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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)

Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise ICML 2021 Provable Guarantees on the Robustness of Decision Rules to Causal Interventions IJCAI 2021 Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature NeurIPS 2021 Provable Rich Observation Reinforcement Learning with Combinatorial Latent States ICLR 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case AISTATS 2021 Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning NeurIPS 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021 Provably Efficient Learning of Transferable Rewards ICML 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Provably efficient, succinct, and precise explanations NeurIPS 2021 Provably robust classification of adversarial examples with detection ICLR 2021 Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics RSS 2021 Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021 Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems L4DC 2021 Provably Secure Federated Learning against Malicious Clients AAAI 2021 Provably Strict Generalisation Benefit for Equivariant Models ICML 2021 Proximal and Sparse Resolution of Constrained Dynamic Equations RSS 2021 Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021 Proxy Indicators for the Quality of Open-domain Dialogues EMNLP 2021 pRSL: Interpretable multi-label stacking by learning probabilistic rules UAI 2021 Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 Pruning Randomly Initialized Neural Networks with Iterative Randomization NeurIPS 2021 Pushing It Out of the Way: Interactive Visual Navigation CVPR 2021