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)
On Evaluation Protocols for Data Augmentation in a Limited Data Scenario
COLING 2025
One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering
WACV 2025
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models
CVPR 2025
On Exact Bit-level Reversible Transformers Without Changing Architecture
ICML 2025
On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process
WACV 2025
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
ICML 2025
On Generalization across Measurement Systems: LLMs Entail More Test-Time Compute for Underrepresented Cultures
ACL 2025
On Large Language Model Continual Unlearning
ICLR 2025
Online Pre-Training for Offline-to-Online Reinforcement Learning
ICML 2025
Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
CVPR 2025
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
ACL 2025
On Multilingual Encoder Language Model Compression for Low-Resource Languages
IJCNLP 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning
AAAI 2025
On Pruning State-Space LLMs
EMNLP 2025
On Synthesizing Data for Context Attribution in Question Answering
ACL 2025
On Synthetic Data Strategies for Domain-Specific Generative Retrieval
ACL 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
ICLR 2025
On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models
NAACL 2025
On the Benefits of Attribute-Driven Graph Domain Adaptation
ICLR 2025
On the Byzantine-Resilience of Distillation-Based Federated Learning
ICLR 2025
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
ICML 2025
On the Generalization of Handwritten Text Recognition Models
CVPR 2025
On the Generalization vs Fidelity Paradox in Knowledge Distillation
ACL 2025
On the Impact of Noise in Differentially Private Text Rewriting
NAACL 2025