Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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10
16
4
22
142
170
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174
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299
478
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688
1,389
2,431
4,106
5,263
6,557
7,659
9,959
14,521
18,823
8,763
2000
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Papers (including subtopics)
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
ICCV 2025
Distillation of Diffusion Features for Semantic Correspondence
WACV 2025
Distillation Scaling Laws
ICML 2025
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
ICCV 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
CVPR 2025
Distilling an End-to-End Voice Assistant Without Instruction Training Data
ACL 2025
Distilling A Universal Expert from Clustered Federated Learning
IJCAI 2025
Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey
RSS 2025
Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding
EMNLP 2025
Distilling Multi-modal Large Language Models for Autonomous Driving
CVPR 2025
Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
CoRL 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
ICLR 2025
Distilling Rule-based Knowledge into Large Language Models
COLING 2025
Distilling the Knowledge in Data Pruning
ICML 2025
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
ICML 2025
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
EMNLP 2025
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
ACL 2025
DisTime: Distribution-based Time Representation for Video Large Language Models
ICCV 2025
DistinctAD: Distinctive Audio Description Generation in Contexts
CVPR 2025
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
NAACL 2025
Distraction is All You Need for Multimodal Large Language Model Jailbreaking
CVPR 2025
Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning
ICML 2025
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
ICLR 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis
JMLR 2025
Distributional Adversarial Loss
AISTATS 2025