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
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'25
Papers (including subtopics)
ROUGE-K: Do Your Summaries Have Keywords?
NAACL 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
NeurIPS 2024
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
NAACL 2024
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning
CoRL 2024
RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
EMNLP 2024
RRL: Recommendation Reverse Learning
AAAI 2024
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
NAACL 2024
RT-H: Action Hierarchies using Language
RSS 2024
RT-LA-VocE: Real-Time Low-SNR Audio-Visual Speech Enhancement
Interspeech 2024
RuBia: A Russian Language Bias Detection Dataset
COLING 2024
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin
ACL 2024
RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation
AAAI 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
NeurIPS 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
NeurIPS 2024
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
ICML 2024
SA²VP: Spatially Aligned-and-Adapted Visual Prompt
AAAI 2024
Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs
OSDI 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data
AISTATS 2024
Safe and Robust Watermark Injection with a Single OoD Image
ICLR 2024
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
AAAI 2024
Safe Collaborative Filtering
ICLR 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
IJCAI 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
NeurIPS 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
EMNLP 2024
Safety through feedback in Constrained RL
NeurIPS 2024