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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)

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP 2020 Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge NeurIPS 2020 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020 Learnable Bernoulli Dropout for Bayesian Deep Learning AISTATS 2020 Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language AAAI 2020 Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020 Learning 3D Dynamic Scene Representations for Robot Manipulation CoRL 2020 Learning Adaptive Language Interfaces through Decomposition EMNLP 2020 Learning Adaptive Segmentation Policy for Simultaneous Translation EMNLP 2020 Learning a Decentralized Multi-Arm Motion Planner CoRL 2020 Learning a Decision Module by Imitating Driver’s Control Behaviors CoRL 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Agent Representations for Ice Hockey NeurIPS 2020 Learning a natural-language to LTL executable semantic parser for grounded robotics CoRL 2020 Learning and Reasoning for Robot Sequential Decision Making under Uncertainty AAAI 2020 Learning and Sampling of Atomic Interventions from Observations ICML 2020 Learning and Solving Regular Decision Processes IJCAI 2020 Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles CoRL 2020 Learning an Unreferenced Metric for Online Dialogue Evaluation ACL 2020 Learning Architectures from an Extended Search Space for Language Modeling ACL 2020 Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020 Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference COLING 2020 Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty L4DC 2020 Learning Behaviors with Uncertain Human Feedback UAI 2020 Learning Better Speech Representations by Worsening Interference Interspeech 2020