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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)

Gradient-based Intra-attention Pruning on Pre-trained Language Models ACL 2023 Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract) IJCAI 2023 Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Gradient-Free Structured Pruning with Unlabeled Data ICML 2023 Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023 Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models ICCV 2023 Gradually Excavating External Knowledge for Implicit Complex Question Answering EMNLP 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models NeurIPS 2023 GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints NeurIPS 2023 Granger Components Analysis: Unsupervised learning of latent temporal dependencies NeurIPS 2023 GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials RSS 2023 Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation EMNLP 2023 GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph NeurIPS 2023 Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility RSS 2023 Graph Denoising Diffusion for Inverse Protein Folding NeurIPS 2023 Graphically Structured Diffusion Models ICML 2023 Graph Matching with Bi-level Noisy Correspondence ICCV 2023 Graph Reasoning for Question Answering with Triplet Retrieval ACL 2023 Graph Representation for Order-Aware Visual Transformation CVPR 2023 Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus AAAI 2023 Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023 Graph Structure Learning via Lottery Hypothesis at Scale ACML 2023 Graph Switching Dynamical Systems ICML 2023 Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023 Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement ICLR 2023