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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)

Learning to Jump from Pixels CoRL 2021 Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks EMNLP 2021 Learning to Make Decisions via Submodular Regularization ICLR 2021 Learning to Predict Trustworthiness with Steep Slope Loss NeurIPS 2021 Learning to Predict Vehicle Trajectories with Model-based Planning CoRL 2021 Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking EMNLP 2021 Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision AAAI 2021 Learning to Reach Goals via Iterated Supervised Learning ICLR 2021 Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021 Learning to Regrasp by Learning to Place CoRL 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 Learning to Rewrite for Non-Autoregressive Neural Machine Translation EMNLP 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer ICLR 2021 Learning to Select Question-Relevant Relations for Visual Question Answering NAACL 2021 Learning to Set Waypoints for Audio-Visual Navigation ICLR 2021 Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control AAAI 2021 Learning to Solve NLP Tasks in an Incremental Number of Languages ACL 2021 Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021 Learning to Stop with Surprisingly Few Samples COLT 2021 Learning to Synthesize Programs as Interpretable and Generalizable Policies NeurIPS 2021 Learning To Track Objects From Unlabeled Videos ICCV 2021 Learning to Weight Imperfect Demonstrations ICML 2021 Learning Transferable Adversarial Perturbations NeurIPS 2021 Learning Transferable Visual Models From Natural Language Supervision ICML 2021 Learning Treatment Effects in Panels with General Intervention Patterns NeurIPS 2021