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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)

Generalizable Pedestrian Detection: The Elephant in the Room CVPR 2021 Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021 Generalization bounds via distillation ICLR 2021 Generalization in Instruction Following Systems NAACL 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Generalized Linear Bandits with Local Differential Privacy NeurIPS 2021 Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline WACV 2021 Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem COLT 2021 Generalizing Gaze Estimation With Outlier-Guided Collaborative Adaptation ICCV 2021 Generalizing to the Open World: Deep Visual Odometry With Online Adaptation CVPR 2021 General Policies, Representations, and Planning Width AAAI 2021 Generating Adversarial Disturbances for Controller Verification L4DC 2021 Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract) AAAI 2021 Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming NAACL 2021 Generating Attribution Maps With Disentangled Masked Backpropagation ICCV 2021 Generating CCG Categories AAAI 2021 Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021 Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection AAAI 2021 Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains ICLR 2021 Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NeurIPS 2021 Generating Hypothetical Events for Abductive Inference ACL 2021 Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021 Generating Natural Language Attacks in a Hard Label Black Box Setting AAAI 2021 Generating Realistic Natural Language Counterfactuals EMNLP 2021 Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing CoRL 2021