Most Cited 2024 "graph-based computation" Papers

Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation

Zhiyu Zhu, Xinyi Wang, Zhibo Jin et al.

Unsupervised Order Learning

Seon-Ho Lee, Nyeong-Ho Shin, Chang-Su Kim

X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks

Zhipeng Qian, Yiwei Ma, Jiayi Ji et al.

Iterative Regularization with K-support Norm: An Important Complement to Sparse Recovery

William de Vazelhes, Bhaskar Mukhoty, Xiaotong Yuan et al.

Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem

Geewon Suh, Gyeongjo Hwang, SeokjunKang et al.

Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems

Bonan Zhang, Chia-Yu Chen, Naveen Verma

Learning GAI-Decomposable Utility Models for Multiattribute Decision Making

Margot Herin, Patrice Perny, Nataliya Sokolovska

‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation

Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati

From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation

Hyeokjun Kweon, Kuk-Jin Yoon

Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension

Mingmin Wu, Yuxue Hu, Yongcheng Zhang et al.

Test-time Adaptation against Multi-modal Reliability Bias

Mouxing Yang, Yunfan Li, Changqing Zhang et al.

Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized

Shomik Jain, Kathleen A. Creel, Ashia Wilson

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following

Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization

Yirui Liu, Xinghao Qiao, Yulong Pei et al.

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds

Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset

Huigen Ye, Hua Xu, Hongyan Wang

PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR

Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu et al.

Do Topological Characteristics Help in Knowledge Distillation?

Jungeun Kim, Junwon You, Dongjin Lee et al.

Batch Normalization Alleviates the Spectral Bias in Coordinate Networks

Zhicheng Cai, Hao Zhu, Qiu Shen et al.

Partially Stochastic Infinitely Deep Bayesian Neural Networks

Sergio Calvo Ordoñez, Matthieu Meunier, Francesco Piatti et al.

Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning

Mohannad Elhamod, Anuj Karpatne

SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer

Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.

Label-Efficient Group Robustness via Out-of-Distribution Concept Curation

Yiwei Yang, Anthony Liu, Robert Wolfe et al.

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

Yang Zou, Xingyuan Li, Zhiying Jiang et al.

msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression

Miaohui Wang, Runnan Huang, Hengjin Dong et al.

The mechanistic basis of data dependence and abrupt learning in an in-context classification task

Gautam Reddy Nallamala

StyLitGAN: Image-Based Relighting via Latent Control

Anand Bhattad, James Soole, David Forsyth

Chain-of-Thought Improves Text Generation with Citations in Large Language Models

Bin Ji, Huijun Liu, Mingzhe Du et al.

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

CFAT: Unleashing Triangular Windows for Image Super-resolution

Abhisek Ray, Gaurav Kumar, Maheshkumar Kolekar

Hypergraph Neural Architecture Search

Wei Lin, Xu Peng, Zhengtao Yu et al.

Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping

Enming Liang, Minghua Chen

How Does Goal Relabeling Improve Sample Efficiency?

Sirui Zheng, Chenjia Bai, Zhuoran Yang et al.

Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling

Zehao Dou, Minshuo Chen, Mengdi Wang et al.

Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds

Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu et al.

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes

Ruiquan Huang, Yuan Cheng, Jing Yang et al.

Box2Poly: Memory

Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text - Xuyang Chen, Dong Wang, Konrad Schindler et al.

Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts

Xiao-Wen Yang, Wen-Da Wei, Jie-Jing Shao et al.

Numerical Accounting in the Shuffle Model of Differential Privacy

Antti Koskela, Antti Honkela, Mikko Heikkilä

Machine Learning

Powered Combinatorial Clock Auction - Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss et al.

Boosting Few

Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.

Attention Decomposition for Cross-Domain Semantic Segmentation

Liqiang He, Sinisa Todorovic

LSTKC: Long Short

Term Knowledge Consolidation for Lifelong Person Re-identification - Kunlun Xu, Xu Zou, Jiahuan Zhou

An improved analysis of per-sample and per-update clipping in federated learning

Bo Li, Xiaowen Jiang, Mikkel N. Schmidt et al.

Interpretable3D: An Ad

Hoc Interpretable Classifier for 3D Point Clouds - Tuo Feng, Ruijie Quan, Xiaohan Wang et al.

Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution

Shanqi Liu, Dong Xing, Pengjie Gu et al.

DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency

Heng Guo, Jieji Ren, Feishi Wang et al.

Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data

Xiong Zhou, Xianming Liu, Hao Yu et al.

Neural Field Classifiers via Target Encoding and Classification Loss

Xindi Yang, Zeke Xie, Xiong Zhou et al.

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs

Xiong Zhou, Xianming Liu, feilong zhang et al.

NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors

Shi-Sheng Huang, Guo Chen, Li-heng Chen et al.

Ensemble Diversity Facilitates Adversarial Transferability

Bowen Tang, Zheng Wang, Yi Bin et al.

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

Mengjie Wu, Jingui Ma, Run Wang et al.

Language Model Detectors Are Easily Optimized Against

Charlotte Nicks, Eric Mitchell, Rafael Rafailov et al.

Learning Only When It Matters: Cost

Aware Long-Tailed Classification - Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye et al.

Structural Fairness-aware Active Learning for Graph Neural Networks

Haoyu Han, Xiaorui Liu, Li Ma et al.

FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds

Keke Tang, Lujie Huang, Weilong Peng et al.

DFD: Distilling the Feature Disparity Differently for Detectors

Kang Liu, Yingyi Zhang, Jingyun Zhang et al.

MICA: Towards Explainable Skin Lesion Diagnosis via Multi

Level Image-Concept Alignment - Yequan Bie, Luyang Luo, Hao Chen

In-Context Unlearning: Language Models as Few-Shot Unlearners

Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju

Talk Funny! A Large

Scale Humor Response Dataset with Chain-of-Humor Interpretation - Yuyan Chen, Yichen Yuan, Panjun Liu et al.

Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs

Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal et al.

KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions

Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki et al.

Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization

Naiyu Yin, Hanjing Wang, Yue Yu et al.

NaMa: Neighbor

Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images - Runqi Meng, Xiao Zhang, Shijie Huang et al.

Transferable Adversarial Attacks for Object Detection Using Object

Aware Significant Feature Distortion - Xinlong Ding, Jiansheng Chen, Hongwei Yu et al.

MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation

Jiaxi Jiang, Paul Streli, Xuejing Luo et al.

Taxonomy Driven Fast Adversarial Training

Kun Tong, Chengze Jiang, Jie Gui et al.

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation

Lianggangxu Chen, Youqi Song, Shaohui Lin et al.

Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks

Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi et al.

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding

Yuanhao Xiong, Long Zhao, Boqing Gong et al.

On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions

Denys Pushkin, Raphaël Berthier, Emmanuel Abbe

Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems

Orren Karniol-Tambour, David Zoltowski, E. Mika Diamanti et al.

Diffusion-Guided Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon, Hoyong Kwon, Jaeseok Jeong et al.

Semantic-Guided Novel Category Discovery

Weishuai Wang, Ting Lei, Qingchao Chen et al.

Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration

Youngjin Oh, Keuntek Lee, Jooyoung Lee et al.

Reward Design for Justifiable Sequential Decision-Making

Aleksa Sukovic, Goran Radanovic

Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining

Yudong Gao, Honglong Chen, Peng Sun et al.

R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization

Kennard Chan, Fayao Liu, Guosheng Lin et al.

Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget

Florian Dorner, Moritz Hardt

Language-aware Visual Semantic Distillation for Video Question Answering

Bo Zou, Chao Yang, Yu Qiao et al.

Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction

Anirudh Buvanesh, Rahul Chand, Jatin Prakash et al.

Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications

Poonam Goyal, Arshveer Kaur, Arvind Ram et al.

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Xueyang Tang, Song Guo, Jingcai Guo et al.

Graphical Multioutput Gaussian Process with Attention

Yijue Dai, Wenzhong Yan, Feng Yin

Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning

Leslie Ching Ow Tiong, Dick Sigmund, Chen-Hui Chan et al.

Dynamic Discounted Counterfactual Regret Minimization

Hang Xu, Kai Li, Haobo Fu et al.

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

Renhong Huang, Jiarong Xu, Xin Jiang et al.

Continual Relation Extraction via Sequential Multi-Task Learning

Thanh-Thien Le, Manh Nguyen, Tung Nguyen et al.

Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack

Sabbir Ahmed, RANYANG ZHOU, Shaahin Angizi et al.

Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model

Hanni Cheng, Ya Cong, Weihao Jiang et al.

Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling

Wonwoong Cho, Hareesh Ravi, Midhun Harikumar et al.

Bootstrapping Large Language Models for Radiology Report Generation

Chang Liu, Yuanhe Tian, Weidong Chen et al.

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation

Faster Approximation of Probabilistic and Distributional Values via Least Squares

Weida Li, Yaoliang Yu

Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving

Sohei Arisaka, Qianxiao Li

Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection

Lianjun Wu, Jiangxiao Han, Zengqiang Zheng et al.

Redefining ABA+ Semantics via Abstract Set-to-Set Attacks

TexFit: Text-Driven Fashion Image Editing with Diffusion Models

Resource-Efficient Transformer Pruning for Finetuning of Large Models

Fatih Ilhan, Gong Su, Selim Tekin et al.

Uncertainty-Aware GAN for Single Image Super Resolution

Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training

Wenjun Li, Pradeep Varakantham

Privacy-Preserving Adaptive Re-Identification without Image Transfer

Hamza Rami, Jhony H. Giraldo, Nicolas Winckler et al.

Patch-Aware Sample Selection for Efficient Masked Image Modeling

Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning

Xianjie Guo, Kui Yu, Lin Liu et al.

Merlin: Empowering Multimodal LLMs with Foresight Minds

En Yu, liang zhao, YANA WEI et al.

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach

Bin Zhang, Hangyu Mao, Lijuan Li et al.

Barely Supervised Learning for Graph-Based Fraud Detection

Hang Yu, Zhengyang Liu, Xiangfeng Luo

EQA-MX: Embodied Question Answering using Multimodal Expression

Md Mofijul Islam, Alexi Gladstone, Riashat Islam et al.

Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication

June Yong Yang, Geondo Park, Joowon Kim et al.

The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline

Haonan Wang, Qianli Shen, Yao Tong et al.

Dynamic Spectral Clustering with Provable Approximation Guarantee

Steinar Laenen, He Sun

Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework

Haonan Huang, Guoxu Zhou, Yanghang Zheng et al.

ROG\_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning

Qin Zhang, Jiexin Lu, Xiaowei Li et al.

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change

Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.

Domain Separation Graph Neural Networks for Saliency Object Ranking

Zijian Wu, Jun Lu, Jing Han et al.

Motion Aware Event Representation-driven Image Deblurring

Zhijing Sun, Xueyang Fu, Longzhuo Huang et al.

Context is Environment

Sharut Gupta, Stefanie Jegelka, David Lopez-Paz et al.

The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning

Tian Jin, Nolan Clement, Xin Dong et al.

General Stability Analysis for Zeroth-Order Optimization Algorithms

Xinyue Liu, Hualin Zhang, Bin Gu et al.

Speech Self-Supervised Learning Using Diffusion Model Synthetic Data

Heting Gao, Kaizhi Qian, Junrui Ni et al.

Periodicity Decoupling Framework for Long-term Series Forecasting

Tao Dai, Beiliang Wu, Peiyuan Liu et al.

Class Incremental Learning with Multi-Teacher Distillation

Haitao Wen, Lili Pan, Yu Dai et al.

Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures

Yulong Wang

TOSS: High-quality Text-guided Novel View Synthesis from a Single Image

Yukai Shi, Jianan Wang, He CAO et al.

Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery

Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert et al.

Parameter Efficient Self-Supervised Geospatial Domain Adaptation

Linus Scheibenreif, Michael Mommert, Damian Borth

Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction

Shangjian Yin, Peijie Huang, Yuhong Xu

Information-Directed Pessimism for Offline Reinforcement Learning

Alec Koppel, Sujay Bhatt, Jiacheng Guo et al.

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang et al.

Partial Optimality in the Linear Ordering Problem

David Stein, Bjoern Andres

PeVL: Pose-Enhanced Vision-Language Model for Fine-Grained Human Action Recognition

Haosong Zhang, Mei Leong, Liyuan Li et al.

Differentially Private Domain Adaptation with Theoretical Guarantees

Raef Bassily, Corinna Cortes, Anqi Mao et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

Liang He, Yunan Lu, Weiwei Li et al.

Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents

MENGJUN CHENG, Chengquan Zhang, Chang Liu et al.

Decoupled Optimisation for Long-Tailed Visual Recognition

Cong Cong, Shiyu Xuan, Sidong Liu et al.

Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data

Ayesha Vermani, Il Memming Park, Josue Nassar

Box Facets and Cut Facets of Lifted Multicut Polytopes

Lucas Fabian Naumann, Jannik Irmai, Shengxian Zhao et al.

Improving Computational Complexity in Statistical Models with Local Curvature Information

Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo et al.

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Tianpei Yang, Heng You, Jianye Hao et al.

Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks

Kesen Zhao, Liang Zhang

MPOD123: One Image to 3D Content Generation Using Mask-enhanced Progressive Outline-to-Detail Optimization

Jimin Xu, Tianbao Wang, Tao Jin et al.

Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline

Yu chen, Fei Gao, YanguangZhang et al.

Generalization Analysis of Deep Non-linear Matrix Completion

Antoine Ledent, Rodrigo Alves

Coeditor: Leveraging Repo-level Diffs for Code Auto-editing

Jiayi Wei, Greg Durrett, Isil Dillig

R2E: Turning any Github Repository into a Programming Agent Environment

Naman Jain, Manish Shetty Molahalli, Tianjun Zhang et al.

Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning

Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

Enhancing Instance-Level Image Classification with Set-Level Labels

Renyu Zhang, Aly Khan, Yuxin Chen et al.

Consistent Multi-Class Classification from Multiple Unlabeled Datasets

Zixi Wei, Senlin Shu, Yuzhou Cao et al.

BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering

Xinmin Qiu, Congying Han, Zicheng Zhang et al.

Dirichlet Flow Matching with Applications to DNA Sequence Design

Hannes Stärk, Bowen Jing, Chenyu Wang et al.

Reward Shaping for Reinforcement Learning with An Assistant Reward Agent

Haozhe Ma, Kuankuan Sima, Thanh Vinh Vo et al.

SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation

Sayan Nag, Koustava Goswami, Srikrishna Karanam

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model

Linmei Hu, Hongyu He, Duokang Wang et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

MAD-DR: Map Compression for Visual Localization with Matchness Aware Descriptor Dimension Reduction

Qiang Wang

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs

Lu Bai, Lixin Cui, Ming Li et al.

Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms

Hiren Madhu, Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri

Regularized Q-learning through Robust Averaging

Peter Schmitt-Förster, Tobias Sutter

Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities

Stephen Zhang, Vardan Papyan

Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling

Yuanbang Liang, Jing Wu, Yu-Kun Lai et al.

Disentangled Partial Label Learning

Wei-Xuan Bao, Yong Rui, Min-Ling Zhang

LLM as Copilot for Coarse-grained Vision-and-Language Navigation

Yanyuan Qiao, Qianyi Liu, Jiajun Liu et al.

Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining

Florian Tramer, Gautam Kamath, Nicholas Carlini

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning

Jinshan Zeng, Xianchao Tong, Xianglong Yu et al.

Physically Plausible Color Correction for Neural Radiance Fields

Qi Zhang, Ying Feng, HONGDONG LI

Position: Automatic Environment Shaping is the Next Frontier in RL

Younghyo Park, Gabriel Margolis, Pulkit Agrawal

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning

Hongye Jin, Xiaotian Han, Jingfeng Yang et al.

Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution

Wenqian Dong, Yang Xu, Jiahui Qu et al.

Real3D the Curious Case of Neural Scene Degeneration

Dengsheng Chen, Jie Hu, Xiaoming Wei et al.

READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning

Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.

Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation

Jae-Hong Lee, Joon-Hyuk Chang

No Internal Regret with Non-convex Loss Functions

Towards Epistemic-Doxastic Planning with Observation and Revision

Thorsten Engesser, Andreas Herzig, Elise Perrotin

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

Look-Up Table Compression for Efficient Image Restoration

Yinglong Li, Jiacheng Li, Zhiwei Xiong

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging

Liya Ji, ZheFan Rao, Sinno Jialin Pan et al.

Ameliorate Spurious Correlations in Dataset Condensation

Jiaxing Cui, Ruochen Wang, Yuanhao Xiong et al.

MaxQ: Multi-Axis Query for N:M Sparsity Network

Jingyang Xiang, Siqi Li, Junhao Chen et al.

Large Scale Dataset Distillation with Domain Shift

Noel Loo, Alaa Maalouf, Ramin Hasani et al.

SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images

Weihao Cheng, Yan-Pei Cao, Ying Shan

Collaborative Tooth Motion Diffusion Model in Digital Orthodontics

Yeying Fan, Guangshun Wei, Chen Wang et al.

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets

Yuan-Hong Liao, David Acuna, Rafid Mahmood et al.

CoVR: Learning Composed Video Retrieval from Web Video Captions

Lucas Ventura, Antoine Yang, Cordelia Schmid et al.

A Direct Approach to Viewing Graph Solvability

Federica Arrigoni, Andrea Fusiello, Tomas Pajdla

Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks

Manyuan Zhang, Guanglu Song, Xiaoyu Shi et al.

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

Heejo Kong, Suneung Kim, Ho-Joong Kim et al.

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series

Asterios Tsiourvas, Wei Sun, Georgia Perakis et al.

Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?

Megan Richards, Polina Kirichenko, Diane Bouchacourt et al.

Switching the Loss Reduces the Cost in Batch Reinforcement Learning

Alex Ayoub, Kaiwen Wang, Vincent Liu et al.

Sampling-based Multi-dimensional Recalibration

Youngseog Chung, Ian Char, Jeff Schneider

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

Junao Shen, Kun Kuang, Jiaheng Wang et al.