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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)

EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification ACL 2024 ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets Interspeech 2024 Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 2024 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation NeurIPS 2024 Expand-and-Cluster: Parameter Recovery of Neural Networks ICML 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment AAAI 2024 Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NeurIPS 2024 Expected flow networks in stochastic environments and two-player zero-sum games ICLR 2024 Expected Work Search: Combining Win Rate and Proof Size Estimation IJCAI 2024 Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction ACL 2024 Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders AAAI 2024 Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment CLeaR 2024 ExpeL: LLM Agents Are Experiential Learners AAAI 2024 Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues EMNLP 2024 Experience-based multi-agent path finding with narrow corridors RSS 2024 Experiential Co-Learning of Software-Developing Agents ACL 2024 Experimenting with Discourse Segmentation of Taiwan Southern Min Spontaneous Speech EACL 2024 ExpertEase: A Multi-Agent Framework for Grade-Specific Document Simplification with Large Language Models EMNLP 2024 Expert-level protocol translation for self-driving labs NeurIPS 2024 ExpertQA: Expert-Curated Questions and Attributed Answers NAACL 2024 Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairs ICML 2024 Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024 Explainable AI in Language Learning: Linking Empirical Evidence and Theoretical Concepts in Proficiency and Readability Modeling of Portuguese NAACL 2024