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演讲顺序 论文 演讲者 组员1 组员2 组员3 组员4 组员5
1Lora- Low-rank adaptation of large language models邓子豪刘艺邓子豪黄琪赖柏宇李天杰
2A simple framework for contrastive learning of visual representations戈炎张心语吴晨博宿豪林圣川戈炎
3A Self-Attentive model for Knowledge Tracing马萌阳 徐天琪周瑶贾瑞雪李文静马萌阳徐天琪
4Decision Transformer: Reinforcement Learning via Sequence Modeling丁榕丁榕赵会党宋晶晶齐慧慧王雅妮
5Advances and Challenges in Meta-Learning- A Technical Review胡南杨硕存李旺迪高乐乐韩沛桁胡南
6Mask-r-cnn赵贺森赵贺森李昊拓文崟齐浩然蔡旺泽
7Adversarial machine learning冯逸文白博昊李亚峰杨禹冯逸文
8Deep Residual Learning for Image Recognition张银翔张银翔孙方圆何妍吴月褚东皓
9End-to-end incremental learning宋新颜宋新颜赵旭胡校萌张飞扬程庆鑫
10Variational Diffusion Models王旭辉 姚银城王旭辉姚银城王旭升曾庆礼
11Adversarial Discriminative Domain Adaptation任意缘李鹏浩陈鑫王振广朱鑫任意缘
12NeurIPS-2021-dualnet-continual-learning-fast-and-slow-Paper李思原刘濮源李思原任政宇水恒
13Human-level control through deep reinforcement learning朱悦悦朱悦悦黄帝勰马丁贾关成伍嘉庆
14Supervised contrastive learning马荣泽 雷星亮马荣泽雷星亮傅一航袁家豪徐晨宇
 

分享安排

演讲顺序 论文 演讲者 组员1 组员2 组员3 组员4 组员5
1GCN罗佳铭罗佳铭张秦玮李长顺杨莹坤吴佳睿
2Self-taught Learning: Transfer Learning from Unlabeled Data邵明辰宋昕玥邵明辰李龙豪魏欣溶毕墁莲
3Generative Adversarial Nets董贺芫柏松良尹浩董贺芫周嘉昊胡岚书
4Domain adaptation via transfer component analysis任彪煜张霄甘仰发任彪煜张凯伦卢超远
5Deep Self-Taught Learning for Weakly Supervised Object Localization任华戬任华戬刘昌昌袁林张樊刘航
6Chain-of-Thought Prompting Elicits Reasoning in Large Language Models齐晨星闫舒妤齐晨星庞岩程沛张慧
7NeurIPS-2020-what-is-being-transferred-in-transfer-learning-Paper王浩王浩白麒正刘翔张帅龙
8Asynchronous Methods for Deep Reinforcement Learning陈金健 张学骁陈金健张学骁冉春程陈培伦王耀文
9Attention is all you need仝泽慧白雷雨要凌峰杨光仝泽慧张明义
10BERT-Pre-training of Deep Bidirectional Transformers for Language Understanding杨佳欣胡馨月李宇航杨佳欣鲍宏伟欧阳金枝
11U-Net: Convolutional Networks for Biomedical Image Segmentation蔡荣庆张思垚赵欣瑶蔡荣庆党伟伟李杰
12Deep Knowledge Tracing刘甲刘甲仙一航陈尧刘臻谭罗威
13Knowledge Distillation from A Stronger Teacher汪成磊,文龙武世栋武守恒文龙汪成磊吴韦烨
14 Three types of incremental learning徐权杰徐权杰张闯弓臣侯亚韩方浩