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)
Boosting Neural Representations for Videos with a Conditional Decoder
CVPR 2024
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
CVPR 2024
Boosting Residual Networks with Group Knowledge
AAAI 2024
Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models?
EMNLP 2024
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation
CVPR 2024
Boosting Transferability and Discriminability for Time Series Domain Adaptation
NeurIPS 2024
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
ACL 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
CVPR 2024
Bootstrapping SparseFormers from Vision Foundation Models
CVPR 2024
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective
ACL 2024
Boundary Matters: A Bi-Level Active Finetuning Method
NeurIPS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
AISTATS 2024
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
ICLR 2024
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
AAAI 2024
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training
EMNLP 2024
BPKD: Boundary Privileged Knowledge Distillation for Semantic Segmentation
WACV 2024
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
NSDI 2024
Brandeis at VarDial 2024 DSL-ML Shared Task: Multilingual Models, Simple Baselines and Data Augmentation
NAACL 2024
Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation
IJCAI 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
NeurIPS 2024
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances
AISTATS 2024
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
NeurIPS 2024
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models
EMNLP 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NeurIPS 2024
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
ICML 2024