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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 Multimodal Rewards from Rankings CoRL 2021 Learning Multi-Scene Absolute Pose Regression With Transformers ICCV 2021 Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation IJCAI 2021 Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch ICLR 2021 Learning One Representation to Optimize All Rewards NeurIPS 2021 Learning Optimal Auctions with Correlated Valuations from Samples ICML 2021 Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs NeurIPS 2021 Learning Prediction Intervals for Model Performance AAAI 2021 Learning Prototypical Functions for Physical Artifacts ACL 2021 Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis ICML 2021 Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues ICLR 2021 Learning Relation Alignment for Calibrated Cross-modal Retrieval ACL 2021 Learning Representations by Humans, for Humans ICML 2021 Learning Reward Functions from Scale Feedback CoRL 2021 Learning Rewards From Linguistic Feedback AAAI 2021 Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates ICLR 2021 Learning Self-Consistency for Deepfake Detection ICCV 2021 Learning Signal-Agnostic Manifolds of Neural Fields NeurIPS 2021 Learning Space Partitions for Path Planning NeurIPS 2021 Learning Speech Models from Multi-Modal Data Interspeech 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021 Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems NeurIPS 2021 Learning Statistical Texture for Semantic Segmentation CVPR 2021 Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021 Learning Structural Edits via Incremental Tree Transformations ICLR 2021