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
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'25
Papers (including subtopics)
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
ICML 2022
FilipN@LT-EDI-ACL2022-Detecting signs of Depression from Social Media: Examining the use of summarization methods as data augmentation for text classification
ACL 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
NeurIPS 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
EMNLP 2022
Findings of the WMT 2022 Shared Task on Efficient Translation
EMNLP 2022
Findings of the Word-Level AutoCompletion Shared Task in WMT 2022
EMNLP 2022
Finding the Dominant Winning Ticket in Pre-Trained Language Models
ACL 2022
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
ICML 2022
Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT
ACL 2022
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
EMNLP 2022
Fine-Grained Object Classification via Self-Supervised Pose Alignment
CVPR 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
ICLR 2022
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
CVPR 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
NeurIPS 2022
Fine-tuning language models to find agreement among humans with diverse preferences
NeurIPS 2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NeurIPS 2022
Fine-tuning Transformers with Additional Context to Classify Discursive Moves in Mathematics Classrooms
NAACL 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
CVPR 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
AISTATS 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
ICML 2022
First is Better Than Last for Language Data Influence
NeurIPS 2022
First the Worst: Finding Better Gender Translations During Beam Search
ACL 2022
Fisher Information Guidance for Learned Time-of-Flight Imaging
CVPR 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
ICML 2022
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
ICML 2022