Two papers were accepted to ECCV 2024
We have two papers "CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation" and "TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias" accepted to ECCV 2024.
One paper was accepted to ICML 2024
We have one paper "PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency" accepted to ICML 2024.
One paper was accepted to CVPR 2024
We have one paper "Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images" accepted to CVPR 2024.
Two papers were accepted to ICLR 2024
We have two papers "Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication" and "TEDDY: Trimming Edges with Degree-based Graph Discrimination strategY" accepted to ICLR 2024.
Two papers were accepted to NeurIPS 2023
We have two papers "GEX: A flexible method for approximating influence via Geometric Ensemble" and "Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds" accepted to NeurIPS 2023.
One paper was accepted to ICCV 2023
We have one paper "PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo Label" accepted to ICCV 2023.
Two papers were accepted to INTERSPEECH 2023
We have two papers "SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization" and "ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models" accepted to INTERSPEECH 2023.
Two papers were accepted to ICML 2023
We have two papers "Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation" and "RGE: A Repulsive Graph Rectification for Node Classification via Influence" accepted to ICML 2023.
Two papers were accepted to CVPR 2023
We have two papers "Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding" and "BiasAdv: Bias-Adversarial Augmentation for Model Debiasing" accepted to CVPR 2023.
One paper was accepted to ICASSP 2023
We have one paper "WeavSpeech: Data Augmentation Strategy for Automatic Speech Recognition via Semantic-Aware Weaving" was accepted to ICASSP 2023.
Two papers were accepted to ICLR 2023
Two papers "Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel" and "Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance" were accepted to ICLR 2023.
Two papers were accepted to ICML 2022
We have two papers "TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification" and "Set Based Stochastic Subsampling" accepted to ICML 2022.
One paper was accepted to NAACL 2022
We have one paper "Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods" accepted to NAACL 2022.
Four papers were accepted to ICLR 2022
We have four papers "Model-augmented Prioritized Experience Replay", "Online Hyperparameter Meta-Learning with Hypergradient Distillation", "Online Coreset Selection for Rehearsal-based Continual Learning", and "GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification" accepted to ICLR 2022.
One paper was accepted to AISTATS 2022
We have one paper "AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning" accepted to AISTATS 2022.
Two papers were accepted to AAAI 2022
We have two papers "Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing" and "Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation" accepted to AAAI 2022.
Two papers were accepted to NeurIPS 2021
We have two papers "Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning" and "Adaptive Proximal Gradient Methods for Structured Neural Networks" accepted to NeurIPS 2021.
One paper was accepted to EMNLP 2021
We have one paper "Distilling Linguistic Context for Language Model Compression" accepted to EMNLP 2021.
One paper was accepted to ICCV 2021
We have one paper "Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss" accepted to ICCV 2021.
One paper was accepted to INTERSPEECH 2021
We have one paper "Multi-domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models" accepted to INTERSPEECH 2021.
Two papers were accepted to ICML 2021
We have two papers "Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation" and "Federated Continual Learning with Weighted Inter-client Transfer" accepted to ICML 2021.
One paper was accepted to IJCAI 2021
We have one paper "RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning" accepted to IJCAI 2021.
One paper was accepted to ICASSP 2021
We have one paper "Mutually-Constrained Monotonic Multihead Attention for Online ASR" was accepted to ICASSP 2021.
Three papers were accepted to ICLR 2021
We have three papers "FedMix: Approximation of Mixup under Mean Augmented Federated Learning", "Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning" and "Learning to Sample with Local and Global Contexts in Experience Replay Buffer" accepted to ICLR 2021.
Two papers were accepted to AAAI 2021
We have two papers "GTA: Graph Truncated Attention for Retrosynthesis" and "Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning" accepted to AAAI 2021.
Six papers were accepted to NeurIPS 2020
We have six papers "Time-Reversal Symmetric ODE Network", "Bootstrapping Neural Processes", "Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning", "Attribution Preservation in Network Compression for Reliable Network Interpretation", "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" and "Neural Complexity Measures" accepted to NeurIPS 2020.
One paper was accepted to ICML 2020
We have one paper "Cost-effective Interactive Attention Learning with Neural Attention Process" accepted to ICML 2020.
Four papers were accepted to ICLR 2020
We have four papers "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", "Meta Dropout: Learning to Perturb Latent Features for Generalization", "Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks" and "Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks" accepted to ICLR 2020.
ICML 2020 Area Chair
Prof. Yang will be serving as an area chair at ICML 2020.
IJCAI 2020 Senior Program Committee
Prof. Yang will be serving as a senior program committee at IJCAI 2020.
One paper was accepted to AAAI 2020
We have one paper "Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare" accepted to AAAI 2020.
Two papers were accepted to ICML 2019
We have two papers "Spectral Approximate Inference" and "Trimming the L1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning" accepted to ICML 2019.
NeurIPS 2019 Area Chair
Prof. Yang will be serving as an area chair at NeurIPS 2019.
One paper was accepted to ICLR 2019
We have one paper "Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning" accepted to ICLR 2019.
Three papers were accepted to NeurIPS 2018
We have three papers "Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding", "Uncertainty-Aware Attention for Reliable Interpretation and Prediction" and "DropMax: Adaptive Variational Softmax" accepted to NeurIPS 2018.
NeurIPS 2018 Area Chair
Prof. Yang will be serving as an area chair at NeurIPS 2018.
One paper was accepted to ICML 2018
We have one paper "Deep Asymmetric Multi-task Feature Learning" accepted to ICML 2018.
One paper was accepted to ICLR 2018
We have one paper "Lifelong Learning with Dynamically Expandable Networks" accepted to ICLR 2018.
NIPS 2017 Area Chair
Prof. Yang will be serving as an area chair at NIPS 2017.
Welcome to MLILAB
MLILAB
2024-07-02