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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)

Dense Reward for Free in Reinforcement Learning from Human Feedback ICML 2024 Dense Vision Transformer Compression with Few Samples CVPR 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction CVPR 2024 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 Dependency Annotation of Ottoman Turkish with Multilingual BERT EACL 2024 DePLM: Denoising Protein Language Models for Property Optimization NeurIPS 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 Depression Enhances Internal Inconsistency between Spoken and Semantic Emotion: Evidence from the Analysis of Emotion Expression in Conversation Interspeech 2024 DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism NeurIPS 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data CVPR 2024 Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery ECCV 2024 DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents NAACL 2024 Deriving Entity-Specific Embeddings from Multi-Entity Sequences COLING 2024 Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation WACV 2024 Describing Differences in Image Sets with Natural Language CVPR 2024 Desiderata for Representation Learning: A Causal Perspective JMLR 2024 Desiderata For The Context Use Of Question Answering Systems EACL 2024 Desigen: A Pipeline for Controllable Design Template Generation CVPR 2024 Design2Cloth: 3D Cloth Generation from 2D Masks CVPR 2024 Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024 Designing Behavior-Aware AI to Improve the Human-AI Team Performance in AI-Assisted Decision Making IJCAI 2024 Designing Decision Support Systems using Counterfactual Prediction Sets ICML 2024 Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens CLeaR 2024 Designing Skill-Compatible AI: Methodologies and Frameworks in Chess ICLR 2024 Design Proteins Using Large Language Models: Enhancements and Comparative Analyses ACL 2024