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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)

Decision Trees with Short Explainable Rules NeurIPS 2022 Declaration-based Prompt Tuning for Visual Question Answering IJCAI 2022 Decoding Part-of-Speech from Human EEG Signals ACL 2022 Decomposed Meta-Learning for Few-Shot Named Entity Recognition ACL 2022 Decomposing Natural Logic Inferences for Neural NLI EMNLP 2022 Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning ICML 2022 Deconfounded Visual Grounding AAAI 2022 Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts EMNLP 2022 Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction AAAI 2022 Deconstructing destruction: A Cognitive Linguistics perspective on a computational analysis of diachronic change ACL 2022 Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications NAACL 2022 Deconstructing the Inductive Biases of Hamiltonian Neural Networks ICLR 2022 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 Decoupled Adaptation for Cross-Domain Object Detection ICLR 2022 Decoupled Context Processing for Context Augmented Language Modeling NeurIPS 2022 Decoupling and Recoupling Spatiotemporal Representation for RGB-D-Based Motion Recognition CVPR 2022 Decoupling Local and Global Representations of Time Series AISTATS 2022 Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts COLING 2022 DeeCap: Dynamic Early Exiting for Efficient Image Captioning CVPR 2022 DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models NAACL 2022 Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NeurIPS 2022 DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding AAAI 2022 Deep AutoAugment ICLR 2022 Deep Causal Metric Learning ICML 2022 Deep CNN-based Inductive Transfer Learning for Sarcasm Detection in Speech Interspeech 2022