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
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'25
Papers (including subtopics)
SBCFormer: Lightweight Network Capable of Full-Size ImageNet Classification at 1 FPS on Single Board Computers
WACV 2024
Scalable Algorithms for Individual Preference Stable Clustering
AISTATS 2024
Scalable and Domain-General Abstractive Proposition Segmentation
EMNLP 2024
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
NeurIPS 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
EMNLP 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling
NeurIPS 2024
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
EMNLP 2024
Scalable Federated Unlearning via Isolated and Coded Sharding
IJCAI 2024
Scalable Higher-Order Tensor Product Spline Models
AISTATS 2024
Scalable Motion Style Transfer with Constrained Diffusion Generation
AAAI 2024
SCaLAR at SemEval-2024 Task 8: Unmasking the machine : Exploring the power of RoBERTa Ensemble for Detecting Machine Generated Text
SemEval 2024
Scalar Function Topology Divergence: Comparing Topology of 3D Objects
ECCV 2024
Scaled Decoupled Distillation
CVPR 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
NeurIPS 2024
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
EMNLP 2024
SCALE: Synergized Collaboration of Asymmetric Language Translation Engines
ACL 2024
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
AAAI 2024
Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training
ICML 2024
Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
COLING 2024
Scaling Down Deep Learning with MNIST-1D
ICML 2024
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws
EMNLP 2024
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
ICLR 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
CVPR 2024
Scaling Laws for Fine-Grained Mixture of Experts
ICML 2024