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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)

Offline RL for Natural Language Generation with Implicit Language Q Learning ICLR 2023 Off-Policy Evaluation for Human Feedback NeurIPS 2023 Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023 OLEA: Tool and Infrastructure for Offensive Language Error Analysis in English EACL 2023 OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis CVPR 2023 Omnidirectional Information Gathering for Knowledge Transfer-Based Audio-Visual Navigation ICCV 2023 OmniLabel: A Challenging Benchmark for Language-Based Object Detection ICCV 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract) AAAI 2023 On a Voter Model with Context-Dependent Opinion Adoption IJCAI 2023 On Batch Teaching Without Collusion JMLR 2023 Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning EMNLP 2023 On Compositional Uncertainty Quantification for Seq2seq Graph Parsing ICLR 2023 On Computable Online Learning ALT 2023 On Data Manifolds Entailed by Structural Causal Models ICML 2023 On Degrees of Freedom in Defining and Testing Natural Language Understanding ACL 2023 On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition CLeaR 2023 On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis RSS 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NeurIPS 2023 One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023 One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training ICCV 2023 One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems ACL 2023 One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks ACL 2023 OneFormer: One Transformer To Rule Universal Image Segmentation CVPR 2023