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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)

DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models NeurIPS 2023 DDNeRF: Depth Distribution Neural Radiance Fields WACV 2023 Dealing with Unknown Variances in Best-Arm Identification ALT 2023 DeAR: Debiasing Vision-Language Models With Additive Residuals CVPR 2023 DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing ICLR 2023 Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract) AAAI 2023 Debiasing Multimodal Models via Causal Information Minimization EMNLP 2023 Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes NeurIPS 2023 Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models ACL 2023 Debunking Biases in Attention ACL 2023 Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression ICCV 2023 DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases ICLR 2023 DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training ICLR 2023 Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games ICLR 2023 Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards NeurIPS 2023 Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty JMLR 2023 Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models ICLR 2023 Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy CoRL 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NeurIPS 2023 Deciphering Stereotypes in Pre-Trained Language Models EMNLP 2023 DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4 EMNLP 2023 Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models NeurIPS 2023 Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification ACL 2023 Decoding Layer Saliency in Language Transformers ICML 2023 Decoding Stumpers: Large Language Models vs. Human Problem-Solvers EMNLP 2023