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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)

Computing Abductive Explanations for Boosted Regression Trees IJCAI 2023 Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games NeurIPS 2023 Computing Optimal Nash Equilibria in Multiplayer Games NeurIPS 2023 ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation NeurIPS 2023 Concept-based Explanations for Out-of-Distribution Detectors ICML 2023 Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers ACL 2023 Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue EACL 2023 Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement NeurIPS 2023 ConceptFusion: Open-set multimodal 3D mapping RSS 2023 Concept Gradient: Concept-based Interpretation Without Linear Assumption ICLR 2023 Concept-level Debugging of Part-Prototype Networks ICLR 2023 Conceptor-Aided Debiasing of Large Language Models EMNLP 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Conceptual structure coheres in human cognition but not in large language models EMNLP 2023 ConceptX: A Framework for Latent Concept Analysis AAAI 2023 Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow UAI 2023 Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023 Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation AAAI 2023 Conditional Generation of Audio From Video via Foley Analogies CVPR 2023 Conditional Natural Language Inference EMNLP 2023 CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding ACL 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees ICLR 2023 Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing ACL 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023 Conformal Prediction for Time Series with Modern Hopfield Networks NeurIPS 2023