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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)

Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NeurIPS 2021 Learning Triadic Belief Dynamics in Nonverbal Communication From Videos CVPR 2021 Learning Value Functions in Deep Policy Gradients using Residual Variance ICLR 2021 Learning View Selection for 3D Scenes CVPR 2021 Learning Visually Guided Latent Actions for Assistive Teleoperation L4DC 2021 Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Learning What To Do by Simulating the Past ICLR 2021 Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021 Learning with Algorithmic Supervision via Continuous Relaxations NeurIPS 2021 Learning with Holographic Reduced Representations NeurIPS 2021 Learning with Noisy Correspondence for Cross-modal Matching NeurIPS 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs AAAI 2021 Learning with Selective Forgetting IJCAI 2021 Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training CoNLL 2021 Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021 Learn-To-Race: A Multimodal Control Environment for Autonomous Racing ICCV 2021 Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events CoRL 2021 LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing ACL 2021 LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory L4DC 2021 LEO: Learning Energy-based Models in Factor Graph Optimization CoRL 2021 Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension EMNLP 2021 LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching AAAI 2021