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)
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
AAAI 2024
Risk Management in Image Generative Models through Model Fingerprinting
AAAI 2024
Risk Measures and Upper Probabilities: Coherence and Stratification
JMLR 2024
Risk-Sensitive Online Algorithms (Extended Abstract)
COLT 2024
RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment
IJCAI 2024
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
NeurIPS 2024
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
EMNLP 2024
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
JMLR 2024
RMIB: Representation Matching Information Bottleneck for Matching Text Representations
ICML 2024
RMT: Retentive Networks Meet Vision Transformers
CVPR 2024
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2vec2.0 Based ASR
Interspeech 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
NeurIPS 2024
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
IJCAI 2024
Robust ASR Error Correction with Conservative Data Filtering
EMNLP 2024
Robust Category-Level 3D Pose Estimation From Diffusion-Enhanced Synthetic Data
WACV 2024
Robust Conformal Prediction Using Privileged Information
NeurIPS 2024
Robust Counterfactual Explanations in Machine Learning: A Survey
IJCAI 2024
Robust Data-driven Prescriptiveness Optimization
ICML 2024
Robust Depth Enhancement via Polarization Prompt Fusion Tuning
CVPR 2024
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
CVPR 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract)
COLT 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
NeurIPS 2024
Robust Graph Neural Networks via Unbiased Aggregation
NeurIPS 2024
Robustifying and Boosting Training-Free Neural Architecture Search
ICLR 2024
Robust Laughter Segmentation with Automatic Diverse Data Synthesis
Interspeech 2024