ICLR 2024 Conference Submissions

TIGERScore: Building Explainable Metric for All Text Generation Task
Dongfu Jiang, Yishan Li, Ge Zhang, Wenhao Huang, Bill Yuchen Lin, Wenhu Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedPnP:A Plug and Play Approach For Personalized Graph-Structured Federated Learning
Arash Rasti-Meymandi, Ahmad Sajedi, Konstantinos N Plataniotis
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low Computational Overhead
Minsu Kim, Walid Saad, Merouane Abdelkader DEBBAH, Choong Seon Hong
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, James Zou
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Smoothing for exponential family dynamical systems
Matthew Dowling, Yuan Zhao, Il Memming Park
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Don't forget private retrieval: distributed private similarity search for large language models
Guy Zyskind, Tobin South, Alex Pentland
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Do LLMs exhibit human-like response biases? A case study in survey design
Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkar, Graham Neubig
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Establishing Guaranteed Error for Learned Database Operations
Sepanta Zeighami, Cyrus Shahabi
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim, Arianna Bisazza
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Automatic Calibration Diagnosis: Interpreting Probability Integral Transform (PIT) Histograms
Ondřej Podsztavek, Kai Lars Polsterer, Alexander I. Jordan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
Yongsheng Mei, Mahdi Imani, Tian Lan
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet, Daniel Luo, Donal John Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries Petrus Smit, Nathan Grinsztajn, Raphael Boige, Cemlyn Neil Waters, Mohamed Ali Ali Mimouni, Ulrich Armel Mbou Sob, Ruan John de Kock, Siddarth Singh et al. (4 additional authors not shown)
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Differentiable Euler Characteristic Transforms for Shape Classification
Ernst Röell, Bastian Rieck
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A Shot-Efficient Differential Equation Integrator using Quantum Neural Networks
Atiyo Ghosh, Gergana V. Velikova, Panagiotis Barkoutsos, Vincent Emanuel Elfving
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Causally Aligned Curriculum Learning
Mingxuan Li, Junzhe Zhang, Elias Bareinboim
- Published: 16 Jan 2024, Last Modified: 08 May 2024
- ICLR 2024 poster
- Readers: Everyone
Transforming Transformers for Resilient Lifelong Learning
Chinmay Savadikar, Michelle Dai, Tianfu Wu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong, Zekai Fan, Shixiang Zhu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HHD-Ethiopic: A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-level Performance
Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution
Brandon Morgan, Dean F. Hougen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Improving length generalization in transformers via task hinting
Pranjal Awasthi, Anupam Gupta
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ARE YOU CERTAIN THAT IT IS A DEEPFAKE? DETECTION, GENERATION, AND SOURCE DETECTION FROM AN UNCERTAINTY PERSPECTIVE
Neslihan Kose, Anthony Rhodes, Umur A. Ciftci, Ilke Demir
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Routing with Rich Text Queries via Next-Vertex Prediction Models
Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sparling: Learning Latent Representations With Extremely Sparse Activations
Kavi Gupta, Osbert Bastani, Armando Solar-Lezama
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone