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)
DiJiang: Efficient Large Language Models through Compact Kernelization
ICML 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation
NAACL 2024
DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer
COLING 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
CVPR 2024
Dimension-free Private Mean Estimation for Anisotropic Distributions
NeurIPS 2024
DIMSIM: Distilled Multilingual Critics for Indic Text Simplification
ACL 2024
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
AAAI 2024
DIOD: Self-Distillation Meets Object Discovery
CVPR 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
NeurIPS 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
CVPR 2024
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models
NeurIPS 2024
Direct Distillation between Different Domains
ECCV 2024
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
ICLR 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
NeurIPS 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
IJCAI 2024
Disagreeable, Slovenly, Honest and Un-named Women? Investigating Gender Bias in English Educational Resources by Extending Existing Gender Bias Taxonomies
ACL 2024
DisCEdit: Model Editing by Identifying Discriminative Components
NeurIPS 2024
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
AAAI 2024
DISCO: Distributed Inference With Sparse Communications
WACV 2024
Discontinuity-preserving Normal Integration with Auxiliary Edges
CVPR 2024
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling
AAAI 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
CVPR 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing
WACV 2024
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations
NAACL 2024