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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
'5
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'25

Papers (including subtopics)

LayoutPrompter: Awaken the Design Ability of Large Language Models NeurIPS 2023 Layout Representation Learning with Spatial and Structural Hierarchies AAAI 2023 Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 2023 L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors NeurIPS 2023 LCS: Learning Compressible Subspaces for Efficient, Adaptive, Real-Time Network Compression at Inference Time WACV 2023 LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings NeurIPS 2023 LDL: Line Distance Functions for Panoramic Localization ICCV 2023 LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement EMNLP 2023 LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions ICCV 2023 LEACE: Perfect linear concept erasure in closed form NeurIPS 2023 LeanDojo: Theorem Proving with Retrieval-Augmented Language Models NeurIPS 2023 Leapfrog Diffusion Model for Stochastic Trajectory Prediction CVPR 2023 Learnable Human Mesh Triangulation for 3D Human Pose and Shape Estimation WACV 2023 Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions AAAI 2023 Learn and Sample Together: Collaborative Generation for Graphic Design Layout IJCAI 2023 Learned Compressive Representations for Single-Photon 3D Imaging ICCV 2023 Learned Index with Dynamic ε ICLR 2023 Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation EMNLP 2023 Learning 3D Scene Priors With 2D Supervision CVPR 2023 Learning About Progress From Experts ICLR 2023 Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward ICLR 2023 Learning Action Changes by Measuring Verb-Adverb Textual Relationships CVPR 2023 Learning Action Conditions from Instructional Manuals for Instruction Understanding ACL 2023 Learning Adaptive Game Soundtrack Control AAAI 2023 Learning Adaptive Neighborhoods for Graph Neural Networks ICCV 2023