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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)

A Theory of Usable Information under Computational Constraints ICLR 2020 A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games AISTATS 2020 A Tight Lower Bound and Efficient Reduction for Swap Regret NeurIPS 2020 A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media EMNLP 2020 AtLoc: Attention Guided Camera Localization AAAI 2020 A Topology Layer for Machine Learning AISTATS 2020 A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis ACL 2020 A Tree-Structured Decoder for Image-to-Markup Generation ICML 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020 Attack to Explain Deep Representation CVPR 2020 AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control NeurIPS 2020 Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes CoRL 2020 Attention-Based Context Aware Reasoning for Situation Recognition CVPR 2020 Attention Flow: End-to-End Joint Attention Estimation WACV 2020 Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation NeurIPS 2020 Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems AAAI 2020 Attention is Not Only a Weight: Analyzing Transformers with Vector Norms EMNLP 2020 Attention-over-Attention Field-Aware Factorization Machine AAAI 2020 Attention-Privileged Reinforcement Learning CoRL 2020 Attentive Adversarial Network for Large-Scale Sleep Staging MLHC 2020 Attentively Embracing Noise for Robust Latent Representation in BERT COLING 2020 Attentive Pooling with Learnable Norms for Text Representation ACL 2020 Attentive User-Engaged Adversarial Neural Network for Community Question Answering AAAI 2020 Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding Interspeech 2020