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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020 DeepMPCVS: Deep Model Predictive Control for Visual Servoing CoRL 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Deep neuroethology of a virtual rodent ICLR 2020 Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions ICML 2020 DeepPTZ: Deep Self-Calibration for PTZ Cameras WACV 2020 Deep Reactive Planning in Dynamic Environments CoRL 2020 Deep Reinforcement Learning for Active Human Pose Estimation AAAI 2020 Deep Reinforcement Learning for Closed-Loop Blood Glucose Control MLHC 2020 Deep Reinforcement Learning for General Game Playing AAAI 2020 Deep Reinforcement Learning for Organ Localization in CT MIDL 2020 Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection CVPR 2020 Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery WACV 2020 Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020 Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing AAAI 2020 Deepstrip: High-Resolution Boundary Refinement CVPR 2020 Deep Structural Causal Models for Tractable Counterfactual Inference NeurIPS 2020 Deep Template Matching for Small-Footprint and Configurable Keyword Spotting Interspeech 2020 Deep Transformers with Latent Depth NeurIPS 2020 Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image RSS 2020 Defending Against Model Stealing Attacks With Adaptive Misinformation CVPR 2020 Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 Defending with Shared Resources on a Network AAAI 2020