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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)

On Knowledge Distillation for Translating Erroneous Speech Transcriptions ACL 2021 On learning and representing social meaning in NLP: a sociolinguistic perspective NAACL 2021 On Learning the Geodesic Path for Incremental Learning CVPR 2021 On Learning Universal Representations Across Languages ICLR 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021 Online Action Recognition AAAI 2021 Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021 Online Control of Unknown Time-Varying Dynamical Systems NeurIPS 2021 Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021 Online Learning and Control of Complex Dynamical Systems from Sensory Input NeurIPS 2021 Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021 Online Learning in Periodic Zero-Sum Games NeurIPS 2021 Online Learning of Action Models for PDDL Planning IJCAI 2021 Online Learning Of Neural Computations From Sparse Temporal Feedback NeurIPS 2021 On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces AAAI 2021 Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games COLT 2021 Online Market Equilibrium with Application to Fair Division NeurIPS 2021 Online Multi-Armed Bandits with Adaptive Inference NeurIPS 2021 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021 Online Posted Pricing with Unknown Time-Discounted Valuations AAAI 2021 Online Robust Control of Nonlinear Systems with Large Uncertainty AISTATS 2021 Online Robust Reinforcement Learning with Model Uncertainty NeurIPS 2021 Online Selection of Diverse Committees IJCAI 2021 Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems ICML 2021 On Locality of Local Explanation Models NeurIPS 2021