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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)

Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024 DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models EMNLP 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling L4DC 2024 Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs ICLR 2024 Dynamic Sparse Training with Structured Sparsity ICLR 2024 Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation ACL 2024 Dynamic Weighted Combiner for Mixed-Modal Image Retrieval AAAI 2024 Dynamic Weighted Graph Fusion for Deep Multi-View Clustering IJCAI 2024 DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NeurIPS 2024 DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models EMNLP 2024 DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems ICML 2024 Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs CVPR 2024 E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024 E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024 E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation ECCV 2024 E5: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate NAACL 2024 EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024 EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding NeurIPS 2024 EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty ICML 2024 EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas NeurIPS 2024 Early-Exit Neural Networks with Nested Prediction Sets UAI 2024 Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting MLHC 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024 EarthLoc: Astronaut Photography Localization by Indexing Earth from Space CVPR 2024