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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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'25

Papers (including subtopics)

Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs NAACL 2022 Towards Real-World Navigation With Deep Differentiable Planners CVPR 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 Towards Return Parity in Markov Decision Processes AISTATS 2022 Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective CVPR 2022 Towards Robust Blind Face Restoration with Codebook Lookup Transformer NeurIPS 2022 Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation ACL 2022 Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts EMNLP 2022 Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio IJCAI 2022 Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022 Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk IJCAI 2022 Towards Safe Reinforcement Learning with a Safety Editor Policy NeurIPS 2022 Towards Stronger Adversarial Baselines Through Human-AI Collaboration ACL 2022 Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders COLING 2022 Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement EMNLP 2022 Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction IJCAI 2022 Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition AAAI 2022 Towards Tracing Knowledge in Language Models Back to the Training Data EMNLP 2022 Towards Transferable Adversarial Attacks on Vision Transformers AAAI 2022 Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction ACL 2022 Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning NeurIPS 2022 Towards Understanding Adversarial Robustness of Optical Flow Networks CVPR 2022 Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language Models NAACL 2022 Towards Understanding the Relation between Gestures and Language COLING 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022