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ICLR 2024 Conference Submissions
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
Ji Won Park
,
Natasa Tagasovska
,
Michael Maser
,
Stephen Ra
,
Kyunghyun Cho
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
Privately Aligning Language Models with Reinforcement Learning
Fan Wu
,
Huseyin A Inan
,
Arturs Backurs
,
Varun Chandrasekaran
,
Janardhan Kulkarni
,
Robert Sim
Published: 16 Jan 2024, Last Modified: 05 Mar 2024
ICLR 2024 poster
Readers:
Everyone
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng
,
Jeffrey Quesnelle
,
Honglu Fan
,
Enrico Shippole
Published: 16 Jan 2024, Last Modified: 09 Mar 2024
ICLR 2024 poster
Readers:
Everyone
Evaluating and Improving Generation Consistency of Large Language Models via A Divide-Conquer-Reasoning Approach
Wendi Cui
,
Jiaxin Zhang
,
Zhuohang Li
,
Damien Lopez
,
Kamalika Das
,
Bradley Malin
,
Sricharan Kumar
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
On the Generalization of Training-based ChatGPT Detection Methods
Han Xu
,
Jie Ren
,
Pengfei He
,
Shenglai Zeng
,
Yingqian Cui
,
Amy Liu
,
Hui Liu
,
Jiliang Tang
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
Divergence at the Interpolation Threshold: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
Rylan Schaeffer
,
Zachary Robertson
,
Akhilan Boopathy
,
Mikail Khona
,
Ila R Fiete
,
Andrey Gromov
,
Sanmi Koyejo
22 Sept 2023 (modified: 25 Mar 2024)
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
Jenny Hamer
,
Eleni Triantafillou
,
Bart van Merriënboer
,
Stefan Kahl
,
Holger Klinck
,
tom denton
,
Vincent Dumoulin
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
What Improves the Generalization of Graph Transformer? A Theoretical Dive into Self-attention and Positional Encoding
Hongkang Li
,
Meng Wang
,
Tengfei Ma
,
Sijia Liu
,
ZAIXI ZHANG
,
Pin-Yu Chen
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
Bahare Fatemi
,
Sami Abu-El-Haija
,
Anton Tsitsulin
,
Mehran Kazemi
,
Dustin Zelle
,
Neslihan Bulut
,
Jonathan Halcrow
,
Bryan Perozzi
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
Estimating Performative Effects in Dynamical Systems: the advantage of sequential observations
Gary Cheng
,
Moritz Hardt
,
Celestine Mendler-Dünner
22 Sept 2023 (modified: 25 Mar 2024)
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Accelerating Sinkhorn algorithm with sparse Newton iterations
Xun Tang
,
Michael Shavlovsky
,
Holakou Rahmanian
,
Elisa Tardini
,
Kiran Koshy Thekumparampil
,
Tesi Xiao
,
Lexing Ying
Published: 16 Jan 2024, Last Modified: 05 Mar 2024
ICLR 2024 poster
Readers:
Everyone
$\sigma$-PCA: a unified neural model for linear and nonlinear principal component analysis
Fahdi Kanavati
,
Lucy Katsnith
,
Masayuki Tsuneki
22 Sept 2023 (modified: 25 Mar 2024)
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity
Lu Yin
,
Shiwei Liu
,
AJAY KUMAR JAISWAL
,
Souvik Kundu
,
Zhangyang Wang
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
UGC: UNIVERSAL GRAPH COARSENING
Mohit Kataria
,
Sandeep Kumar
,
Jayadeva Jayadeva
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
Functional Interpolation for Relative Positions improves Long Context Transformers
Shanda Li
,
Chong You
,
Guru Guruganesh
,
Joshua Ainslie
,
Santiago Ontanon
,
Manzil Zaheer
,
Sumit Sanghai
,
Yiming Yang
,
Sanjiv Kumar
,
Srinadh Bhojanapalli
Published: 16 Jan 2024, Last Modified: 05 Mar 2024
ICLR 2024 poster
Readers:
Everyone
Stream: A Generalized Continual Learning Benchmark and Baseline
Iordanis Fostiropoulos
,
Jiaye Zhu
,
Laurent Itti
22 Sept 2023 (modified: 25 Mar 2024)
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination
Lu Wen
,
Songan Zhang
,
Eric H. Tseng
,
Huei Peng
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
Word Importance Explains How Prompts Affect Language Model Outputs
Stefan Hackmann
,
Haniyeh Mahmoudian
,
Mark Steadman
,
Michael Schmidt
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales
Aaron Chan
,
Zhiyuan Zeng
,
Wyatt Lake
,
Brihi Joshi
,
Hanjie Chen
,
Xiang Ren
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
Pre-training with Random Orthogonal Projection Image Modeling
Maryam Haghighat
,
Peyman Moghadam
,
Shaheer Mohamed
,
Piotr Koniusz
Published: 16 Jan 2024, Last Modified: 13 Apr 2024
ICLR 2024 spotlight
Readers:
Everyone
Correct-by-design Safety Critics using Non-contractive Binary Bellman Operators
Agustin Castellano
,
Hancheng Min
,
Juan Andres Bazerque
,
Enrique Mallada
22 Sept 2023 (modified: 25 Mar 2024)
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Lev Telyatnikov
,
Maria Sofia Bucarelli
,
Guillermo Bernardez
,
Olga Zaghen
,
Simone Scardapane
,
Pietro Lio
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu
,
Mark Hamilton
,
Laura E. Brandt
,
Axel Feldmann
,
Zhoutong Zhang
,
William T. Freeman
Published: 16 Jan 2024, Last Modified: 15 Mar 2024
ICLR 2024 poster
Readers:
Everyone
Diversity-aware Continual Learning with Latent Knowledge Hypergraph
Jiayi Chen
,
Kishlay Jha
,
Aidong Zhang
22 Sept 2023 (modified: 25 Mar 2024)
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Mechanistic Neural Networks
Adeel Pervez
,
Francesco Locatello
,
Efstratios Gavves
22 Sept 2023 (modified: 11 Feb 2024)
Submitted to ICLR 2024
Readers:
Everyone
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