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)
On the Privacy of Selection Mechanisms with Gaussian Noise
AISTATS 2024
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving
CVPR 2024
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
CVPR 2024
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
AAAI 2024
On the Robustness of Neural Models for Full Sentence Transformation
NAACL 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
ACL 2024
On the social bias of speech self-supervised models
Interspeech 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers
NeurIPS 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
AISTATS 2024
On the Way to Lossless Compression of Language Transformers: Exploring Cross-Domain Properties of Quantization
COLING 2024
On the Worst Prompt Performance of Large Language Models
NeurIPS 2024
On Train-Test Class Overlap and Detection for Image Retrieval
CVPR 2024
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
AAAI 2024
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
ICML 2024
OOD Aware Supervised Contrastive Learning
WACV 2024
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
ICML 2024
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
ACL 2024
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
CVPR 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization
JMLR 2024
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
ICLR 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
NeurIPS 2024
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
ICML 2024
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy
COLT 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
COLT 2024
Open-Set Domain Adaptation for Semantic Segmentation
CVPR 2024