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
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'25
Papers (including subtopics)
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
NeurIPS 2022
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback
IJCAI 2022
Discrete Representations Strengthen Vision Transformer Robustness
ICLR 2022
Discriminative Adversarial Learning for Speaker Independent Emotion Recognition
Interspeech 2022
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
ICML 2022
Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment
Interspeech 2022
Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks
Interspeech 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
MLHC 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
CVPR 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
ICML 2022
Distance-Based Hyperspherical Classification for Multi-Source Open-Set Domain Adaptation
WACV 2022
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
AAAI 2022
Distillation-Resistant Watermarking for Model Protection in NLP
EMNLP 2022
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection
CVPR 2022
Distilled Dual-Encoder Model for Vision-Language Understanding
EMNLP 2022
Distilling a Pretrained Language Model to a Multilingual ASR Model
Interspeech 2022
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
ICLR 2022
Distilling Inter-Class Distance for Semantic Segmentation
IJCAI 2022
Distilling Multilingual Transformers into CNNs for Scalable Intent Classification
EMNLP 2022
Distilling Representations from GAN Generator via Squeeze and Span
NeurIPS 2022
Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation
EMNLP 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
ACL 2022
Distinguishing rule and exemplar-based generalization in learning systems
ICML 2022
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning
CVPR 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
AAAI 2022