TMLR Published Papers
@tmlr-pub.bsky.social
📤 548
📥 1
📝 1828
TMLR Homepage:
https://jmlr.org/tmlr/
TMLR Infinite Conference:
https://tmlr.infinite-conf.org/
HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li Action editor: Matthew Walter
https://openreview.net/forum?id=494k7e9R5D
#hallucination
#hallucinations
#hallucinated
about 3 hours ago
0
0
0
Online Selective Conformal Inference: Errors and Solutions Yusuf Sale, Aaditya Ramdas Action editor: Matthew Holland
https://openreview.net/forum?id=PjIQwFyP07
#coverage
#selection
#calibration
about 7 hours ago
0
0
0
New
#J2C Certification
: Understanding Embedding Scaling in Collaborative Filtering Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin ZHU, Yonghui Yang
https://openreview.net/forum?id=3f5HtLqnaY
#embedding
#scaling
#scale
about 11 hours ago
0
0
0
LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe et al. Action editor: Manzil Zaheer
https://openreview.net/forum?id=3rU1lp9w2l
#distillation
#distill
#knowledge
about 11 hours ago
0
0
0
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified? Olawale Elijah Salaudeen, Nicole Chiou, Shiny Weng, Sanmi Koyejo Action editor: Ozan Sener
https://openreview.net/forum?id=fNywRyqPQo
#robustness
#generalization
#benchmarks
about 15 hours ago
0
0
0
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis Action editor: Blake Richards
https://openreview.net/forum?id=mfmAVwtMIk
#spiking
#neuron
#neurons
about 19 hours ago
0
0
0
Class-wise Generalization Error: an Information-Theoretic analysis Firas Laakom, Moncef Gabbouj, JĂĽrgen Schmidhuber, Yuheng Bu Action editor: Gintare Dziugaite
https://openreview.net/forum?id=asW4VcDFpi
#generalization
#generalizes
#classes
about 23 hours ago
0
0
0
Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data Zijun Cui, Sam Griesemer, Sungyong Seo, Joshua Hikida, Yan Liu Action editor: Mingming Gong
https://openreview.net/forum?id=n3yrVzPcNa
#spatiotemporal
#forecasting
#causal
1 day ago
0
0
0
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Ser... Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo Action editor: Han-Jia Ye
https://openreview.net/forum?id=p3y5q4cvzV
#forecasting
#attention
1 day ago
0
0
0
Setting the Record Straight on Transformer Oversmoothing Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner Action editor: Di He
https://openreview.net/forum?id=HHI6qWLFF1
#transformers
#transformer
#normalization
1 day ago
0
1
0
GMAgent: A Graph-oriented Multi-agent Collaboration Framework for Text-attributed Graph Analysis Hang Lv, Pengxiang Zhan, Yanchao Tan, Zixuan Guo, Shiping Wang, Carl Yang Action editor: Chuxu Zhang
https://openreview.net/forum?id=iBm79eP0ex
#agent
#agents
#collaboration
1 day ago
0
0
0
Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks Anas Jnini, Flavio Vella Action editor: Jean Kossaifi
https://openreview.net/forum?id=GDHVRy6SDd
#gradient
#newton
#sgd
2 days ago
0
0
0
A Bias Correction Mechanism for Distributed Asynchronous Optimization Yuan Gao, Yuki Takezawa, Sebastian U Stich Action editor: Yingbin Liang
https://openreview.net/forum?id=8doMbaah0s
#asyncbc
#asynchronous
#distributed
2 days ago
0
0
0
Data Matters Most: Auditing Social Bias in Contrastive Vision–Language Models Zahraa Al Sahili, Ioannis Patras, Matthew Purver Action editor: Kamalika Chaudhuri
https://openreview.net/forum?id=3vF2fn9owm
#bias
#biases
#face
2 days ago
0
0
0
New
#Survey Certification
: A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh, Guimeng Liu, Touba Malekzadeh et al.
https://openreview.net/forum?id=u7GTHazuRp
#generative
#gans
#models
2 days ago
0
0
0
OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang Action editor: Adina Williams
https://openreview.net/forum?id=SvOYlVa3VK
#deep
#benchmark
#omniinput
2 days ago
0
0
0
AT4TS : Autotune for Time Series Foundation Models Shivani Tomar, Seshu Tirupathi, Radu Marinescu, Elizabeth M. Daly, Ivana Dusparic Action editor: Mingsheng Long
https://openreview.net/forum?id=U54YyLn8MX
#forecasting
#autotuning
#automate
2 days ago
0
0
0
Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents Irene Testini, Lorenzo Pacchiardi, Jose Hernandez-Orallo Action editor: Yonatan Bisk
https://openreview.net/forum?id=MB0TCLfLn1
#automation
#ai
#assistants
3 days ago
0
0
0
Length independent generalization bounds for deep SSM architectures via Rademacher contraction an... Dániel Rácz, Mihaly Petreczky, Balint Daroczy Action editor: Nadav Cohen
https://openreview.net/forum?id=Vo6wHBv07k
#ssm
#blocks
#sequential
3 days ago
0
0
0
Enabling Automatic Differentiation with Mollified Graph Neural Operators Ryan Y. Lin, Julius Berner, Valentin Duruisseaux et al. Action editor: Mingsheng Long
https://openreview.net/forum?id=CGoR1hFAGr
#gradients
#generalization
#differential
3 days ago
0
0
0
Improved Localized Machine Unlearning Through the Lens of Memorization Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis et al. Action editor: Rahaf Aljundi
https://openreview.net/forum?id=zXAVdHYPIB
#unlearning
#memorization
#memorized
3 days ago
0
0
0
Expressiveness of Parametrized Distributions over DAGs for Causal Discovery Simon Rittel, Sebastian Tschiatschek Action editor: Bryon Aragam
https://openreview.net/forum?id=UsJ0H6VJRl
#causal
#bayesian
#supervised
3 days ago
0
1
0
Bi-Mamba: Towards Accurate 1-Bit State Space Model Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen Action editor: Vladimir Braverman
https://openreview.net/forum?id=CKQ4AgoRQm
#memory
#llms
#mamba
3 days ago
0
0
0
AcademicEval: Live Long-Context LLM Benchmark Haozhen Zhang, Tao Feng, Pengrui Han, Jiaxuan You Action editor: Li Dong
https://openreview.net/forum?id=LjQ4voE5bs
#annotation
#academiceval
#context
4 days ago
0
0
0
Meta-Learning Adaptive Loss Functions Christian Raymond, Qi Chen, Bing XUE, Mengjie Zhang Action editor: Ikko Yamane
https://openreview.net/forum?id=o0ODnN0xz8
#adaptive
#adaptively
#loss
4 days ago
0
0
0
Adversarial Bandits Against Arbitrary Strategies Jung-hun Kim, Se-Young Yun Action editor: Yaoliang Yu
https://openreview.net/forum?id=x4QrOh8uCs
#bandits
#bandit
#adversarial
4 days ago
0
0
0
Continual learning via probabilistic exchangeable sequence modelling Hanwen Xing, Christopher Yau Action editor: Magda Gregorova
https://openreview.net/forum?id=fDnAsRUk0F
#forgetting
#continual
#generative
4 days ago
0
0
0
Concept Siever : Towards Controllable Erasure of Concepts from Diffusion Models without Side-effect Aakash Kumar Singh, Priyam Dey, Sribhav Srivatsa, Venkatesh Babu Radhakrishnan Action editor: Zhangyang Wang
https://openreview.net/forum?id=O7zTvlSBZ9
#forgetting
#concepts
#concept
4 days ago
0
0
0
Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget Harsh Vardhan, Arya Mazumdar Action editor: Ilan Shomorony
https://openreview.net/forum?id=AtCKHCoMA7
#compression
#compressed
#compressors
4 days ago
0
0
0
TP‑Blend: Textual‑Prompt Attention Pairing for Precise Object‑Style Blending in Diffusion Models xin jin, Yichuan Zhong, Yapeng Tian Action editor: Nicolas THOME
https://openreview.net/forum?id=q6M73uOBZE
#attention
#blending
#blend
5 days ago
0
0
0
AuToMATo: An Out-Of-The-Box Persistence-Based Clustering Algorithm Marius Huber, Sara Kalisnik Hintz, Patrick Schnider Action editor: Ole Winther
https://openreview.net/forum?id=Qd7H5mAbzV
#clustering
#automato
#topological
5 days ago
0
0
0
Learning Reward Machines from Partially Observed Policies Mohamad Louai Shehab, Antoine Aspeel, Necmiye Ozay Action editor: Jean Honorio
https://openreview.net/forum?id=7bbYYNvhTE
#reinforcement
#reward
#markov
5 days ago
0
0
0
Enhancing Diversity in Text-to-Image Generation without Compromising Fidelity Jiazhi Li, Mi Zhou, Mahyar Khayatkhoei et al. Action editor: Chen Sun
https://openreview.net/forum?id=180S4tOpmx
#diversity
#adaptation
#variations
5 days ago
0
0
0
Step-Controlled DPO: Leveraging Stepwise Errors for Enhancing Mathematical Reasoning of Language ... Zimu Lu, Aojun Zhou, Ke Wang et al. Action editor: Branislav Kveton
https://openreview.net/forum?id=jp1AdIcKTj
#stepwise
#automatically
#step
5 days ago
0
0
0
Teaching Diffusion Models to Ground Alpha Matte Tianyi Xiang, Weiying Zheng, Yutao Jiang et al. Action editor: Lu Jiang
https://openreview.net/forum?id=2gNy9Yeg8J
#matting
#matte
#transparency
5 days ago
0
0
0
Dual Caption Preference Optimization for Diffusion Models Amir Saeidi, Yiran Lawrence Luo, Agneet Chatterjee et al. Action editor: Jia-Bin Huang
https://openreview.net/forum?id=ruZksIJBBd
#captioning
#captions
#caption
6 days ago
0
0
0
Active Prompt Learning with Vision-Language Model Priors Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok Action editor: Erin Grant
https://openreview.net/forum?id=qBeGCzD3Ij
#labeled
#classification
#trained
6 days ago
0
0
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Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representa... Andrey Bochkov Action editor: Francisco Ruiz
https://openreview.net/forum?id=Odh8IynO1o
#embeddings
#embedding
#representational
6 days ago
0
0
0
On Sparsity and Sub-Gaussianity in the Johnson- Lindenstrauss Lemma Aurélien Garivier, Emmanuel Pilliat Action editor: Jean Barbier
https://openreview.net/forum?id=Znaty8V3a3
#lindenstrauss
#sparse
#projections
6 days ago
0
1
0
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach JoĂŁo B. S. Carvalho, VĂctor JimĂ©nez RodrĂguez, Alessandro Torcinovich et al. Action editor: Mohammad Emtiyaz Khan
https://openreview.net/forum?id=Bpc9uZ6kcg
#robustness
#adversarial
#generalization
6 days ago
0
0
0
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model Peter Van Katwyk, Karianne Bergen Action editor: Manuel Haussmann
https://openreview.net/forum?id=xRiEdSyVjY
#hybridflow
#uncertainty
#robust
6 days ago
0
0
0
Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Lea... Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon et al. Action editor: Steffen Udluft
https://openreview.net/forum?id=e9p4TDPy6A
#reinforcement
#offline
#observable
7 days ago
0
0
0
Bags of Projected Nearest Neighbours: Competitors to Random Forests? David P. Hofmeyr Action editor: Andres Masegosa
https://openreview.net/forum?id=ZKLj2U0CsO
#classifiers
#classifier
#forests
7 days ago
0
0
0
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection Tai Le Gia, Jaehyun Ahn Action editor: Satoshi Hara
https://openreview.net/forum?id=o2MRb5QZ34
#anomaly
#anomalies
#codegraph
7 days ago
0
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0
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Rei... Jiacheng Lin, Tian Wang, Kun Qian Action editor: Nino Vieillard
https://openreview.net/forum?id=YBRU9MV2vE
#rec
#generative
#supervised
7 days ago
0
0
0
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng, Marius Lindauer Action editor: Yu Cheng
https://openreview.net/forum?id=Ym2wqojm4e
#forecasting
#architectures
#architecture
7 days ago
0
1
0
Learning to Be Cautious Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai et al. Action editor: Dileep Kalathil
https://openreview.net/forum?id=NXvGOaYExG
#reinforcement
#caution
#cautious
7 days ago
0
0
0
Recurrent Natural Policy Gradient for POMDPs Semih Cayci, Atilla Eryilmaz Action editor: Martha White
https://openreview.net/forum?id=6G01e0vgIf
#rnns
#rnn
#reinforcement
8 days ago
0
1
0
New
#J2C Certification
: TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metad... Namjoon Suh, Yuning Yang, Din-Yin Hsieh et al.
https://openreview.net/forum?id=bkUd1Dg46c
#timeautodiff
#autoencoder
#temporal
8 days ago
0
0
0
Improving Single-round Active Adaptation: A Prediction Variability Perspective Xiaoyang Wang, Yibo Jacky Zhang, Olawale Elijah Salaudeen et al. Action editor: Soma Biswas
https://openreview.net/forum?id=Vthqn5VE7L
#annotating
#adaptation
#annotation
8 days ago
0
0
0
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