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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)

Conformal Contextual Robust Optimization AISTATS 2024 Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance AAAI 2024 Conformalized Credal Set Predictors NeurIPS 2024 Conformalized Multiple Testing after Data-dependent Selection NeurIPS 2024 Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions RSS 2024 Conformal Language Modeling ICLR 2024 Conformal Prediction for Semantically-Aware Autonomous Perception in Urban Environments CoRL 2024 Conformal Prediction Sets Improve Human Decision Making ICML 2024 Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them) ICML 2024 Confounded Budgeted Causal Bandits CLeaR 2024 Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3) CVPR 2024 Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications NAACL 2024 Confronting Reward Model Overoptimization with Constrained RLHF ICLR 2024 ConfTrack: Kalman Filter-Based Multi-Person Tracking by Utilizing Confidence Score of Detection Box WACV 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum AAAI 2024 ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings ACL 2024 Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NeurIPS 2024 CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English COLING 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs NeurIPS 2024 Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers ICLR 2024 Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models ICML 2024 Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game EMNLP 2024 Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data NeurIPS 2024 CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants NAACL 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ICLR 2024