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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020 What Can Learned Intrinsic Rewards Capture? ICML 2020 What Can Neural Networks Reason About? ICLR 2020 What Can We Do to Improve Peer Review in NLP? EMNLP 2020 What Can We Learn from Collective Human Opinions on Natural Language Inference Data? EMNLP 2020 What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks ACL 2020 What Determines the Order of Verbal Dependents in Hindi? Effects of Efficiency in Comprehension and Production EMNLP 2020 What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes NeurIPS 2020 What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information? Interspeech 2020 What Does BERT with Vision Look At? ACL 2020 “What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL EMNLP 2020 What Have We Achieved on Text Summarization? EMNLP 2020 What-if I ask you to explain: Explaining the effects of perturbations in procedural text EMNLP 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020 What is Learned in Visually Grounded Neural Syntax Acquisition ACL 2020 What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020 What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images CVPR 2020 What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020 What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020 What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL 2020 What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models EMNLP 2020 What’s The Latest? A Question-driven News Chatbot ACL 2020 What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context ACL 2020 What went wrong and when? Instance-wise feature importance for time-series black-box models NeurIPS 2020