Most Cited 2024 "nonlinear convolution" Papers

Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks

David Bell, Yujie Lu, Shinda Huang et al.

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning

Dashan Gao, Sheng Wan, Lixin Fan et al.

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.

Bayesian Regret Minimization in Offline Bandits

Marek Petrik, Guy Tennenholtz, Mohammad Ghavamzadeh

Easing 3D Pattern Reasoning with Side-view Features for Semantic Scene Completion

Linxi Huan, Mingyue Dong, Linwei Yue et al.

Transport of Algebraic Structure to Latent Embeddings

Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

Structure-Aware Multimodal Sequential Learning for Visual Dialog

Youngjin Kim, Min-Jun Kim, Kyunghwan An et al.

Detecting Influence Structures in Multi-Agent Reinforcement Learning

Fabian Raoul Pieroth, Katherine Fitch, Lenz Belzner

GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING

DINGYUAN SHI, Yongxin Tong, Zimu Zhou et al.

Content Filtering with Inattentive Information Consumers

Justin Grana, Alex Slivkins, Brendan Lucier et al.

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling

Vittorio Bilò, Cosimo Vinci

Optimal Quasi-clique: Hardness, Equivalence with Densest-$k$-Subgraph, and Quasi-partitioned Community Mining

Aritra Konar, Nicholas Sidiropoulos

Learning Multiple Secrets in Mastermind

Milind Prabhu, David Woodruff

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention

Xue Wen, Lianxin Xie, Le Jiang et al.

Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling

Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy

Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation

Yuanhao Pu, Xiaolong Chen, Xu Huang et al.

Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images

Bin Pu, Xingguo Lv, Jiewen Yang et al.

On the Effect of Batch Size in Byzantine-Robust Distributed Learning

Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification

Xin Tan, Ce Zhao, Chengliang Liu et al.

ByMI: Byzantine Machine Identification with False Discovery Rate Control

Chengde Qian, Mengyuan Wang, Haojie Ren et al.

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation

Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang et al.

DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance

Yun Zhong, Yiannis Demiris

ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision

Congyu Qiao, Ning Xu, Yihao Hu et al.

Assessment via Transformer Text Prompting

Neural Embeddings for kNN Search in Biological Sequence

Zhihao Chang, Linzhu Yu, Yanchao Xu et al.

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models

Juntu Zhao, Junyu Deng, Yixin Ye et al.

Feasible Reachable Policy Iteration

Shentao Qin, Yujie Yang, Yao Mu et al.

Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization

yunzuo zhang, Yameng Liu

Generalizing to Unseen Domains via Text-guided Augmentation

Daiqing Qi, Handong Zhao, Aidong Zhang et al.

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

Qiming Liu, Xiang Ao, Yuyao Guo et al.

GLOW: Global Layout Aware Attacks on Object Detection

Jun Bao, Buyu Liu, Kui Ren et al.

Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events

Wen Yang, Jinjian Wu, Jupo Ma et al.

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration

Zhe Wu, Haofei Lu, Junliang Xing et al.

Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation

Guorui Quan, Zhiqiang Xu, Guiliang Liu

Multiply-Robust Causal Change Attribution

Víctor Quintas-Martínez, Mohammad Bahadori, Eduardo Santiago et al.

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models

Kun Zhang, Jiali Zeng, Fandong Meng et al.

Federated Text-driven Prompt Generation for Vision-Language Models

Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi et al.

Automated Defect Report Generation for Enhanced Industrial Quality Control

Jiayuan Xie, Zhiping Zhou, Zihan Wu et al.

Information Bottleneck Based Data Correction in Continual Learning

Shuai Chen, mingyi zhang, Junge Zhang et al.

Position: The Reasonable Person Standard for AI

Sunayana Rane

Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme

Jintae Kim, Seungwon Yang, Seong-Gyun Jeong et al.

A Computation-Aware Shape Loss Function for Point Cloud Completion

Shunran Zhang, Xiubo Zhang, Tsz Nam Chan et al.

Fair Federated Learning via the Proportional Veto Core

Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan et al.

Towards Molecular Structure Discovery from Cryo-ET Density Volumes via Modelling Auxiliary Semantic Prototypes

Ashwin Nair, Xingjian Li, Mostofa Rafid Uddin et al.

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules

Weijieying Ren, Xiaoting Li, Huiyuan Chen et al.

Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang et al.

CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model

Milong Ren, Tian Zhu, Haicang Zhang

Combining Axes Preconditioners through Kronecker Approximation for Deep Learning

Venkata Sai Surya Subramanyam Duvvuri, Fnu Devvrit, Rohan Anil et al.

Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks

Zach Robertson, Sanmi Koyejo

FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning

Mingkun Yang, Ran Zhu, Qing Wang et al.

On the Sample Complexity of Lipschitz Constant Estimation

Stephen Roberts, Julien Huang, Jan-Peter Calliess

Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning

Esther Rolf, Konstantin Klemmer, Caleb Robinson et al.

DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images

Mingxin Yi, Kai Zhang, Pei Liu et al.

Position: Application-Driven Innovation in Machine Learning

David Rolnick, Alan Aspuru-Guzik, Sara Beery et al.

Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers

Tingting Chen, Beibei Lin, Yeying Jin et al.

Modelling Microbial Communities with Graph Neural Networks

Albane Ruaud, Cansu Sancaktar, Marco Bagatella et al.

Position: Amazing Things Come From Having Many Good Models

Cynthia Rudin, Chudi Zhong, Lesia Semenova et al.

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability

Zehao Dong, Muhan Zhang, Philip Payne et al.

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem

Qian Chen, Taolin Zhang, Dongyang Li et al.

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

Robustness Preserving Fine-tuning using Neuron Importance

Guangrui Li, Rahul Duggal, Aaditya Singh et al.

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

Xiao Yun, Chenglong Xu, Kevin Riou et al.

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization

Anke Tang, Li Shen, Yong Luo et al.

A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures

Tahmina Khanam, Mohammed Bennamoun, Guan Wang et al.

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

End-to-End Verification for Subgraph Solving

Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning

Peizhong Ju, Arnob Ghosh, Ness Shroff

A Unified Environmental Network for Pedestrian Trajectory Prediction

Guoqing Chao, Yi Jiang, Dianhui Chu

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures

Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun et al.

Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees

Robin Kenis, Emanuel Laude, Panagiotis Patrinos

$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity

Cristian Meo, Louis Mahon, Anirudh Goyal et al.

Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment

Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.

CAS: A Probability-Based Approach for Universal Condition Alignment Score

Chunsan Hong, ByungHee Cha, Tae-Hyun Oh

On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection

Chaohua Shi, Kexin Huang, Lu Gan et al.

Bayesian Adaptation of Network Depth and Width for Continual Learning

Jeevan Thapa, Rui Li

SEED-Bench: Benchmarking Multimodal Large Language Models

Bohao Li, Yuying Ge, Yixiao Ge et al.

A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton

Vidya Sagar Sharma

ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks

Andrea Rosasco, Stefano Berti, Giulia Pasquale et al.

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models

Sheng Shen, Le Hou, Yanqi Zhou et al.

Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models

Amrith Setlur, Saurabh Garg, Virginia Smith et al.

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction

Jiaxin Huang, Qi Wu, Yazhou Ren et al.

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.

10491 Multi-Granularity Causal Structure Learning

Tianyi Chu, Wei Xing, Jiafu Chen et al.

On Multi-Armed Bandit with Impatient Arms

Yuming Shao, Zhixuan Fang

5602 Consistency-GAN: Training GANs with Consistency Model

Yunpeng Wang, Meng Pang, Shengbo Chen et al.

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation

Jiyang Zheng, Yu Yao, Bo Han et al.

6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning

Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.

2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Junwei He, Qianqian Xu, Yangbangyan Jiang et al.

11879 Distributional Off-Policy Evaluation for Slate Recommendations

Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.

Position: Do pretrained Transformers Learn In-Context by Gradient Descent?

Lingfeng Shen, Aayush Mishra, Daniel Khashabi

8318 Optimal Transport with Tempered Exponential Measures

Ehsan Amid, Frank Nielsen, Richard Nock et al.

10783 The Complexity of Optimizing Atomic Congestion

Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram et al.

IIRP-Net: Iterative Inference Residual Pyramid Network for Enhanced Image Registration

Tai Ma, zhangsuwei, Jiafeng Li et al.

LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies

Jia Shi, Gautam Rajendrakumar Gare, Jinjin Tian et al.

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

Yufei Huang, Siyuan Li, Lirong Wu et al.

780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization

Jiaying Zhu, Dong Li, Xueyang Fu et al.

Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data

Sneha Paul, Zachary Patterson, Nizar Bouguila

HVCLIP: High-dimensional Vector in CLIP for Unsupervised Domain Adaptation

Noranart Vesdapunt, Kah Kuen Fu, Yue Wu et al.

Statistical Test for Attention Maps in Vision Transformers

Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka et al.

8284 Federated X-armed Bandit

Wenjie Li, Qifan Song, Jean Honorio et al.

Neural Polynomial Gabor Fields for Macro Motion Analysis

Chen Geng, Koven Yu, Sida Peng et al.

3752 Decoupled Textual Embeddings for Customized Image Generation

Yufei Cai, Yuxiang Wei, Zhilong Ji et al.

12181 What Do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning

Caleb Schultz Kisby, Saúl Blanco, Larry Moss

Deletion-Anticipative Data Selection with a Limited Budget

Rachael Hwee Ling Sim, Jue Fan, Xiao Tian et al.

Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning

Pehuen Moure, Longbiao Cheng, Joachim Ott et al.

964 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features

Neha Kalibhat, Kanika Narang, Hamed Firooz et al.

Byzantine Resilient and Fast Federated Few-Shot Learning

Ankit Pratap Singh, Namrata Vaswani

Parallelized Spatiotemporal Slot Binding for Videos

Gautam Singh, Yue Wang, Jiawei Yang et al.

1066 Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

Yihan Chen, Benfeng Xu, Quan Wang et al.

BrainLM: A foundation model for brain activity recordings

Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Rizvi et al.

Robust Noisy Correspondence Learning with Equivariant Similarity Consistency

Yuchen Yang, Erkun Yang, Likai Wang et al.

Probabilistic Modeling of Interpersonal Coordination Processes

Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy et al.

Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?

Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou et al.

Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction

Mi-Gyeong Gwon, Gi-Mun Um, Won-Sik Cheong et al.

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency

Hao Zhang, Xuhui Zuo, Huabing Zhou et al.

Delving into Adversarial Robustness on Document Tampering Localization

Huiru Shao, Zhuang Qian, Kaizhu Huang et al.

OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos

Ziyang Song, Jinxi Li, Bo Yang

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation

Jinxi Xiang, Ricong Huang, Jun Zhang et al.

Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice

Xiayu Wang, Ke Ma, Ruiyun Zhong et al.

WBP: Training-time Backdoor Attacks through Hardware-based Weight Bit Poisoning

Kunbei Cai, Zhenkai Zhang, Qian Lou et al.

COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark

Atsushi Hashimoto, Koki Maeda, Tosho Hirasawa et al.

Position: A Roadmap to Pluralistic Alignment

Taylor Sorensen, Jared Moore, Jillian Fisher et al.

Learning to Distinguish Samples for Generalized Category Discovery

Fengxiang Yang, Pu Nan, Wenjing Li et al.

Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design

Hannes Stärk, Bowen Jing, Regina Barzilay et al.

Loc3Diff: Local Diffusion for 3D Human Head Synthesis and Editing

Yushi Lan, Feitong Tan, Qiangeng Xu et al.

QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning

Gabriel Stella, Dmitri Loguinov

MRFS: Mutually Reinforcing Image Fusion and Segmentation

HAO ZHANG, Xuhui Zuo, Jie Jiang et al.

TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance

Guoxing Zhang, Yiming Liu, xiaoyu yang et al.

Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks

Suhwan Choi, Myeongho Jeon, Yeonjung Hwang et al.

Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints

Francesco Emanuele Stradi, Jacopo Germano, Gianmarco Genalti et al.

Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models

Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya et al.

L0-Sampler: An L0 Model Guided Volume Sampling for NeRF

Liangchen Li, Juyong Zhang

Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas

Clément Pierquin, Aurélien Bellet, Marc Tommasi et al.

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding

Xiao Long, Liansheng Zhuang, Aodi Li et al.

Kernelised Normalising Flows

Eshant English, Matthias Kirchler, Christoph Lippert

All You Need is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation

Seongho Kim, Byung Cheol Song

Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning

Shuo He, Chaojie Wang, Guowu Yang et al.

Simplicity Bias in Overparameterized Machine Learning

Online Adaptive Anomaly Thresholding with Confidence Sequences

Sophia Sun, Abishek Sankararaman, Balakrishnan Narayanaswamy

Learning Graph Representation via Graph Entropy Maximization

Ziheng Sun, Xudong Wang, Chris Ding et al.

Curvature-Invariant Adversarial Attacks for 3D Point Clouds

Jianping Zhang, Wenwei Gu, Yizhan Huang et al.

Regression Learning with Limited Observations of Multivariate Outcomes and Features

Yifan Sun, Grace Yi

Task-Driven Wavelets using Constrained Empirical Risk Minimization

Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke et al.

Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection

Heng Zhang, Qiuyu Zhao, Linyu Zheng et al.

Position: Technical Research and Talent is Needed for Effective AI Governance

Anka Reuel, Lisa Soder, Benjamin Bucknall et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

Empirical Likelihood for Fair Classification

Pangpang Liu, Yichuan Zhao

Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance

Jakub Svoboda, Suguman Bansal, Krishnendu Chatterjee

Multimodal Graph Neural Architecture Search under Distribution Shifts

Jie Cai, Xin Wang, Haoyang Li et al.

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration

Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim et al.

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning

Yongjian Deng, Hao Chen, Youfu Li

Data Debugging with Shapley Importance over Machine Learning Pipelines

Bojan Karlaš, David Dao, Matteo Interlandi et al.

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging

Shiqiang Wang, Mingyue Ji

Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline

Donggyu Lee, Sangwon Jung, Taesup Moon

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms

Yadong Xu, Bonan Ni, Weiran Shen et al.

LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions

Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.

LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention

Renrui Zhang, Jiaming Han, Chris Liu et al.

Rethinking Optimization and Architecture for Tiny Language Models

Yehui Tang, Kai Han, Fangcheng Liu et al.

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Lulu Cao, Yufei Liu, Zhenzhong Wang et al.

StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis

Zecheng Tang, Chenfei Wu, Zekai Zhang et al.

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification

Yehui Tang, Nianzu Yang, Mabiao Long et al.

Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression

Qian Tang, Yikai Zhang, Boxiang Wang

SHAP\@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lecue et al.

Towards Transparent Time Series Forecasting

Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar

Position: What makes an image realistic?

Lucas Theis

Bi-directional Adapter for Multimodal Tracking

Bing Cao, Junliang Guo, Pengfei Zhu et al.

Improving Depth Completion via Depth Feature Upsampling

Yufei Wang, Ge Zhang, Shaoqian Wang et al.

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Tongzhou Zhang, Gang Wang, Yu Chen et al.

IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning

Ranking-based Client Imitation Selection for Efficient Federated Learning

Chunlin Tian, Zhan Shi, Xinpeng Qin et al.

OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport

Liangliang Shi, Jack Fan, Junchi Yan

Copula-Nested Spectral Kernel Network

Jinyue Tian, Hui Xue, Yanfang Xue et al.

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything

Alexandru Tifrea, Preethi Lahoti, Ben Packer et al.

Learning From Simplicial Data Based on Random Walks and 1D Convolutions

Florian Frantzen, Michael Schaub

Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI

Yegor Tkachenko

The False Promise of Imitating Proprietary Language Models

Arnav Gudibande, Eric Wallace, Charlie Snell et al.

UniMODE: Unified Monocular 3D Object Detection

Zhuoling Li, Xiaogang Xu, Ser-Nam Lim et al.

Stratified GNN Explanations through Sufficient Expansion

Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion

Naishan Zheng, Man Zhou, Jie Huang et al.

FADES: Fair Disentanglement with Sensitive Relevance

Taeuk Jang, Xiaoqian Wang

Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation

Coactive Learning for Large Language Models using Implicit User Feedback

Aaron D. Tucker, Kianté Brantley, Adam Cahall et al.

An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems

Hitesh Tulsiani, David Chan, Shalini Ghosh et al.

Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory

飞 叶, Adrian Bors

Future Language Modeling from Temporal Document History

Changmao Li, Jeffrey Flanigan

SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation

Yanjie Wang, Xu Zou, Luxin Yan et al.

FedHARM: Harmonizing Model Architectural Diversity in Federated Learning

Anestis Kastellos, Athanasios Psaltis, Charalampos Z Patrikakis et al.

Reward-Free Kernel-Based Reinforcement Learning

Sattar Vakili, Farhang Nabiei, Da-shan Shiu et al.

Federated Self-Explaining GNNs with Anti-shortcut Augmentations

Linan Yue, Qi Liu, Weibo Gao et al.

Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization

Position: Why Tabular Foundation Models Should Be a Research Priority

Boris van Breugel, M van der Schaar

Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach

Mim van den Bos, Jacobus van der Linden, Emir Demirović

G2L-CariGAN: Caricature Generation from Global Structure to Local Features

Xin Huang, Yunfeng Bai, Dong Liang et al.

Proactive DP: A Multiple Target Optimization Framework for DP-SGD

Marten van Dijk, Nhuong Nguyen, Toan N. Nguyen et al.

DAM: Towards a Foundation Model for Forecasting

Luke Darlow, Qiwen Deng, Ahmed Hassan et al.

Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes

Daniil Vankov, Angelia Nedich, Lalitha Sankar

A Unified Knowledge Transfer Network for Generalized Category Discovery

Wenkai Shi, Wenbin An, Feng Tian et al.

Semi-supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning

Wensheng Pan, Timin Gao, Yan Zhang et al.

MAGICK: A Large-scale Captioned Dataset from Matting Generated Images using Chroma Keying

Ryan Burgert, Brian Price, Jason Kuen et al.

Investigating Compositional Challenges in Vision-Language Models for Visual Grounding

Yunan Zeng, Yan Huang, Jinjin Zhang et al.