Apple is sponsoring the Worldwide Convention on Studying Representations (ICLR), which is happening in individual from Could 7 to 11 in Vienna Austria. ICLR brings collectively professionals devoted to the development of deep studying.
Schedule
Beneath is the schedule of Apple sponsored workshops and occasions at ICLR 2024. Cease by the Apple sales space from Could 7 to 9 from 9:00am – 5:00pm CEST and Could 10 from 9:00am – 4:00pm CEST at Halle/Corridor A, Sales space #3.
Tuesday, Could 7
- Environment friendly ConvBN Blocks for Switch Studying and Past
- 10:45am – 12:45pm CEST, Halle/Corridor B, #176
- Kaichao You (Tsinghua College), Qin Guo (Tsinghua College), Anchang Bao (Tsinghua College), Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Lengthy (Tsinghua College)
- Poly-View Contrastive Studying
- 4:30pm – 6:30pm CEST, Halle/Corridor B, #284
- Amitis Shidani (Oxford College), Dan Busbridge, Devon Hjelm, Jason Ramapuram, Eeshan Gunesh Dhekane, Russ Webb
Wednesday, Could 8
- Girls in Machine Studying
- 12:00pm – 2:00pm CEST, Halle/Corridor B 6
- Dhruti Shah and Maria Cervera can be collaborating within the WIML social.
- FERRET: Refer and Floor Something Anyplace at Any Granularity
- 4:30pm – 6:30pm CEST, Halle/Corridor B, #81
- Haoxuan You, Haotian (AIML) Zhang, Liangliang Cao, Zhe Gan, Bowen Zhang, Zirui Wang, Xianzhi Du, Shih-Fu Chang (Columbia College), Yinfei Yang
Thursday, Could 9
- Generative Modeling with Section Stochastic Bridge
- 10:30am – 10:45am CEST, Halle/Corridor A 8-9
- Tianrong Chen (Georgia Institute of Know-how), Jiatao Gu, Josh Susskind, Shuangfei Zhai, Laurent Dinh, Evangelos Theodorou (Georgia Tech)
- Generative Modeling with Section Stochastic Bridge
- 10:45am – 12:45am CEST, Halle/Corridor B, #77
- Tianrong Chen (Georgia Institute of Know-how), Jiatao Gu, Josh Susskind, Shuangfei Zhai, Laurent Dinh, Evangelos Theodorou (Georgia Tech)
- MOFI: Studying Picture Illustration from Noisy Entity Annotated Photos
- 10:45am – 12:45am CEST, Halle/Corridor B, #190
- Wentao Wu, Aleksei Timofeev, Chen (SII) Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens (Google (contributions whereas at Apple)), Xianzhi Du, Zhe Gan, Yinfei Yang
- Manifold Diffusion Fields
- 4:30pm – 6:30pm CEST, Halle/Corridor B, #38
- Ahmed Elhag (AIMS Senegal), Yuyang Wang, Josh Susskind, Miguel Angel Bautista Martin
- Matryoshka Diffusion Fashions
- 4:30pm – 6:30pm CEST, Halle/Corridor B, #246
- Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh Susskind, Navdeep Jaitly
Friday, Could 10
- Giant Language Fashions for Generalizable Reinforcement Studying of Embodied Duties
- 10:45am – 12:45am CEST, Halle/Corridor B, #264
- Andrew Szot (Georgia Institute of Know-how), Max Schwarzer (Université de Montréal), Harsh Agrawal, Bogdan Mazoure, Rin Metcalf Susa, Natalie Mackraz, Walter Talbott, Devon Hjelm, Alexander Toshev
- TiC-CLIP: Continuous Coaching of CLIP Fashions
- 4:30pm – 6:30pm CEST, Halle/Corridor B, #139
- Saurabh Garg (Carnegie Mellon College), Hadi Pour Ansari, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
Saturday, Could 11
Accepted Papers
Compressing LLMs: The Reality is Not often Pure and By no means Easy
Ajay Jaiswal (The College of Texas at Austin), Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang (The College of Texas at Austin), Yinfei Yang
Information Filtering Features: Algorithmic Curation of Billion Scale Datasets
Alex Fang (College of Washington), Albin Madappally Jose, Amit Jain, Ludwig Schmidt (College of Washington), Alexander Toshev, Vaishaal Shankar
Environment friendly ConvBN Blocks for Switch Studying and Past
Kaichao You (Tsinghua College), Qin Guo (Tsinghua College), Anchang Bao (Tsinghua College), Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Lengthy (Tsinghua College)
Environment friendly-3Dim: Studying a Generalizable Single Picture Novel View Synthesizer in One Day
Yifan Jiang, Hao Tang, Rick Chang, Liangchen Music, Zhangyang Wang (College of Texas at Austin), Liangliang Cao
FedHyper: Adaptive Step Sizes for Environment friendly Federated Studying with Hypergradient Descent
Ziyao Wang (College of Maryland School Park), Jianyu Wang, Ang Li (College of Maryland School Park)
FERRET: Refer and Floor Something Anyplace at Any Granularity
Haoxuan You, Haotian (AIML) Zhang, Liangliang Cao, Zhe Gan, Bowen Zhang, Zirui Wang, Xianzhi Du, Shih-Fu Chang (Columbia College), Yinfei Yang
Generative Modeling with Section Stochastic Bridge
Tianrong Chen (Georgia Tech), Jiatao Gu, Josh Susskind, Shuangfei Zhai, Laurent Dinh, Evangelos Theodorou (Georgia Tech)
Guiding Instruction-based Picture Enhancing by way of Multimodal Giant Language Fashions
Tsu-Jui Fu (College of California, Santa Barbara), Wenze Hu, Xianzhi Du, William Wang (College of California, Santa Barbara), Yinfei Yang, Zhe Gan
Hindsight PRIORs for Reward Studying from Human Preferences
Mudit Verma (Apple Intern / Arizona State College), Rin Metcalf Susa
JointNet: Extending Textual content-to-Picture Diffusion for Dense Distribution Modeling
Jingyang Zhang, Shiwei Li, Yuanxun Lu (Nanjing College), Tian Fang, David McKinnon, Yanghai Tsin, Lengthy Quan (The College of Science and Know-how), Yao Yao (Nanjing College)
Giant Language Fashions for Generalizable Reinforcement Studying of Embodied Duties
Andrew Szot (Georgia Institute of Know-how), Max Schwarzer (Université de Montréal), Harsh Agrawal, Bogdan Mazoure, Rin Metcalf Susa, Natalie Mackraz, Walter Talbott, Devon Hjelm, Alexander Toshev
Giant-scale Coaching of Basis Fashions for Wearable Biosignals
Salar Abbaspourazad, Oussama Elachqar, Andy Miller, Saba Emrani, Udhay Nallasamy, Ian Shapiro
LiDAR: Sensing Linear Probing Efficiency in Joint Embedding SSL Architectures
Vimal Thilak, Omid Saremi, Preetum Nakkiran, Josh Susskind, Chen Huang, Hanlin Goh, Laurent Dinh, Etai Littwin
Ahmed Elhag (AIMS Senegal), Yuyang Wang, Josh Susskind, Miguel Angel Bautista Martin
Matryoshka Diffusion Fashions
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh Susskind, Navdeep Jaitly
MOFI: Studying Picture Illustration from Noisy Entity Annotated Photos
Wentao Wu, Aleksei Timofeev, Chen (SII) Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens (Google (contributions whereas at Apple)), Xianzhi Du, Zhe Gan, Yinfei Yang
Yuhang Zang (Nanyang Technological College), Hanlin Goh, Josh Susskind, Chen Huang
Poly-View Contrastive Studying
Amitis Shidani (Oxford College), Dan Busbridge, Devon Hjelm, Jason Ramapuram, Eeshan Gunesh Dhekane, Russ Webb
ReLU Strikes Again: Exploiting Activation Sparsity in Giant Language Fashions
Iman Mirzadeh, Keivan Alizadeh Vahid, Sachin Mehta, Carlo C Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
TiC-CLIP: Continuous Coaching of CLIP Fashions
Saurabh Garg (Carnegie Mellon College), Hadi Pour Ansari, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
Vanishing gradients in reinforcement studying primarily based fine-tuning of language fashions
Noam Razin (Tel Aviv College), Hattie Zhou (Université de Montréal), Preetum Nakkiran, Josh Susskind, Omid Saremi, Arwen Bradley, Vimal Thilak, Etai Littwin
What Algorithms can Transformers Be taught? A Research in Size Generalization
Hattie Zhou (Université de Montréal), Omid Saremi, Etai Littwin, Arwen Bradley, Noam Razin (Tel Aviv College), Josh Susskind, Samy Bengio, Preetum Nakkiran
Conformal Prediction by way of Regression-as-Classification
Etash Guha (Riken AIP), Shlok Natarajan (Salesforce), Thomas Mollenhoff (Riken AIP), Emtiyaz Khan (Riken AIP), Eugene Ndiaye
The way to compute effectively Hessian-vector merchandise?
Mathieu Dagreou (Inria), Thomas Moreau (Inria), Samuel Vaiter (CNRS), Pierre Ablin
Solely Pay for What’s Unsure: Variance-Adaptive Thompson Sampling
Aadi Saha, Branislav Kveton (Amazon)
Pseudo-Generalized Dynamic View Synthesis from a Video
Xiaoming Zhao (UIUC), Fangchang Ma, Josh Susskind, Miguel Angel Bautista Martin, Alex Colburn, Alex Schwing
When Can Transformers Motive With Summary Symbols?
Enric Boix (MIT), Josh Susskind, Omid Saremi, Emmanuel Abbe, Etai Littwin, Samy Bengio
Workshop Accepted Papers
Frequency-Conscious Masked Autoencoders for Multimodal Pretraining on Biosignals
Ran Liu (Georgia Institute of Know-how), Ellen Zippi, Hadi Pour Ansari, Chris Sandino, Jingping Nie (Columbia College), Hanlin Goh, Erdrin Azemi, Ali Moin
How Far Are We from Clever Visible Deductive Reasoning?
Yizhe Zhang, Richard Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh Susskind, Navdeep Jaitly
Giant-scale Coaching of Basis Fashions for Wearable Biosignals
Salar Abbaspourazad, Oussama Elachqar, Andy Miller, Saba Emrani, Udhay Nallasamy, Ian Shapiro
Rephrase not Repeat: Beating Scaling Legal guidelines in Information Constrained Language Modeling
Pratyush Maini (CMU), Skyler Seto, David Grangier, Richard Bai, Yizhe Zhang, Navdeep Jaitly
Acknowledgements
Samy Bengio is a member of the ICLR 2024 Organizing Committee.
Samy Bengio, Miguel Angel Bautista Martin, Eugene Ndiaye and Yizhe Zhang are ICLR 2024 space chairs.
Fartash Faghri, Enrico Fini, Devon Hjelm, Bogdan Mazoure, Wenze Hu, Rin Metcalf Susa, Vimal Thilak and Luca Zappella are reviewers for ICLR 2024.