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)
On Mitigating Acoustic Feedback in Hearing Aids with Frequency Warping by All-Pass Networks
Interspeech 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NeurIPS 2019
On Privacy Protection of Latent Dirichlet Allocation Model Training
IJCAI 2019
On Relating Explanations and Adversarial Examples
NeurIPS 2019
On Robustness of Unsupervised Domain Adaptation for Speaker Recognition
Interspeech 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
ICML 2019
On Single Source Robustness in Deep Fusion Models
NeurIPS 2019
On Sparse Linear Regression in the Local Differential Privacy Model
ICML 2019
On Strategyproof Conference Peer Review
IJCAI 2019
On Target Shift in Adversarial Domain Adaptation
AISTATS 2019
On the Accuracy of Influence Functions for Measuring Group Effects
NeurIPS 2019
On the Downstream Performance of Compressed Word Embeddings
NeurIPS 2019
On the Effectiveness of Low Frequency Perturbations
IJCAI 2019
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
EMNLP 2019
On the Efficacy of Knowledge Distillation
ICCV 2019
On the Fairness of Disentangled Representations
NeurIPS 2019
On the Importance of Delexicalization for Fact Verification
EMNLP 2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
ICML 2019
On the Robustness of Self-Attentive Models
ACL 2019
On the Role of Style in Parsing Speech with Neural Models
Interspeech 2019
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
ICLR 2019
On the Utility of Learning about Humans for Human-AI Coordination
NeurIPS 2019
On Tractable Computation of Expected Predictions
NeurIPS 2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling
EMNLP 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning?
COLT 2019