ICLR 2024 Conference Submissions

RECURSIVE NEURAL ORDINARY DIFFERENTIAL EQUATIONS FOR PARTIALLY OBSERVED SYSTEM
Paul Ghanem, ahmet demirkaya, Zachary Danziger, Alireza Ramezani, Tales Imbiriba, Deniz Erdogmus
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes
Wei Mao, Richard Hartley, Mathieu Salzmann, miaomiao Liu
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Class Probability Matching with Calibrated Networks for Label Shift Adaption
Hongwei Wen, Annika Betken, Hanyuan Hang
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
Zilin Si, Gu Zhang, Qingwei Ben, Branden Romero, Zhou Xian, Chao Liu, Chuang Gan
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
MAMS: MODEL-AGNOSTIC MODULE SELECTION FRAMEWORK FOR VIDEO CAPTIONING
Sangho LEE, Hogun Park
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Tangent Transformers for Composition,Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
Linfeng Ye, Shayan Mohajer Hamidi, Renhao Tan, EN-HUI YANG
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
AUTOMATIC NEURAL SPATIAL INTEGRATION
Zilu Li, Guandao Yang, Xi Deng, Bharath Hariharan, Leonidas Guibas, Gordon Wetzstein
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Roni Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein
- Published: 16 Jan 2024, Last Modified: 28 Oct 2024
- ICLR 2024 poster
- Readers: Everyone
A foundation model for time-series forecasting
Rajat Sen, Yichen Zhou, Abhimanyu Das, Weihao Kong
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Seyed Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Counterfactual Generative Models for Time-Varying Treatments
Shenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Thin-Shell Object Manipulations With Differentiable Physics Simulations
Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan
- Published: 16 Jan 2024, Last Modified: 30 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
Oleg Kachan, Andrey Savchenko, Gleb Gennadjevich Gusev
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Model Breadcrumbs: Crafting Multi-Task Models from Pre-Existing Fine-Tuned Foundation Models
MohammadReza Davari, Eugene Belilovsky
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Denoising Low-Rank Data Under Distribution Shift: Double Descent and Data Augmentation
Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Prompt Engineering a Prompt Engineer
Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
A Competition Winning Deep Reinforcement Learning Agent in microRTS
Scott Goodfriend
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks
Ponkrshnan Thiagarajan, Susanta Ghosh
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Reward Centering
Abhishek Naik, Yi Wan, Richard S. Sutton
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Three ways that non-differentiability affects neural network training
Siddharth Krishna Kumar
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A GRAPH-BASED REPRESENTATION LEARNING APPROACH FOR BREAST CANCER RISK PREDICTION USING GENOTYPE DATA
Naga Raju Gudhe, veli-matti Kosma, Hamid Behravan, Arto Mannermaa
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone