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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)

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NeurIPS 2023 One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning ACL 2023 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text WACV 2023 One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023 One-shot Implicit Animatable Avatars with Model-based Priors ICCV 2023 One-Shot Model for Mixed-Precision Quantization CVPR 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models NeurIPS 2023 On Event Individuation for Document-Level Information Extraction EMNLP 2023 One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023 One Wide Feedforward Is All You Need EMNLP 2023 On Explaining Neural Network Robustness with Activation Path ICLR 2023 On Generalized Degree Fairness in Graph Neural Networks AAAI 2023 On General Language Understanding EMNLP 2023 On Grounded Planning for Embodied Tasks with Language Models AAAI 2023 On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs ICML 2023 On Imitation in Mean-field Games NeurIPS 2023 On Improving Summarization Factual Consistency from Natural Language Feedback ACL 2023 Online Adaptive Temporal Memory With Certainty Estimation for Human Trajectory Prediction WACV 2023 Online Ad Procurement in Non-stationary Autobidding Worlds NeurIPS 2023 Online Corrupted User Detection and Regret Minimization NeurIPS 2023 Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning AISTATS 2023 Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization NeurIPS 2023 Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023 Online Learning for Obstacle Avoidance CoRL 2023