ICLR 2024 Conference Submissions

A neuro-symbolic framework for answering conjunctive queries
Pablo Barcelo, tamara cucumides, Floris Geerts, Juan L Reutter, Miguel Romero Orth
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Closing the gap on tabular data with Fourier and Implicit Categorical Features
Marius Dragoi, Florin Gogianu, Elena Burceanu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Explaining Contrastive Models using Exemplars: Explanation, Confidence, and Knowledge Limits
M Shifat Hossain, Chase Walker, Sumit Kumar Jha, Rickard Ewetz
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
(Dynamic) Prompting might be all you need to repair Compressed LLMs
Duc N.M Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Instance Segmentation with Supervoxel Based Topological Loss Function
Anna Grim, Jayaram Chandrashekar, Karel Svoboda, Uygar Sümbül
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Using Approximate Models for Efficient Exploration in Reinforcement Learning
Divanisha Patel, Benjamin Rosman, Steven James
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
$\nu$-ensembles: Improving deep ensemble calibration in the small data regime
Konstantinos Pitas, Julyan Arbel
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Zhijian Liu, Zhuoyang Zhang, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Sorting Out Quantum Monte Carlo
Jack Richter-Powell, Luca Thiede, Alan Aspuru-Guzik, David Duvenaud
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Proximal Preference Optimization for Diffusion Models
Fei Deng, Qifei Wang, Wei Wei, Tingbo Hou, Matthias Grundmann
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Understanding the Theoretical Generalization Performance of Federated Learning
Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness Shroff
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Expressive Losses for Verified Robustness via Convex Combinations
Alessandro De Palma, Rudy R Bunel, Krishnamurthy Dj Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On Sampling Information Sets to Learn from Imperfect Information
Timo Bertram, Johannes Fürnkranz, Martin Müller
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting
Sangamesh Kodge, Gobinda Saha, Kaushik Roy
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
Md Musfiqur Rahman, Murat Kocaoglu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Detecting Shortcuts using Mutual Information
Mohammed Adnan, Yani Ioannou, Kenyon Tsai, Angus Galloway, Hamid Tizhoosh, Rahul G Krishnan, Graham W. Taylor
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural functional a posteriori error estimates
Vladimir Fanaskov, Alexander Rudikov, Ivan Oseledets
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
FedLPA: Personalized One-shot Federated Learning with Layer-Wise Posterior Aggregation
Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
- 23 Sept 2023 (modified: 30 May 2024)
- Submitted to ICLR 2024
- Readers: Everyone
What's In My Big Data?
Yanai Elazar, Akshita Bhagia, Ian Helgi Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han, Zhuo Feng, Yue Ning
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone