Skip to content
conftrace_

Application Areas

34,437 papers (4 classified directly here)

1
4
35
147
2,498
7,176
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