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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)

MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated Objects ICCV 2023 MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior ICML 2023 Machine Reading Comprehension using Case-based Reasoning EMNLP 2023 MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space EMNLP 2023 MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection ICLR 2023 Maestro: A Gamified Platform for Teaching AI Robustness AAAI 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023 MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models EMNLP 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network NeurIPS 2023 Magic3D: High-Resolution Text-to-3D Content Creation CVPR 2023 MAGI: Multi-Annotated Explanation-Guided Learning ICCV 2023 MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations EMNLP 2023 MAGVIT: Masked Generative Video Transformer CVPR 2023 MAGVLT: Masked Generative Vision-and-Language Transformer CVPR 2023 Make-a-Story: Visual Memory Conditioned Consistent Story Generation CVPR 2023 Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data ACL 2023 Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making EMNLP 2023 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 Making Language Models Better Reasoners with Step-Aware Verifier ACL 2023 Making Pre-trained Language Models both Task-solvers and Self-calibrators ACL 2023 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples ICLR 2023 Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds ICLR 2023 MaLP: Manipulation Localization Using a Proactive Scheme CVPR 2023 ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting CoRL 2023 Manifold-Preserving Transformers are Effective for Short-Long Range Encoding EMNLP 2023