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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Learning Human Driving Behaviors with Sequential Causal Imitation Learning AAAI 2022 Learning in Congestion Games with Bandit Feedback NeurIPS 2022 Learning in Markov games: Can we exploit a general-sum opponent? UAI 2022 Learning in Observable POMDPs, without Computationally Intractable Oracles NeurIPS 2022 Learning in Stochastic Monotone Games with Decision-Dependent Data AISTATS 2022 Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization EMNLP 2022 Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion EMNLP 2022 Learning Interpretable BEV Based VIO without Deep Neural Networks CoRL 2022 Learning Interpretable, High-Performing Policies for Autonomous Driving RSS 2022 Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings AISTATS 2022 Learning Label Initialization for Time-Dependent Harmonic Extension. IJCAI 2022 Learning large Bayesian networks with expert constraints UAI 2022 Learning linear non-Gaussian directed acyclic graph with diverging number of nodes JMLR 2022 Learning Logic Programs Though Divide, Constrain, and Conquer AAAI 2022 Learning Losses for Strategic Classification AAAI 2022 Learning low-dimensional generalizable natural features from retina using a U-net NeurIPS 2022 Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022 Learning Mixed Strategies in Trajectory Games RSS 2022 Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving AAAI 2022 Learning Modal-Invariant and Temporal-Memory for Video-Based Visible-Infrared Person Re-Identification CVPR 2022 Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation CoRL 2022 Learning more skills through optimistic exploration ICLR 2022 Learning Multimodal VAEs through Mutual Supervision ICLR 2022 Learning Network Architecture for Open-Set Recognition AAAI 2022 Learning Neural Contextual Bandits through Perturbed Rewards ICLR 2022