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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)

Adversarial Attacks on Linear Contextual Bandits NeurIPS 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System NeurIPS 2020 Adversarial Example Games NeurIPS 2020 Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments AAAI 2020 Adversarial Learning for 3D Matching UAI 2020 Adversarially Robust Distillation AAAI 2020 Adversarially Robust Representations with Smooth Encoders ICLR 2020 Adversarially Robust Streaming Algorithms via Differential Privacy NeurIPS 2020 Adversarially robust transfer learning ICLR 2020 Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020 Adversarial Nonnegative Matrix Factorization ICML 2020 Adversarial Policies: Attacking Deep Reinforcement Learning ICLR 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020 Adversarial Robustness for Code ICML 2020 Adversarial robustness via robust low rank representations NeurIPS 2020 Adversarial Semantic Collisions EMNLP 2020 Adversarial Separation Network for Speaker Recognition Interspeech 2020 Adversarial Training and Provable Defenses: Bridging the Gap ICLR 2020 Adversarial Training for Commonsense Inference ACL 2020 Adversarial Transformations for Semi-Supervised Learning AAAI 2020 Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020 Adversarial Weight Perturbation Helps Robust Generalization NeurIPS 2020 Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks AAAI 2020 Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules COLING 2020 Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules CVPR 2020