ICLR 2024 Conference Submissions

Loci-Segmented: Improving Scene Segmentation Learning
Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Conceptual Framework for Analyzing Social Representation in Unstructured Data
Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph-PDE: Coupled ODE Structure for Graph Neural Networks
Nan Yin, Zhenghan Chen, Mengzhu Wang, Li Shen, Giulia De Masi, Huan Xiong, Bin Gu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Contextual Molecule Representation Learning from Chemical Reaction Knowledge
Han Tang, Shikun Feng, 碧澄林, Jingjing Liu, Wei-Ying Ma, Yanyan Lan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Subgraph Isomorphism Counting with Graph Kernels
Xin Liu, Weiqi Wang, Jiaxin Bai, Yangqiu Song
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Calibrated Simulation for Offline Training of Reinforcement Learning Agents to Optimize Energy and Emission in Office Buildings
Judah Goldfeder, John Sipple
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Generating Explanations From Linear Structural Causal Models
Matej Zečević, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
On the Provable Advantage of Unsupervised Pretraining
Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
Frederikke Isa Marin, Felix Teufel, Marc Horlacher, Dennis Madsen, Dennis Pultz, Ole Winther, Wouter Boomsma
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Diversity Modeling for Semantic Shift Detection
Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin CHEN
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TorchRL: A data-driven decision-making library for PyTorch
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
Raja Sekhar Reddy Mekala, Yasaman Razeghi, Sameer Singh
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generalized Adversarial Learning--An Innovative Unsupervised Paradigm In LLM's Calibration
ZiXuan Chen, Jinxiu Liu, Hanlin Wang, Nuo Chen, Qi Liu
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Training Binary Neural Networks in a Binary Weight Space
Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bandits with Ranking Feedback
Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti, Marcello Restelli
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Factorized Neural Radiance Field with Depth Covariance Function for Dense RGB Mapping
Tongyan Hua, Haotian Bai, Zidong Cao, Lin Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Training and inference of large language models using 8-bit floating point
Sergio P. Perez, Yan Zhang, James Briggs, Charlie Blake, Josh Levy-Kramer, Paul Balanca, Carlo Luschi, Stephen Barlow, Andrew W Fitzgibbon
- 22 Sept 2023 (modified: 27 Jun 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen Wright, Lise Getoor
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding and Tackling Over-Dilution in Graph Neural Networks
Junhyun Lee, Veronika Thost, Bumsoo Kim, Jaewoo Kang, Tengfei Ma
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Bursztyn, Nikos Vlassis, Ryan A. Rossi
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Coherence
Simon Guiroy, Christopher Pal, Sarath Chandar, Mats Leon Richter
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SSC Layer - A replacement for convolutional layers
Joel Rixen, Matthias Renz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Quality-Diversity Transfer Learning (QDTL)
Samridhi Vaid, Simon Urschel, David Mark Olson, Matthew Guzdial
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Learning Deep O($n$)-Equivariant Hyperspheres
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
Mufei Li, Eleonora Kreacic, Vamsi K. Potluru, Pan Li
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone