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)
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
EMNLP 2024
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
NeurIPS 2024
Influencer Backdoor Attack on Semantic Segmentation
ICLR 2024
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
ICLR 2024
InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment
COLING 2024
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
ICML 2024
Information Bottleneck Based Data Correction in Continual Learning
ECCV 2024
Information Extraction for Planning Court Cases
EMNLP 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
EMNLP 2024
Initializing Models with Larger Ones
ICLR 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024
INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation
COLING 2024
Input-gradient space particle inference for neural network ensembles
ICLR 2024
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark
NeurIPS 2024
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
EMNLP 2024
InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem
EMNLP 2024
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
ICLR 2024
Instance-Aware Group Quantization for Vision Transformers
CVPR 2024
Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation
CVPR 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance
NeurIPS 2024
Instance-Specific Asymmetric Sensitivity in Differential Privacy
NeurIPS 2024
Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)
AAAI 2024
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
ICLR 2024
InstructDET: Diversifying Referring Object Detection with Generalized Instructions
ICLR 2024
Instruction Tuning for Secure Code Generation
ICML 2024