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)
Pushing the Limits of Fairness in Algorithmic Decision-Making
IJCAI 2023
Putting Natural in Natural Language Processing
ACL 2023
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow
CVPR 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
ICML 2023
QAMPARI: A Benchmark for Open-domain Questions with Many Answers
EMNLP 2023
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
ICML 2023
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism
SemEval 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
ICCV 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
CVPR 2023
Q-Diffusion: Quantizing Diffusion Models
ICCV 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model
NeurIPS 2023
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
CVPR 2023
QLoRA: Efficient Finetuning of Quantized LLMs
NeurIPS 2023
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment
IJCAI 2023
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data
AAAI 2023
Quantifying Harm
IJCAI 2023
Quantifying Memorization Across Neural Language Models
ICLR 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
ICML 2023
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
ICLR 2023
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing
NeurIPS 2023
Quantization-aware and Tensor-compressed Training of Transformers for Natural Language Understanding
Interspeech 2023
Quantized Distributed Training of Large Models with Convergence Guarantees
ICML 2023
Quantized Feature Distillation for Network Quantization
AAAI 2023
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution
NeurIPS 2023
Query-Aware Quantization for Maximum Inner Product Search
AAAI 2023