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)
Unbounded Differentially Private Quantile and Maximum Estimation
NeurIPS 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
NeurIPS 2023
Uncovering Adversarial Risks of Test-Time Adaptation
ICML 2023
Uncovering and Categorizing Social Biases in Text-to-SQL
ACL 2023
Uncovering and Quantifying Social Biases in Code Generation
NeurIPS 2023
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
NeurIPS 2023
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
CVPR 2023
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
CVPR 2023
Understanding and Improving Ensemble Adversarial Defense
NeurIPS 2023
Understanding and Improving Feature Learning for Out-of-Distribution Generalization
NeurIPS 2023
Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection
EMNLP 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions
NeurIPS 2023
Understanding Differential Search Index for Text Retrieval
ACL 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
NeurIPS 2023
Understanding Hessian Alignment for Domain Generalization
ICCV 2023
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases
ICML 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
NeurIPS 2023
Understanding new tasks through the lens of training data via exponential tilting
ICLR 2023
Understanding Programs by Exploiting (Fuzzing) Test Cases
ACL 2023
Understanding RDMA Microarchitecture Resources for Performance Isolation
NSDI 2023
Understanding the detrimental class-level effects of data augmentation
NeurIPS 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
ICML 2023
Understanding the Effect of Model Compression on Social Bias in Large Language Models
EMNLP 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity
ICML 2023
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study
WACV 2023