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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)

When to Classify Events in Open Times Series? ACML 2022 When to Intervene: Learning Optimal Intervention Policies for Critical Events NeurIPS 2022 When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and Its Intensity COLING 2022 When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NeurIPS 2022 When To Prune? A Policy Towards Early Structural Pruning CVPR 2022 When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning NeurIPS 2022 When Votes Change and Committees Should (Not) IJCAI 2022 Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers COLING 2022 Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability NeurIPS 2022 Where’s the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit EMNLP 2022 Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications COLING 2022 Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals ACL 2022 Where To Start? Transferring Simple Skills to Complex Environments CoRL 2022 Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations NeurIPS 2022 Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media ACL 2022 Whitening Convergence Rate of Coupling-based Normalizing Flows NeurIPS 2022 Who did it? Identifying the Most Likely Origins of Events PGM 2022 Who did what to Whom? Language models and humans respond diversely to features affecting argument hierarchy construction AACL 2022 Who is GPT-3? An exploration of personality, values and demographics EMNLP 2022 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL ICLR 2022 Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production EMNLP 2022 Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild CVPR 2022 Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection EMNLP 2022 Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction CVPR 2022 Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective NeurIPS 2022