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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)

Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach RSS 2023 Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023 Indirectly Supervised Natural Language Processing ACL 2023 Individualized Dosing Dynamics via Neural Eigen Decomposition NeurIPS 2023 Individual Privacy Accounting with Gaussian Differential Privacy ICLR 2023 Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training ACL 2023 Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information EMNLP 2023 Inference for a Large Directed Acyclic Graph with Unspecified Interventions JMLR 2023 Inference of a rumor’s source in the independent cascade model UAI 2023 Inference on Strongly Identified Functionals of Weakly Identified Functions COLT 2023 Inference-Time Intervention: Eliciting Truthful Answers from a Language Model NeurIPS 2023 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering AAAI 2023 Inferring Patient Zero on Temporal Networks via Graph Neural Networks AAAI 2023 Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining IJCAI 2023 Inferring Relational Potentials in Interacting Systems ICML 2023 Infinite Photorealistic Worlds Using Procedural Generation CVPR 2023 Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate Interspeech 2023 InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation EMNLP 2023 InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation ACL 2023 InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NeurIPS 2023 Information Design in Multi-Agent Reinforcement Learning NeurIPS 2023 Information Extraction from Legal Wills: How Well Does GPT-4 Do? EMNLP 2023 Information-guided Planning: An Online Approach for Partially Observable Problems NeurIPS 2023 Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI NeurIPS 2023