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)
Learning the Electronic Hamiltonian of Large Atomic Structures
ICML 2025
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
ICML 2025
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
ICML 2025
Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition
EMNLP 2025
Learning to engineer protein flexibility
ICLR 2025
Learning to Filter Outlier Edges in Global SfM
CVPR 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
ICML 2025
Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval
AAAI 2025
Learning to Help in Multi-Class Settings
ICLR 2025
Learning to Inference Adaptively for Multimodal Large Language Models
ICCV 2025
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
ICML 2025
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
ICML 2025
Learning to Quantize for Training Vector-Quantized Networks
ICML 2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
COLING 2025
Learning to Reuse Policies in State Evolvable Environments
ICML 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
NAACL 2025
Learning Transition Patterns by Large Language Models for Sequential Recommendation
COLING 2025
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
WACV 2025
Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models
EMNLP 2025
Learning with Exact Invariances in Polynomial Time
ICML 2025
Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
NAACL 2025
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
AAAI 2025
Learning without Isolation: Pathway Protection for Continual Learning
ICML 2025