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)
Sieve: Multimodal Dataset Pruning using Image Captioning Models
CVPR 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
AISTATS 2024
Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
ICLR 2024
Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation
NAACL 2024
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
ICML 2024
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
ICML 2024
SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices
NeurIPS 2024
SilentCipher: Deep Audio Watermarking
Interspeech 2024
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
ICLR 2024
SILVER: Single-loop variance reduction and application to federated learning
ICML 2024
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
CVPR 2024
SimA: Simple Softmax-Free Attention for Vision Transformers
WACV 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection
AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
AAAI 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
NeurIPS 2024
Simple and effective data augmentation for compositional generalization
NAACL 2024
Simple and Fast Distillation of Diffusion Models
NeurIPS 2024
Simple Ingredients for Offline Reinforcement Learning
ICML 2024
Simple linear attention language models balance the recall-throughput tradeoff
ICML 2024
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
WACV 2024
Simple Semantic-Aided Few-Shot Learning
CVPR 2024
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
ICML 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
ICML 2024
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
AAAI 2024