Application Areas

Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Provable Defense Against Geometric Transformations ICLR 2023 Provable Detection of Propagating Sampling Bias in Prediction Models AAAI 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023 Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior NeurIPS 2023 Provable Robustness against Wasserstein Distribution Shifts via Input Randomization ICLR 2023 Provably Invariant Learning without Domain Information ICML 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023 Providing Interpretable Insights for Neurological Speech and Cognitive Disorders from Interactive Serious Games Interspeech 2023 Proximity-Informed Calibration for Deep Neural Networks NeurIPS 2023 PruMUX: Augmenting Data Multiplexing with Model Compression ACL 2023 Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023 Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Pruning vs Quantization: Which is Better? NeurIPS 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023 Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition EMNLP 2023 Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers ACL 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NeurIPS 2023 PTQD: Accurate Post-Training Quantization for Diffusion Models NeurIPS 2023 PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning NeurIPS 2023 PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023 PunCantonese: A Benchmark Corpus for Low-Resource Cantonese Punctuation Restoration from Speech Transcripts Interspeech 2023 Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023 Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023