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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)

Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts EMNLP 2023 Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking CVPR 2023 Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark NeurIPS 2023 StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments CVPR 2023 STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events NeurIPS 2023 State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding NeurIPS 2023 State-Conditioned Adversarial Subgoal Generation AAAI 2023 Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning ICLR 2023 StateMask: Explaining Deep Reinforcement Learning through State Mask NeurIPS 2023 State Regularized Policy Optimization on Data with Dynamics Shift NeurIPS 2023 State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking ACML 2023 State-wise Safe Reinforcement Learning: A Survey IJCAI 2023 Static and Sequential Malicious Attacks in the Context of Selective Forgetting NeurIPS 2023 Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions ICLR 2023 Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits NeurIPS 2023 Statistical Indistinguishability of Learning Algorithms ICML 2023 Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023 Statistical Knowledge Assessment for Large Language Models NeurIPS 2023 Statistically Profiling Biases in Natural Language Reasoning Datasets and Models EMNLP 2023 Statistically Valid Variable Importance Assessment through Conditional Permutations NeurIPS 2023 Stay Moral and Explore: Learn to Behave Morally in Text-based Games ICLR 2023 STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023 Stealthy Terrain-Aware Multi-Agent Active Search CoRL 2023 SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF EMNLP 2023 STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants EMNLP 2023