Kai-wei Chang
#141,546
Most Influential Person Now
Kai-wei Chang's AcademicInfluence.com Rankings
Kai-wei Changcomputer-science Degrees
Computer Science
#6816
World Rank
#7181
Historical Rank
Data Mining
#158
World Rank
#158
Historical Rank
Machine Learning
#2335
World Rank
#2364
Historical Rank
Database
#3894
World Rank
#4051
Historical Rank
Download Badge
Computer Science
Kai-wei Chang's Degrees
- Bachelors Computer Science National Taiwan University
Similar Degrees You Can Earn
Why Is Kai-wei Chang Influential?
(Suggest an Edit or Addition)Kai-wei Chang'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
- LIBLINEAR: A Library for Large Linear Classification (2008) (8130)
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016) (2027)
- VisualBERT: A Simple and Performant Baseline for Vision and Language (2019) (1038)
- A dual coordinate descent method for large-scale linear SVM (2008) (987)
- Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017) (658)
- Generating Natural Language Adversarial Examples (2018) (633)
- Training and Testing Low-degree Polynomial Data Mappings via Linear SVM (2010) (491)
- Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods (2018) (472)
- Mitigating Gender Bias in Natural Language Processing: Literature Review (2019) (309)
- Learning Gender-Neutral Word Embeddings (2018) (284)
- The Woman Worked as a Babysitter: On Biases in Language Generation (2019) (281)
- Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2018) (265)
- Gender Bias in Contextualized Word Embeddings (2019) (265)
- A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification (2010) (257)
- Unified Pre-training for Program Understanding and Generation (2021) (245)
- GPT-GNN: Generative Pre-Training of Graph Neural Networks (2020) (221)
- Learning to Search Better than Your Teacher (2015) (216)
- A Transformer-based Approach for Source Code Summarization (2020) (196)
- Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment (2018) (177)
- How Much Can CLIP Benefit Vision-and-Language Tasks? (2021) (168)
- A sequential dual method for large scale multi-class linear svms (2008) (161)
- Large Linear Classification When Data Cannot Fit in Memory (2011) (149)
- Grounded Language-Image Pre-training (2021) (149)
- Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond (2020) (132)
- On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing (2018) (102)
- Towards Controllable Biases in Language Generation (2020) (85)
- What Does BERT with Vision Look At? (2020) (81)
- Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification (2019) (79)
- Examining Gender Bias in Languages with Grammatical Gender (2019) (77)
- BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation (2021) (71)
- Robustness Verification for Transformers (2020) (70)
- Societal Biases in Language Generation: Progress and Challenges (2021) (70)
- Multi-Relational Latent Semantic Analysis (2013) (70)
- A Constrained Latent Variable Model for Coreference Resolution (2013) (69)
- Context Attentive Document Ranking and Query Suggestion (2019) (64)
- Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer (2020) (62)
- Efficient Pattern-Based Time Series Classification on GPU (2012) (61)
- The University of Illinois System in the CoNLL-2013 Shared Task (2013) (59)
- SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics (2020) (59)
- Multi-Task Learning for Document Ranking and Query Suggestion (2018) (54)
- Coordinate Descent Method for Large-scale L 2-loss Linear SVM (2008) (53)
- Few-Shot Representation Learning for Out-Of-Vocabulary Words (2019) (52)
- A Joint Framework for Coreference Resolution and Mention Head Detection (2015) (51)
- Quantifying and Reducing Stereotypes in Word Embeddings (2016) (49)
- GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction (2020) (48)
- Selective block minimization for faster convergence of limited memory large-scale linear models (2011) (44)
- Inference Protocols for Coreference Resolution (2011) (40)
- Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems (2016) (38)
- Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble (2020) (36)
- Retrieval Augmented Code Generation and Summarization (2021) (35)
- Building Language Models for Text with Named Entities (2018) (34)
- Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs (2021) (33)
- Bias and Fairness in Natural Language Processing (2019) (32)
- Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble (2021) (30)
- Large linear classification when data cannot fit in memory (2010) (29)
- Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution (2021) (29)
- Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (2022) (28)
- Pre-Training Graph Neural Networks for Generic Structural Feature Extraction (2019) (28)
- Illinois-Coref: The UI System in the CoNLL-2012 Shared Task (2012) (27)
- Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context (2017) (25)
- DEGREE: A Data-Efficient Generation-Based Event Extraction Model (2021) (25)
- Towards Understanding Gender Bias in Relation Extraction (2019) (24)
- Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention (2020) (22)
- On the Robustness of Language Encoders against Grammatical Errors (2020) (22)
- Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction (2022) (22)
- “Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue Responses (2021) (22)
- Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages (2019) (22)
- Mitigating Gender Bias Amplification in Distribution by Posterior Regularization (2020) (22)
- Retrofitting Contextualized Word Embeddings with Paraphrases (2019) (21)
- On the Paradox of Learning to Reason from Data (2022) (21)
- On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations (2022) (21)
- Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions (2021) (20)
- PolicyQA: A Reading Comprehension Dataset for Privacy Policies (2020) (20)
- Learning to Search for Dependencies (2015) (19)
- Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning (2021) (19)
- A Credit Assignment Compiler for Joint Prediction (2014) (19)
- Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing (2019) (18)
- Learning Word Embeddings for Low-Resource Languages by PU Learning (2018) (18)
- Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference (2020) (18)
- Word and sentence embedding tools to measure semantic similarity of Gene Ontology terms by their definitions (2018) (18)
- Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning (2022) (16)
- Multi-core Structural SVM Training (2013) (16)
- Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? (2021) (16)
- Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search (2018) (15)
- AVATAR: A Parallel Corpus for Java-Python Program Translation (2021) (15)
- Adversarial Removal of Gender from Deep Image Representations (2018) (15)
- A Discriminative Latent Variable Model for Online Clustering (2014) (14)
- Syntax-augmented Multilingual BERT for Cross-lingual Transfer (2021) (14)
- Distributed block-diagonal approximation methods for regularized empirical risk minimization (2017) (14)
- Revealing Persona Biases in Dialogue Systems (2021) (14)
- Socially Aware Bias Measurements for Hindi Language Representations (2021) (13)
- Learning Bilingual Word Embeddings Using Lexical Definitions (2019) (13)
- Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal (2022) (13)
- IllinoisSL: A JAVA Library for Structured Prediction (2015) (13)
- DEGREE: A Data-Efficient Generative Event Extraction Model (2021) (13)
- Structural Learning with Amortized Inference (2015) (13)
- Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training (2021) (12)
- A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models (2022) (11)
- Tractable Semi-supervised Learning of Complex Structured Prediction Models (2013) (11)
- How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? (2022) (11)
- Intent Classification and Slot Filling for Privacy Policies (2021) (10)
- BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis (2021) (10)
- An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks (2022) (10)
- Learning to Represent Bilingual Dictionaries (2018) (10)
- Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions (2020) (10)
- A Comprehensive Typing System for Information Extraction from Clinical Narratives (2019) (10)
- On the Transferability of Adversarial Attacks against Neural Text Classifier (2020) (10)
- Automatic Perturbation Analysis on General Computational Graphs (2020) (9)
- On Measures of Biases and Harms in NLP (2021) (9)
- A Survey of Deep Learning for Mathematical Reasoning (2022) (9)
- Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems (2013) (9)
- On the Faithfulness Measurements for Model Interpretations (2021) (9)
- Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing (2018) (8)
- SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning (2021) (8)
- “The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition (2020) (8)
- Resource Constrained Structured Prediction (2016) (8)
- LOGAN: Local Group Bias Detection by Clustering (2020) (8)
- Event Extraction as Natural Language Generation (2021) (8)
- On the Sensitivity and Stability of Model Interpretations in NLP (2021) (8)
- Distributed Training of Structured SVM (2015) (8)
- Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization (2020) (8)
- Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation (2021) (7)
- Evaluating the Values of Sources in Transfer Learning (2021) (7)
- Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models (2021) (7)
- What do Bias Measures Measure? (2021) (7)
- Representation Learning for Resource-Constrained Keyphrase Generation (2022) (6)
- Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks (2018) (6)
- Counterexamples for Robotic Planning Explained in Structured Language (2018) (6)
- Semantic Probabilistic Layers for Neuro-Symbolic Learning (2022) (6)
- GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models (2022) (6)
- Annotating Gene Ontology terms for protein sequences with the Transformer model (2020) (6)
- Counterfactual Language Model Adaptation for Suggesting Phrases (2017) (6)
- Improving the Adversarial Robustness of NLP Models by Information Bottleneck (2022) (6)
- Evaluating Representations for Gene Ontology Terms (2019) (6)
- Relation-Guided Pre-Training for Open-Domain Question Answering (2021) (5)
- Robustness and Adversarial Examples in Natural Language Processing (2021) (5)
- SpeechNet: A Universal Modularized Model for Speech Processing Tasks (2021) (5)
- Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning (2022) (4)
- Controllable Text Generation with Neurally-Decomposed Oracle (2022) (4)
- Efficient Contextual Representation Learning With Continuous Outputs (2019) (4)
- Neuro-Symbolic Entropy Regularization (2022) (4)
- Cross-Lingual Dependency Parsing by POS-Guided Word Reordering (2020) (4)
- PYLON: A PyTorch Framework for Learning with Constraints (2022) (4)
- Adapting Coreference Resolution for Processing Violent Death Narratives (2021) (4)
- Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages (2022) (4)
- Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks (2022) (3)
- An Integer Linear Programming Framework for Mining Constraints from Data (2020) (3)
- Efficient Contextual Representation Learning Without Softmax Layer (2019) (3)
- CREATe: Clinical Report Extraction and Annotation Technology (2021) (3)
- Analyzing and Mitigating Gender Bias in Languages with Grammatical Gender and Bilingual Word Embeddings (2019) (3)
- "Nice Try, Kiddo": Ad Hominems in Dialogue Systems (2020) (3)
- Aggression, Escalation, and Other Latent Themes in Legal Intervention Deaths of Non-Hispanic Black and White Men: Results From the 2003‒2017 National Violent Death Reporting System. (2021) (3)
- Conditional Supervised Contrastive Learning for Fair Text Classification (2022) (3)
- Provable, Scalable and Automatic Perturbation Analysis on General Computational Graphs (2020) (3)
- Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance (2020) (3)
- Watermarking Pre-trained Language Models with Backdooring (2022) (3)
- MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier (2022) (2)
- Toward Degradation-Robust Voice Conversion (2021) (2)
- Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering (2022) (2)
- Quantification and Analysis of Scientific Language Variation Across Research Fields (2018) (2)
- Learning Representations for Gene Ontology Terms by Contextualized Text Encoders (2019) (2)
- XAlgo: Explaining the Internal States of Algorithms via Question Answering (2020) (2)
- Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study (2022) (2)
- Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples (2022) (2)
- REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory (2022) (2)
- Structured Prediction with Test-time Budget Constraints (2016) (2)
- DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation (2022) (2)
- Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models (2023) (2)
- Learning Robust, Transferable Sentence Representations for Text Classification (2018) (2)
- Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations (2022) (1)
- Robust Text Classifier on Test-Time Budgets (2018) (1)
- Learning and Inference in Structured Prediction Models AAAI 2016 Tutorial Syllabus (2016) (1)
- Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured? (2018) (1)
- Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense (2022) (1)
- Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies (2022) (1)
- Learning to Suggest Phrases (2017) (1)
- Visualizing Trends of Key Roles in News Articles (2019) (1)
- The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks (2022) (1)
- Measuring Fairness of Text Classifiers via Prediction Sensitivity (2022) (1)
- An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation (2022) (1)
- Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding (2022) (1)
- Computational Analysis of French Reborrowing Process for English Loanwords (2019) (1)
- Building a Robust Text Classifier on a Test-Time Budget (2018) (1)
- Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System (2022) (1)
- Hands-on Learning to Search for Structured Prediction (2015) (0)
- Weight Perturbation as Defense against Adversarial Word Substitutions (2022) (0)
- GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types (2022) (0)
- Selective algorithms for large-scale classification and structured learning (2015) (0)
- CoBIT: A Contrastive Bi-directional Image-Text Generation Model (2023) (0)
- Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling (2022) (0)
- ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation (2022) (0)
- Incorporating Fairness in Large Scale NLU Systems (2023) (0)
- A Corpus to Learn Refer-to-as Relations for Nominals (2018) (0)
- Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers (2022) (0)
- A Simple and Unified Tagging Model with Priming for Relational Structure Predictions (2022) (0)
- Ensemble knowledge distillation of self-supervised speech models (2023) (0)
- Generating universal language adversarial examples by understanding and enhancing the transferability across neural models (2020) (0)
- Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN (2022) (0)
- Toward Finding The Global Optimal of Adversarial Examples (2019) (0)
- Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models (2022) (0)
- GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods (2023) (0)
- Distributed block-diagonal approximation methods for regularized empirical risk minimization (2019) (0)
- DRAFT DO NOT DISTRIBUTE Improved sentence completions in email using context (2016) (0)
- SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks (2023) (0)
- CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning (2023) (0)
- Semantic Strengthening of Neuro-Symbolic Learning (2023) (0)
- BOSH: An Efficient Meta Algorithm for Decision-based Attacks (2019) (0)
- A Discriminative Latent Variable Model for Clustering of Streaming Data with Application to Coreference Resolution (2013) (0)
- PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English (2022) (0)
- KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems (2023) (0)
- Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction (2021) (0)
- Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract) (2020) (0)
This paper list is powered by the following services:
