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)
Soft Target-Enhanced Matching Framework for Deep Entity Matching
AAAI 2023
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence
AAAI 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
CVPR 2023
Some Voices are Too Common: Building Fair Speech Recognition Systems Using the CommonVoice Dataset
Interspeech 2023
So-to-Speak: An Exploratory Platform for Investigating the Interplay between Style and Prosody in TTS
Interspeech 2023
SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition
Interspeech 2023
Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
CVPR 2023
Source-free Depth for Object Pop-out
ICCV 2023
Source-free Domain Adaptive Human Pose Estimation
ICCV 2023
Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
CVPR 2023
Sources and Information Reliability Measures
IJCAI 2023
Sp1NY: A Quick and Flexible Speech Visualisation Tool in Python
Interspeech 2023
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
NeurIPS 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
ICCV 2023
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
NeurIPS 2023
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
ICML 2023
Sparse Low-rank Adaptation of Pre-trained Language Models
EMNLP 2023
Sparse Mixture-of-Experts are Domain Generalizable Learners
ICLR 2023
Sparse Modular Activation for Efficient Sequence Modeling
NeurIPS 2023
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
ICLR 2023
Sparse Parameterization for Epitomic Dataset Distillation
NeurIPS 2023
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
NeurIPS 2023
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge
ICML 2023
Sparse Random Networks for Communication-Efficient Federated Learning
ICLR 2023
Sparse Token Transformer with Attention Back Tracking
ICLR 2023