Most Cited ICLR "generalization curves" Papers
6,124 papers found • Page 9 of 31
Conference
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Kang Liao, Zongsheng Yue, Zhouxia Wang et al.
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang, Ricardo Campello, Sarah Erfani et al.
Deep Linear Probe Generators for Weight Space Learning
Jonathan Kahana, Eliahu Horwitz, Imri Shuval et al.
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
Kiyoung Seong, Seonghyun Park, Seonghwan Kim et al.
(Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning
Margaret Li, Sneha Kudugunta, Luke Zettlemoyer
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
Zhong Zheng, Haochen Zhang, Lingzhou Xue
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Zirui Zhang, Wei Hao, Aroon Sankoh et al.
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
Hossein Mirzaei Sadeghlou, Mackenzie Mathis
Realistic Evaluation of Deep Partial-Label Learning Algorithms
Wei Wang, Dong-Dong Wu, Jindong Wang et al.
Group Distributionally Robust Dataset Distillation with Risk Minimization
Saeed Vahidian, Mingyu Wang, Jianyang Gu et al.
Node-Time Conditional Prompt Learning in Dynamic Graphs
Xingtong Yu, Zhenghao Liu, Xinming Zhang et al.
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Alaa Saade, Steven Kapturowski, Daniele Calandriello et al.
SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement
Yuqi Lin, Hengjia Li, Wenqi Shao et al.
Test-time Adaptation for Cross-modal Retrieval with Query Shift
Haobin Li, Peng Hu, Qianjun Zhang et al.
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Qining Zhang, Lei Ying
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun et al.
Random-Set Neural Networks
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang et al.
Controllable Generation via Locally Constrained Resampling
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
ADIFF: Explaining audio difference using natural language
Soham Deshmukh, Shuo Han, Rita Singh et al.
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich, Tim Jahn, Michael Quellmalz
Adaptive Window Pruning for Efficient Local Motion Deblurring
Haoying Li, Jixin Zhao, Shangchen Zhou et al.
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation
Wenhui Tan, Boyuan Li, Chuhao Jin et al.
TASAR: Transfer-based Attack on Skeletal Action Recognition
Yunfeng Diao, Baiqi Wu, Ruixuan Zhang et al.
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
Lili Zhao, Yang Wang, Qi Liu et al.
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
Koichi Saito, Dongjun Kim, Takashi Shibuya et al.
MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge
yuntao du, Kailin Jiang, Zhi Gao et al.
Fourier Sliced-Wasserstein Embedding for Multisets and Measures
Tal Amir, Nadav Dym
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
Sachin Goyal, Christina Baek, Zico Kolter et al.
RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
Shilin Xu, Haobo Yuan, Qingyu Shi et al.
Progressive Compositionality in Text-to-Image Generative Models
Xu Han, Linghao Jin, Xiaofeng Liu et al.
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun, Donghao Zhang, Zongyuan Ge et al.
Diffusion Models as Cartoonists: The Curious Case of High Density Regions
Rafał Karczewski, Markus Heinonen, Vikas Garg
Solving Video Inverse Problems Using Image Diffusion Models
Taesung Kwon, Jong Chul YE
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu, Louis McConnell, Claudia Iriondo
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
Zhao Song, Mingquan Ye, Junze Yin et al.
Equivariant Matrix Function Neural Networks
Ilyes Batatia, Lars Leon Schaaf, Gábor Csányi et al.
ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
Serin Yang, Taesung Kwon, Jong Chul YE
Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
Zirun Guo, Tao Jin
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
Bolun Sun, Yifan Zhou, Haiyun Jiang
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur, Erik Jenner, Stuart Russell
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
Jingsheng Gao, Linxu Li, Ke Ji et al.
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
Ni Zhang, Jingfeng Yang, Zhiguang Cao et al.
Aligned Better, Listen Better for Audio-Visual Large Language Models
Yuxin Guo, Shuailei Ma, Shijie Ma et al.
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
Lichang Chen, Hexiang Hu, Mingda Zhang et al.
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
Hanzhu Chen, Xu Shen, Jie Wang et al.
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li, Yuan Gao, Jinda Lu et al.
Bundle Neural Network for message diffusion on graphs
Jacob Bamberger, Federico Barbero, Xiaowen Dong et al.
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
Laurin Lux, Alexander H Berger, Alexander Weers et al.
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation
Matan Rusanovsky, Or Hirschorn, Shai Avidan
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho et al.
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths
A General Framework for Producing Interpretable Semantic Text Embeddings
Yiqun Sun, Qiang Huang, Yixuan Tang et al.
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
Jie Liu, Pan Zhou, Yingjun Du et al.
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Zhiyu Mei, Wei Fu, Jiaxuan Gao et al.
STAR: Synthesis of Tailored Architectures
Armin Thomas, Rom Parnichkun, Alexander Amini et al.
Distilling Structural Representations into Protein Sequence Models
Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao et al.
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne et al.
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Alan Amin, Nate Gruver, Yilun Kuang et al.
Episodic Memories Generation and Evaluation Benchmark for Large Language Models
Alexis Huet, Zied Houidi, Dario Rossi
Chain-of-region: Visual Language Models Need Details for Diagram Analysis
Xue Li, Yiyou Sun, Wei Cheng et al.
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester, Ernst Roell, Daniel Bin Schmid et al.
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia et al.
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu, Luping Ji, Jiaxiang Gou et al.
Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios
Li Huaqiu, HuXiaowan, Haoqian Wang
Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning
Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
Xinyu He, Dongqi Fu, Hanghang Tong et al.
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han, Akiko Eriguchi, Haoran Xu et al.
On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth
Gennadiy Averkov, Christopher Hojny, Maximilian Merkert
Differentially Private Steering for Large Language Model Alignment
Anmol Goel, Yaxi Hu, Iryna Gurevych et al.
SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning
Minjun Kim, Jongjin Kim, U Kang
QERA: an Analytical Framework for Quantization Error Reconstruction
Cheng Zhang, Jeffrey T. H. Wong, Can Xiao et al.
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo, Philippe Schwaller
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
Fanhu Zeng, Zhen Cheng, Fei Zhu et al.
SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
Donglei Yu, Yang Zhao, Jie Zhu et al.
Rethinking the role of frames for SE(3)-invariant crystal structure modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi et al.
TopoDiffusionNet: A Topology-aware Diffusion Model
Saumya Gupta, Dimitris Samaras, Chao Chen
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
Can Jin, Ying Li, Mingyu Zhao et al.
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
Yatai Ji, Shilong Zhang, Jie Wu et al.
As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters
Margret Keuper, Julia Grabinski, Janis Keuper
Data Unlearning in Diffusion Models
Silas Alberti, Kenan Hasanaliyev, Manav Shah et al.
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
Danni Yuan, Mingda Zhang, Shaokui Wei et al.
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
Jinwei Yao, Kaiqi Chen, Kexun Zhang et al.
Multimodal Quantitative Language for Generative Recommendation
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang et al.
Object-Centric Learning with Slot Mixture Module
Daniil Kirilenko, Vitaliy Vorobyov, Aleksey Kovalev et al.
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
Joey Hong, Anca Dragan, Sergey Levine
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu et al.
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
Yang Qin, Chao Chen, Zhihang Fu et al.
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning
Gangwei Jiang, caigao jiang, Zhaoyi Li et al.
On Harmonizing Implicit Subpopulations
Feng Hong, Jiangchao Yao, YUEMING LYU et al.
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
Wenyue Hua, Mengting Wan, JAGANNATH VADREVU et al.
Beware of Calibration Data for Pruning Large Language Models
Yixin Ji, Yang Xiang, Juntao Li et al.
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng, Yize Zhao, Vala Vakilian et al.
Sparse Learning for State Space Models on Mobile
Xuan Shen, Hangyu Zheng, Yifan Gong et al.
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
Xinyu Ma, Yifeng Xu, Yang Lin et al.
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
Taishi Nakamura, Takuya Akiba, Kazuki Fujii et al.
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Hao (Mark) Chen, Fuwen Tan, Alexandros Kouris et al.
Mitigating Memorization in Language Models
Mansi Sakarvadia, Aswathy Ajith, Arham Khan et al.
Near, far: Patch-ordering enhances vision foundation models' scene understanding
Valentinos Pariza, Mohammadreza Salehi, Gertjan J Burghouts et al.
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
Severi Rissanen, Markus Heinonen, Arno Solin
RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection
Jingtong Yue, Zhiwei Lin, Xin Lin et al.
NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
Mehak Dhaliwal, Andong Hua, Laya Pullela et al.
X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
Yichen Xie, Chenfeng Xu, Chensheng Peng et al.
Human Simulacra: Benchmarking the Personification of Large Language Models
Qiujie Xie, Qiming Feng, Tianqi Zhang et al.
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation
Trung X. Pham, Tri Ton, Chang Yoo
How new data permeates LLM knowledge and how to dilute it
Chen Sun, Renat Aksitov, Andrey Zhmoginov et al.
TabWak: A Watermark for Tabular Diffusion Models
Chaoyi Zhu, Jiayi Tang, Jeroen Galjaard et al.
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller, Kathrin Gruber, Dennis Fok
Implicit In-context Learning
Zhuowei Li, Zihao Xu, Ligong Han et al.
A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention
Heejun Lee, Geon Park, Youngwan Lee et al.
REvolve: Reward Evolution with Large Language Models using Human Feedback
RISHI HAZRA, Alkis Sygkounas, Andreas Persson et al.
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat, Artavazd Maranjyan, Peter Richtarik
Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
Xin Gu, Yaojie Shen, Chenxi Luo et al.
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG et al.
Federated Domain Generalization with Data-free On-server Matching Gradient
Binh Nguyen, Minh-Duong Nguyen, Jinsun Park et al.
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, yiqing li, Susan Wei et al.
Composing Unbalanced Flows for Flexible Docking and Relaxation
Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li, Zaishuo Xia, Lin Huang et al.
Conformal Prediction Sets Can Cause Disparate Impact
Jesse Cresswell, Bhargava Kumar, Yi Sui et al.
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Xueyang Tang, Song Guo, Jie ZHANG et al.
Compositional simulation-based inference for time series
Manuel Gloeckler, Shoji Toyota, Kenji Fukumizu et al.
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu, Qi Zeng, Gagandeep Singh
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction
Guillaume Bono, Leonid Antsfeld, Assem Sadek et al.
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach, Stephan Alaniz, Yiran Huang et al.
A transfer learning framework for weak to strong generalization
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee et al.
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl et al.
fairret: a Framework for Differentiable Fairness Regularization Terms
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
Can Textual Gradient Work in Federated Learning?
Minghui Chen, Ruinan Jin, Wenlong Deng et al.
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Samuel Pegg, Kai Li, Xiaolin Hu
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
Longrong Yang, Dong Shen, Chaoxiang Cai et al.
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao et al.
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom, Sangyoon Lee, Jaeho Lee
Expected Sliced Transport Plans
Xinran Liu, Rocio Diaz Martin, Yikun Bai et al.
Sensor-Invariant Tactile Representation
Harsh Gupta, Yuchen Mo, Shengmiao Jin et al.
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
Yifei Zhou, Ayush Sekhari, Yuda Song et al.
Querying Easily Flip-flopped Samples for Deep Active Learning
Seong Jin Cho, Gwangsu Kim, Junghyun Lee et al.
DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding
Henry Zheng, Hao Shi, Qihang Peng et al.
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Junpeng Yue, Xinrun Xu, Börje F. Karlsson et al.
Fair Submodular Cover
Wenjing Chen, Shuo Xing, Samson Zhou et al.
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Zijia Zhao, Longteng Guo, Jie Cheng et al.
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
Arman Isajanyan, Artur Shatveryan, David Kocharian et al.
DataMan: Data Manager for Pre-training Large Language Models
Ru Peng, Kexin Yang, Yawen Zeng et al.
A Meta-Learning Approach to Bayesian Causal Discovery
Anish Dhir, Matthew Ashman, James Requeima et al.
The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
Floriano Tori, Vincent Holst, Vincent Ginis
On the Limitations of Temperature Scaling for Distributions with Overlaps
Muthu Chidambaram, Rong Ge
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Florian Grötschla, Joël Mathys, Róbert Veres et al.
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
Avery Ma, Yangchen Pan, Amir-massoud Farahmand
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
Tai Hoang, Huy Le, Philipp Becker et al.
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran et al.
Uncertainty-aware Graph-based Hyperspectral Image Classification
Linlin Yu, Yifei Lou, Feng Chen
Neural Auto-designer for Enhanced Quantum Kernels
Cong Lei, Yuxuan Du, Peng Mi et al.
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
Kai Li, Wendi Sang, Chang Zeng et al.
Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung
Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
Paria Rashidinejad, Yuandong Tian
Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
Chongyi Zheng, Jens Tuyls, Joanne Peng et al.
Gumbel Counterfactual Generation From Language Models
Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson et al.
Sharpness-Aware Minimization: General Analysis and Improved Rates
Dimitris Oikonomou, Nicolas Loizou
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou et al.
DELIFT: Data Efficient Language model Instruction Fine-Tuning
Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa et al.
Attributing Culture-Conditioned Generations to Pretraining Corpora
Huihan Li, Arnav Goel, Keyu He et al.
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
Wonje Choi, Jinwoo Park, Sanghyun Ahn et al.
BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
Parsa Vahidi, Omid G. Sani, Maryam Shanechi
CTSyn: A Foundation Model for Cross Tabular Data Generation
Xiaofeng Lin, Chenheng Xu, Matthew Yang et al.
Layerwise Recurrent Router for Mixture-of-Experts
Zihan Qiu, Zeyu Huang, Shuang Cheng et al.
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
Zijing Shi, Meng Fang, Ling Chen
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
adil kaan akan, Yucel Yemez
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
Tianchun Wang, Yuanzhou Chen, Zichuan Liu et al.
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li, Xiyuan Wang, Shijia Kang et al.
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
Jialong Chen, Bowen Deng, Zhen WANG et al.
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
Ulyana Piterbarg, Lerrel Pinto, Rob Fergus
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation
Yangtao Chen, Zixuan Chen, Junhui Yin et al.
Multi-Modal and Multi-Attribute Generation of Single Cells with CFGen
Alessandro Palma, Till Richter, Hanyi Zhang et al.
DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
Yuanpei Liu, Kai Han
Towards hyperparameter-free optimization with differential privacy
Ruixuan Liu, Zhiqi Bu
Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
Sung Woong Cho, Hwijae Son
Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
Nadav Timor, Jonathan Mamou, Daniel Korat et al.
Context-aware Dynamic Pruning for Speech Foundation Models
Masao Someki, Yifan Peng, Siddhant Arora et al.
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
Sravanti Addepalli, Yerram Varun, Arun Suggala et al.
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim H Lee
Learning Chaos In A Linear Way
Xiaoyuan Cheng, Yi He, Yiming Yang et al.
Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
Haotian Wu, Gongpu Chen, Deniz Gunduz
S4M: S4 for multivariate time series forecasting with Missing values
Jing Peng, Meiqi Yang, Qiong Zhang et al.
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
Guoxuan Xia, Olivier Laurent, Gianni Franchi et al.
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
Shuo Li, Tao Ji, Xiaoran Fan et al.
SMT: Fine-Tuning Large Language Models with Sparse Matrices
Haoze He, Juncheng Li, Xuan Jiang et al.
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
Sayan Banerjee, Krishna Balasubramanian, PROMIT GHOSAL
Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval
Yue Wu, Zhaobo Qi, Yiling Wu et al.
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
Jinhao Jiang, Junyi Li, Xin Zhao et al.
On the Transfer of Object-Centric Representation Learning
Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal et al.
Transformers Learn Low Sensitivity Functions: Investigations and Implications
Bhavya Vasudeva, Deqing Fu, Tianyi Zhou et al.
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee, Jinwook Jung, Sungyong Baik
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
Lei Chen, Joan Bruna, Alberto Bietti
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka et al.
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan FANG, Aixin Tan, Jian Huang
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Yong Liu, (Andrew) Zhanke Zhou, Zhicong Li et al.
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Aaron Spieler, Nasim Rahaman, Georg Martius et al.
AnoLLM: Large Language Models for Tabular Anomaly Detection
Che-Ping Tsai, Ganyu Teng, Phillip Wallis et al.
Dense Video Object Captioning from Disjoint Supervision
Xingyi Zhou, Anurag Arnab, Chen Sun et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman