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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)

Explaining Temporal Graph Models through an Explorer-Navigator Framework ICLR 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023 Explaining the Uncertainty in AI-Assisted Decision Making AAAI 2023 Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences EMNLP 2023 ExplainMeetSum: A Dataset for Explainable Meeting Summarization Aligned with Human Intent ACL 2023 Explanation-based Finetuning Makes Models More Robust to Spurious Cues ACL 2023 Explanation-Guided Reward Alignment IJCAI 2023 Explanation Regeneration via Information Bottleneck ACL 2023 Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting EMNLP 2023 Explicit Intensity Control for Accented Text-to-speech Interspeech 2023 Explicit Planning Helps Language Models in Logical Reasoning EMNLP 2023 Explicit Visual Prompting for Low-Level Structure Segmentations CVPR 2023 Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation AAAI 2023 Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model ACL 2023 Exploiting Commonsense Knowledge about Objects for Visual Activity Recognition ACL 2023 Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models NeurIPS 2023 Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction EMNLP 2023 Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023 Exploiting Emotion-Semantic Correlations for Empathetic Response Generation EMNLP 2023 Exploiting hidden structures in non-convex games for convergence to Nash equilibrium NeurIPS 2023 Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition ACL 2023 Exploiting Knowledge about Discourse Relations for Implicit Discourse Relation Classification ACL 2023 Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023 Exploiting Proximity-Aware Tasks for Embodied Social Navigation ICCV 2023 Exploiting Visual Context Semantics for Sound Source Localization WACV 2023