Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
AAAI 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
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
CVPR 2025
Distributed Conformal Prediction via Message Passing
ICML 2025
Distributed Differentially Private Data Analytics via Secure Sketching
ICML 2025
Distributed Event-Based Learning via ADMM
ICML 2025
Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication
EMNLP 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
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Distributionally Robust Policy Learning under Concept Drifts
ICML 2025
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
IJCAI 2025
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
ICLR 2025
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation
WACV 2025
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
ICML 2025
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
WACV 2025
DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers
ICCV 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning
ICLR 2025
Divergent Domains Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
WACV 2025
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
ICML 2025
Diversified Flow Matching with Translation Identifiability
ICML 2025
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
ACL 2025