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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)

Decoupled Attention Network for Text Recognition AAAI 2020 Decoupled Representation Learning for Skeleton-Based Gesture Recognition CVPR 2020 Deductive Module Extraction for Expressive Description Logics IJCAI 2020 Deep 3D Portrait From a Single Image CVPR 2020 Deep active inference agents using Monte-Carlo methods NeurIPS 2020 DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards AAAI 2020 Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations EMNLP 2020 Deep Bayesian Network for Visual Question Generation WACV 2020 Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior AAAI 2020 Deep Camouflage Images AAAI 2020 DeepCoDA: personalized interpretability for compositional health data ICML 2020 Deep Conservative Policy Iteration AAAI 2020 Deep Differentiable Grasp Planner for High-DOF Grippers RSS 2020 Deep Direct Likelihood Knockoffs NeurIPS 2020 Deep Drone Acrobatics RSS 2020 DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction Using Aerial Images and Trajectories AAAI 2020 DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection CVPR 2020 Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation AAAI 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 Deep Imitation Learning for Bimanual Robotic Manipulation NeurIPS 2020 Deep Imitative Models for Flexible Inference, Planning, and Control ICLR 2020 Deep Inverse Q-learning with Constraints NeurIPS 2020 Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts MLHC 2020 Deep Learning—Powered Iterative Combinatorial Auctions AAAI 2020 Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective EMNLP 2020