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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)

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable EMNLP 2021 Decomposition-Guided Reductions for Argumentation and Treewidth IJCAI 2021 De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021 Decoupled Dynamic Filter Networks CVPR 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021 Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination AAAI 2021 Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design ICML 2021 DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021 DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods SemEval 2021 DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction WACV 2021 Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems AAAI 2021 Deep Drone Acrobatics (Extended Abstract) IJCAI 2021 Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects ICCV 2021 Deep Extended Hazard Models for Survival Analysis NeurIPS 2021 Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification AAAI 2021 Deep Graph Matching Under Quadratic Constraint CVPR 2021 Deep Learning meets Projective Clustering ICLR 2021 Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis NeurIPS 2021 Deep Metric Learning for Open World Semantic Segmentation ICCV 2021 Deep Multi-Task Learning for Joint Localization, Perception, and Prediction CVPR 2021 Deep Mutual Information Maximin for Cross-Modal Clustering AAAI 2021 Deep Neural Network Fingerprinting by Conferrable Adversarial Examples ICLR 2021 Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond AISTATS 2021 Deep Open Intent Classification with Adaptive Decision Boundary AAAI 2021 DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation WACV 2021