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
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'25
Papers (including subtopics)
Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding
Interspeech 2023
Sequence Parallelism: Long Sequence Training from System Perspective
ACL 2023
Sequential Subset Matching for Dataset Distillation
NeurIPS 2023
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction
ACL 2023
ServiceRouter: Hyperscale and Minimal Cost Service Mesh at Meta
OSDI 2023
Serving Graph Compression for Graph Neural Networks
ICLR 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
NeurIPS 2023
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features
Interspeech 2023
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis
ICCV 2023
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
IJCAI 2023
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
MIDL 2023
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization
Interspeech 2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation
ICCV 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
NeurIPS 2023
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
ICCV 2023
Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification
CVPR 2023
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
ICML 2023
Shapley Based Residual Decomposition for Instance Analysis
ICML 2023
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks
EMNLP 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
ICLR 2023
Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding
ACL 2023
Sharpness-Aware Gradient Matching for Domain Generalization
CVPR 2023
SHEPHERD: Serving DNNs in the Wild
NSDI 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
ACL 2023
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
NeurIPS 2023