Panel
Featured Papers Panels 3B
Virtual
Moderators: Emmanuel Kahembwe · Tatiana Likhomanenko · Siddharth N · Marco Mondelli
Each panel session is split into four 30-minute blocks composed of a set of lightning talks and a deep dive session related to similar topics. The deep dive will begin immediately after lightning talks and the related Q&A (it might be before the 15 min are over). We will not take any questions via microphone but ask you to use slido (see embedding below or go to https://slido.com and use keyword #neurips22). If you are a presenter or moderator, you should see a zoom link that you can use to join the session for Q&A.
Finally some important don'ts: DO NOT share any zoom or slido information publicly. DO NOT join zoom if you are not presenting or moderating.
Lightning Talks 3B-1
Tianying Ji · Tongda Xu · Giulia Denevi · Aibek Alanov · Martin Wistuba · Wei Zhang · Yuesong Shen · Massimiliano Pontil · Vadim Titov · Yan Wang · Yu Luo · Daniel Cremers · Yanjun Han · Arlind Kadra · Dailan He · Josif Grabocka · Zhengyuan Zhou · Fuchun Sun · Carlo Ciliberto · Dmitry Vetrov · Mingxuan Jing · Chenjian Gao · Aaron Flores · Tsachy Weissman · Han Gao · Fengxiang He · Kunzan Liu · Wenbing Huang · Hongwei Qin
- [ 64963 ] Conditional Meta-Learning of Linear Representations
- [ 64965 ] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
- [ 64966 ] Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
- [ 64968 ] Deep Combinatorial Aggregation
- [ 64969 ] When to Update Your Model: Constrained Model-based Reinforcement Learning
- [ 64970 ] HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
- [ 64972 ] Multi-Sample Training for Neural Image Compression
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-1: Censored Quantile Regression… & Deconfounded Representation Similarity…
Tim Pearce · Tianyu Cui
Lightning Talks 3B-2
Yu Huang · Tero Karras · Maxim Kodryan · Shiau Hong Lim · Shudong Huang · Ziyu Wang · Siqiao Xue · ILYAS MALIK · Ekaterina Lobacheva · Miika Aittala · Hongjie Wu · Yuhao Zhou · Yingbin Liang · Xiaoming Shi · Jun Zhu · Maksim Nakhodnov · Timo Aila · Yazhou Ren · James Zhang · Longbo Huang · Dmitry Vetrov · Ivor Tsang · Hongyuan Mei · Samuli Laine · Zenglin Xu · Wentao Feng · Jiancheng Lv
- [ 64973 ] Provable Generalization of Overparameterized Meta-learning Trained with SGD
- [ 64974 ] Elucidating the Design Space of Diffusion-Based Generative Models
- [ 64975 ] HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
- [ 64977 ] Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
- [ 64978 ] Fast Instrument Learning with Faster Rates
- [ 64980 ] Multi-view Subspace Clustering on Topological Manifold
- [ 64981 ] Distributional Reinforcement Learning for Risk-Sensitive Policies
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-2: Exponential Separations in… & The Neural Covariance…
Aaron Zweig · Mihai Nica
Lightning Talks 3B-3
Sitao Luan · Zhiyuan You · Ruofan Liu · Linhao Qu · Yuwei Fu · Jiaxi Wang · Chunyu Wei · Jian Liang · xiaoyuan luo · Di Wu · Yun Lin · Lei Cui · Ji Wu · Chenqing Hua · Yujun Shen · Qincheng Lu · XIANGLIN YANG · Benoit Boulet · Manning Wang · Di Liu · Lei Huang · Fei Wang · Kai Yang · Jiaqi Zhu · Jin Song Dong · Zhijian Song · Xin Lu · Mingde Zhao · Shuyuan Zhang · Yu Zheng · Xiao-Wen Chang · Xinyi Le · Doina Precup
- [ 65007 ] Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
- [ 65008 ] Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
- [ 65009 ] Revisiting Heterophily For Graph Neural Networks
- [ 65010 ] Understanding the Failure of Batch Normalization for Transformers in NLP
- [ 65011 ] A Unified Model for Multi-class Anomaly Detection
- [ 65013 ] A Closer Look at Offline RL Agents
- [ 65014 ] Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-3: A Multi-Resolution Framework… & Staircase Attention for…
Da JU · Fabian Falck
Lightning Talks 3B-4
Guanghu Yuan · Yijing Liu · Li Yang · Yongri Piao · Zekang Zhang · Yaxin Xiao · Lin Chen · Yinqi Li · Fajie Yuan · Guangyu Gao · Hong Chang · Qinxian Liu · Zhixiang Wei · Qingqing Ye · Chenyang Lu · Jian Meng · Haibo Hu · Xin Jin · Yudong Li · Miao Zhang · Zhiyuan Fang · Jae-sun Seo · Bingpeng MA · Jian-Wei Zhang · Shiguang Shan · Haozhe Feng · Huaian Chen · Deliang Fan · Huadi Zheng · Jianbo Jiao · Huchuan Lu · Beibei Kong · Miao Zheng · Chengfang Fang · Shujie Li · Zhongwei Wang · Yunchao Wei · Xilin Chen · Jie Shi · Kai Chen · Zihan Zhou · Lei Chen · Yi Jin · Wei Chen · Min Yang · Chenyun YU · Bo Hu · Zang Li · Yu Xu · Xiaohu Qie
- [ 65015 ] Get More at Once: Alternating Sparse Training with Gradient Correction
- [ 65016 ] Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
- [ 65019 ] Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
- [ 65020 ] MExMI: Pool-based Active Model Extraction Crossover Membership Inference
- [ 65021 ] Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
- [ 65022 ] Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
- [ 65023 ] Optimal Positive Generation via Latent Transformation for Contrastive Learning
- [ 65025 ] Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Q&A on RocketChat immediately following Lightning Talks
Panel 3B-4: Learning and Covering… & Asymptotics of smoothed…
Jonathan Niles-Weed · Konstantinos Stavropoulos