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)
Dynamic Evaluation of Large Language Models by Meta Probing Agents
ICML 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
CVPR 2024
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
ICML 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
NeurIPS 2024
Dynamic Sparse Training with Structured Sparsity
ICLR 2024
Dynamic Token-Pass Transformers for Semantic Segmentation
WACV 2024
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
NeurIPS 2024
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling
NAACL 2024
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
ICLR 2024
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training
ECCV 2024
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
ICML 2024
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation
NeurIPS 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models
ACL 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
IJCAI 2024
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
EMNLP 2024
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
NeurIPS 2024
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
ICML 2024
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
AAAI 2024
Early Time Classification with Accumulated Accuracy Gap Control
ICML 2024
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
ACL 2024
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
IJCAI 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
EMNLP 2024
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
EMNLP 2024
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
AAAI 2024