Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding (2011) (29)
- Rankprop: a web server for protein remote homology detection (2008) (29)
- Combining classifiers for improved classification of proteins from sequence or structure (2008) (29)
- Semi-Supervised Neural Networks for Efficient Hyperspectral Image Classification (2009) (28)
- Large-Scale Kernel Machines (Neural Information Processing) (2007) (28)
- Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions (2020) (27)
- Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences (2010) (27)
- How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds (2020) (26)
- Finding Generalizable Evidence by Learning to Convince Q&A Models (2019) (25)
- Extensions to the support vector method (1999) (24)
- Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent (2017) (24)
- NormFormer: Improved Transformer Pretraining with Extra Normalization (2021) (23)
- Engaging Image Chat: Modeling Personality in Grounded Dialogue (2018) (23)
- Combining labeled and unlabeled data with word-class distribution learning (2009) (22)
- Semi-Supervised Sequence Labeling with Self-Learned Features (2009) (22)
- Joint Image and Word Sense Discrimination for Image Retrieval (2012) (22)
- Deep Learning for Character-Based Information Extraction (2014) (22)
- Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces (2011) (21)
- Adaptive Margin Support Vector Machines (2000) (21)
- Proceedings of the 1st Workshop on Representation Learning for NLP (2016) (20)
- Generating Interactive Worlds with Text (2019) (19)
- Reason first, then respond: Modular Generation for Knowledge-infused Dialogue (2021) (18)
- Not All Memories are Created Equal: Learning to Forget by Expiring (2021) (17)
- Deploying Lifelong Open-Domain Dialogue Learning (2020) (17)
- Why Build an Assistant in Minecraft? (2019) (16)
- Director: Generator-Classifiers For Supervised Language Modeling (2022) (16)
- Multi-Modal Open-Domain Dialogue (2020) (15)
- Learning Through Dialogue Interactions (2016) (15)
- Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents (2022) (15)
- Learning semantic representations of objects and their parts (2014) (14)
- KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug Design-Binding to Thrombin (2001) (13)
- Large-Scale Parallel SVM Implementation (2007) (13)
- Large-Scale Semi-Supervised Learning (2007) (12)
- Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback (2022) (12)
- Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction (2010) (12)
- I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents (2019) (11)
- Latent Structured Ranking (2012) (11)
- Structural bioinformatics Semi-supervised protein classification using cluster kernels (2005) (11)
- Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity (2021) (11)
- Large-Scale Clustering through Functional Embedding (2008) (10)
- Improving Conditioning in Context-Aware Sequence to Sequence Models (2019) (10)
- Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots (2021) (9)
- Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls (2022) (8)
- The Improved Fast Gauss Transform with Applications to Machine Learning (2007) (7)
- Semi-Supervised Learning through Principal Directions Estimation (2003) (7)
- Affinity Weighted Embedding (2013) (6)
- A Distributed Sequential Solver for Large-Scale SVMs (2007) (6)
- All-in-One Image-Grounded Conversational Agents (2019) (5)
- A semantic matching energy function for learning with multi-relational data (2013) (5)
- Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings (2011) (5)
- Vehicle Community Strategies (2018) (5)
- Semi-supervised Learning by Maximizing Smoothness (2004) (5)
- Vehicle Communication Strategies for Simulated Highway Driving (2018) (5)
- Staircase Attention for Recurrent Processing of Sequences (2021) (4)
- The CRINGE Loss: Learning what language not to model (2022) (3)
- Fast Binary and Multi-Output Reduced Set Selection (2004) (3)
- On the Pre-Image Problem in Kernel Methods (2007) (3)
- Chapter 13 A User ’ s Guide to Support Vector Machines (2009) (3)
- Talk The Walk: Navigating Grids in New York City through Grounded Dialogue (2018) (3)
- When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels (2022) (2)
- Introduction to the special issue on learning semantics (2014) (2)
- Contextualized Role Interaction for Neural Machine Translation (2018) (2)
- Building SVMs with Reduced Classifier Complexity (2007) (2)
- Training Highly Multi-class Linear Classifiers (2014) (2)
- Statistical Learning Theory in Practice (2013) (2)
- Data cleaning algorithms with applications to micro-array experiments (2001) (2)
- Half Transductive Ranking (2010) (2)
- Fast Kernel Learning with Sparse Inverted Index (2007) (1)
- Memory Networks for Recommendation (2017) (1)
- Web Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings (2010) (1)
- Training Invariant SVMs Using Selective Sampling (2007) (1)
- Knowledge-powered Conversational agents (2018) (1)
- Brisk Kernel Independent Component Analysis (2007) (1)
- Supplementary for ECIR 2014 Paper “ Deep Learning for Character-based Information Extraction on Chinese and Protein Sequence ” (2014) (1)
- Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms (2003) (1)
- Learning improved linear transforms for speech recognition (2012) (1)
- No . 120 Support Vector Channel Selection in BCI (2003) (1)
- Newton Methods for Fast Semisupervised Linear SVMs (2007) (1)
- 1 Trading Convexity for Scalability (2008) (1)
- Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs (2016) (1)
- Embedding Methods for Natural Language Processing (2014) (1)
- N EURAL T EXT DE G ENERATION WITH U NLIKELIHOOD T RAINING (2019) (0)
- Towards Understanding Situated Text : Concept Labeling and Weak Supervision (2009) (0)
- Under Review as a Conference Paper at Iclr 2017 Learning through Dialogue Interactions (2016) (0)
- Supervised Semantic Indexing for Ranking Documents (2009) (0)
- The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation (2023) (0)
- Q : How many of Warsaw ' s inhabitants spoke Polish in 1933 ? (2017) (0)
- RECURRENT ENTITY NETWORKS (2016) (0)
- ENGAGING IMAGE CAPTIONING (2018) (0)
- Learning semantic representations of objects and their parts (2013) (0)
- Learning to Reason and Memorize with Self-Notes (2023) (0)
- Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models (2023) (0)
- Invariant Feature Extra tion andClassi ation in Kernel Spa (2000) (0)
- Connecting Large-Scale Knowledge Bases and Natural Language (2013) (0)
- Dealing with large diagonals in kernel matrices : New trends in statistical information processing (2003) (0)
- Label Ranking under Ambiguous Supervision: An Application for Learning Semantic Correspondences (2010) (0)
- Supplement to “ Direct maximization of protein identifications from tandem mass spectra ” (2009) (0)
- Infusing Commonsense World Models with Graph Knowledge (2023) (0)
- A Composite of Heterogeneous Sources Recommenders (CHR) (2020) (0)
- A Kernel Approa h for Learning From AlmostOrthogonal (2002) (0)
- Introduction to the special issue on learning semantics (2013) (0)
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What Schools Are Affiliated With Jason Aaron Edward Weston?
Jason Aaron Edward Weston is affiliated with the following schools:
