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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)

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks NeurIPS 2019 Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach NeurIPS 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 Retrieval-Enhanced Adversarial Training for Neural Response Generation ACL 2019 Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework EMNLP 2019 Retrofitting Contextualized Word Embeddings with Paraphrases EMNLP 2019 Revealing and Predicting Online Persuasion Strategy with Elementary Units EMNLP 2019 Revealing interpretable object representations from human behavior ICLR 2019 Revealing the Dark Secrets of BERT EMNLP 2019 Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions AAAI 2019 Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics NeurIPS 2019 Reverse-Engineering Satire, or “Paper on Computational Humor Accepted despite Making Serious Advances” AAAI 2019 “Reverse Gerrymandering”: Manipulation in Multi-Group Decision Making AAAI 2019 Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations NAACL 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019 Revisiting the Evaluation of Theory of Mind through Question Answering EMNLP 2019 Revisiting Visual Grounding NAACL 2019 Reward Constrained Policy Optimization ICLR 2019 Rewarding Coreference Resolvers for Being Consistent with World Knowledge EMNLP 2019 Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation ACL 2019 Ridesharing with Driver Location Preferences IJCAI 2019 Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping CoRL 2019 Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL 2019 Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures ICLR 2019