Most Cited 2024 "interpretable prediction networks" Papers

Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games

Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models

Tianci Liu, Haoyu Wang, Shiyang Wang et al.

ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

Qianlan Yang, Yu-Xiong Wang

Open-Domain Text Evaluation via Contrastive Distribution Methods

Sidi Lu, Hongyi Liu, Asli Celikyilmaz et al.

DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models

Sidi Lu, Wenbo Zhao, Chenyang Tao et al.

On the Role of Edge Dependency in Graph Generative Models

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos et al.

A Persuasive Approach to Combating Misinformation

Safwan Hossain, Andjela Mladenovic, Yiling Chen et al.

Risk Estimation in a Markov Cost Process: Lower and Upper Bounds

Gugan Chandrashekhar Mallika Thoppe, Prashanth L.A., Sanjay Bhat

Perturb-and-Project: Differentially Private Similarities and Marginals

Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto et al.

Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning

Dake Zhang, Boxiang Lyu, Shuang Qiu et al.

Efficient Pre-training for Localized Instruction Generation of Procedural Videos

Anil Batra, Davide Moltisanti, Laura Sevilla-Lara et al.

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms

Yuchen Li, Laura Balzano, Deanna Needell et al.

Catastrophic Overfitting: A Potential Blessing in Disguise

MN Zhao, Lihe Zhang, Yuqiu Kong et al.

Learning Hybrid Dynamics Models with Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly

Mengqi GUO, Chen Li, Yuyang Zhao et al.

MeshFeat: Multi-Resolution Features for Neural Fields on Meshes

Mihir Mahajan, Florian Hofherr, Daniel Cremers

G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping

Junfeng Cheng, Tania Stathaki

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy et al.

A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering

Vincent Cohen-Addad, Tommaso d'Orsi, Aida Mousavifar

Debiasing surgeon: fantastic weights and how to find them

Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen et al.

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

Multi-View Stochastic Block Models

Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi et al.

Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives

Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori et al.

Causal Inference from Competing Treatments

Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt

Animating General Image with Large Visual Motion Model

Dengsheng Chen, Xiaoming Wei, Xiaolin Wei

Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae

Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam Ngouonou et al.

The Causal Impact of Credit Lines on Spending Distributions

Yijun Li, Cheuk Hang Leung, Xiangqian Sun et al.

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Yu Liu, Runzhe Wan, James McQueen et al.

Pooling Image Datasets with Multiple Covariate Shift and Imbalance

Sotirios Panagiotis Chytas, Vishnu Lokhande, Vikas Singh

Local Graph Clustering with Noisy Labels

Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang

POET: Prompt Offset Tuning for Continual Human Action Adaptation

Prachi Garg, Joseph K J, Vineeth N Balasubramanian et al.

Configurable Mirror Descent: Towards a Unification of Decision Making

Pengdeng Li, Shuxin Li, Chang Yang et al.

Forward Learning of Graph Neural Networks

Namyong Park, Xing Wang, Antoine Simoulin et al.

Towards Certifiably Robust Face Recognition

Seunghun Paik, Dongsoo Kim, Chanwoo Hwang et al.

Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models

Phuong Dam, Jihoon Jeong, Anh Tran et al.

Measuring Stochastic Data Complexity with Boltzmann Influence Functions

Nathan Ng, Roger Grosse, Marzyeh Ghassemi

Fair Participation via Sequential Policies

Reilly Raab, Ross Boczar, Maryam Fazel et al.

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making

Aliyah Hsu, Yeshwanth Cherapanamjeri, Briton Park et al.

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities

Hammad Ayyubi, Christopher Thomas, Lovish Chum et al.

Privacy Preserving Adaptive Experiment Design

Jiachun Li, Kaining Shi, David Simchi-Levi

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

Yihong Sun, Bharath Hariharan

RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering

Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng et al.

Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy

Bo Li, Wei Wang, Peng Ye

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits

Zhiwei Wang, Hongning Wang, Huazheng Wang

Semantic-guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift

kangyu xiao, Zilei Wang, junjie li

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Di Wu, Yuling Jiao, Li Shen et al.

Fast Registration of Photorealistic Avatars for VR Facial Animation

Chaitanya Patel, Shaojie Bai, Te-Li Wang et al.

CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding

Kaiyuan Chen, Xingzhuo Guo, Yu Zhang et al.

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch

Taemin Park, Hyuck Lee, Heeyoung Kim

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization

Danning Lao, Qi Liu, Jiazi Bu et al.

Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations

Haziq Razali, Yiannis Demiris

Position: Towards Implicit Prompt For Text-To-Image Models

Yue Yang, Yuqi Lin, Hong Liu et al.

UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening

Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang et al.

Integration of Global and Local Representations for Fine-grained Cross-modal Alignment

Seungwan Jin, Hoyoung Choi, Taehyung Noh et al.

From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

Trenton Chang, Jenna Wiens

Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling

Jiawei Shi, Hui Deng, Yuchao Dai

Semantic Line Combination Detector

JINWON KO, Dongkwon Jin, Chang-Su Kim

Autonomous Sparse Mean-CVaR Portfolio Optimization

Yizun Lin, Yangyu Zhang, Zhao-Rong Lai et al.

Efficient Snapshot Spectral Imaging: Calibration-Free Parallel Structure with Aperture Diffraction Fusion

Tao Lv, Lihao Hu, Shiqiao Li et al.

Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees

Marco Bressan, Mauro Sozio

Random matrix theory improved Fréchet mean of symmetric positive definite matrices

Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.

Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks

lingzhuang meng, Mingwen Shao, Yuanjian Qiao et al.

AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement

Shiwei Jin, Zhen Wang, Lei Wang et al.

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense

Jeremy Styborski, Mingzhi Lyu, YI HUANG et al.

PAPM: A Physics-aware Proxy Model for Process Systems

Pengwei Liu, Zhongkai Hao, Xingyu Ren et al.

Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning

Guoli Yan, Zichun Zhong, Jing Hua

Harmonizing knowledge Transfer in Neural Network with Unified Distillation

yaomin huang, faming Fang, Zaoming Yan et al.

Object Attribute Matters in Visual Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

ELSE: Efficient Deep Neural Network Inference through Line-based Sparsity Exploration

Zeqi Zhu, Alberto Garcia-Ortiz, Luc Waeijen et al.

Rethinking and Extending the Probabilistic Inference Capacity of GNNs

Tuo Xu, Lei Zou

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

Open Vocabulary Semantic Scene Sketch Understanding

Ahmed Bourouis, Judith Fan, Yulia Gryaditskaya

Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry

Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar et al.

REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices

Chaojie Ji, Yufeng Li, Yiyi Liao

10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection

Hai Xia, Stefan Szeider

Scale-Free Image Keypoints Using Differentiable Persistent Homology

Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno et al.

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

Stochastic Optimization with Arbitrary Recurrent Data Sampling

William Powell, Hanbaek Lyu

LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation

Jianan Li, Qiulei Dong

SEC: More Accurate Clustering Algorithm via Structural Entropy

Junyu Huang, Qilong Feng, Jiahui Wang et al.

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

Cluster-Aware Similarity Diffusion for Instance Retrieval

Jifei Luo, Hantao Yao, Changsheng Xu

Learning the Target Network in Function Space

Kavosh Asadi, Yao Liu, Shoham Sabach et al.

Practical Performance Guarantees for Pipelined DNN Inference

Aaron Archer, Matthew Fahrbach, Kuikui Liu et al.

Differentiable Convex Polyhedra Optimization from Multi-view Images

Daxuan Ren, Haiyi Mei, Hezi Shi et al.

Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending

Delong Wu, Hao Zhu, Qi Zhang et al.

Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring

Ge Gao, Xi Yang, Min Chi

IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers

Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas Singh

Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning

Kevin Leo, Graeme Gange, M. G. D. L. Banda et al.

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep

Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.

DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

Yu Chi, Fangneng Zhan, Sibo Wu et al.

Submodular framework for structured-sparse optimal transport

Piyushi Manupriya, Pratik Kumar Jawanpuria, Karthik Gurumoorthy et al.

ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos

Kang Hyolim, Jeongseok Hyun, Joungbin An et al.

Triple Changes Estimator for Targeted Policies

Sina Akbari, Negar Kiyavash

Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation

lei wang, Zejian Yuan, Badong Chen

Source-Free Domain-Invariant Performance Prediction

Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon et al.

ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images

Xiangtian Xue, Jiasong Wu, Youyong Kong et al.

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaska, Antonin Kucera, Vojtěch Kůr et al.

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing

Pranav Gupta, Rishubh Singh, Pradeep Shenoy et al.

Learning from Streaming Data when Users Choose

Jinyan Su, Sarah Dean

Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation

Yuan Xiao, Shiqing Ma, Juan Zhai et al.

EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control

Christopher May, Daniel Aliaga

Object Dynamics Modeling with Hierarchical Point Cloud-based Representations

Chanho Kim, Li Fuxin

Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control

Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat et al.

Data Collection-free Masked Video Modeling

Yuchi Ishikawa, Masayoshi Kondo, Yoshimitsu Aoki

EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Priors

Zhipeng Hu, Minda Zhao, Chaoyi Zhao et al.

Provable Interactive Learning with Hindsight Instruction Feedback

Dipendra Misra, Aldo Pacchiano, Robert Schapire

MultiMax: Sparse and Multi-Modal Attention Learning

Yuxuan Zhou, Mario Fritz, Margret Keuper

Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time

Chiao-An Yang, Ziwei Liu, Raymond Yeh

IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images

Yushuang Wu, Luyue Shi, Junhao Cai et al.

Classification Matters: Improving Video Action Detection with Class-Specific Attention

Jinsung Lee, Taeoh Kim, Inwoong Lee et al.

An Intrinsic Vector Heat Network

Alexander Gao, Maurice Chu, Mubbasir Kapadia et al.

Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer

Qiuyun Zhang, Bin Guo, Lina Yao et al.

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off

Levente Ferenc Halmosi, Bálint Mohos, Márk Jelasity

MetaAug: Meta-Data Augmentation for Post-Training Quantization

Cuong Pham, Hoang Anh Dung, Cuong Cao Nguyen et al.

Seeing Dark Videos via Self-Learned Bottleneck Neural Representation

Haofeng Huang, Wenhan Yang, Lingyu Duan et al.

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model

Hugo Lebeau, Mohamed El Amine Seddik, José Henrique Goulart

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees

Jinzhao Li, Nan Jiang, Yexiang Xue

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata

Dongsu Zhang, Francis Williams, Žan Gojčič et al.

The optimality of kernel classifiers in Sobolev space

Jianfa Lai, zhifan Li, Dongming Huang et al.

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

David Nguyen, David Liebowitz, Salil Kanhere et al.

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

Weiyao Wang, Pierre Gleize, Hao Tang et al.

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning

Yeda Song, Dongwook Lee, Gunhee Kim

Deep Stochastic Mechanics

Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang et al.

Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes

Zelong Zeng, Kaname Tomite

LCOT: Linear Circular Optimal Transport

ROCIO DIAZ MARTIN, Ivan Medri, Yikun Bai et al.

Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting

Aleksei Ustimenko, Aleksandr Beznosikov

Multiscale Graph Texture Network

Ravishankar Evani, Deepu Rajan, Shangbo Mao

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Amitay Bar, Rotem Mulayoff, Tomer Michaeli et al.

Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach

Anton Plaksin, Vitaly Kalev

Focus Stacking with High Fidelity and Superior Visual Effects

Bo Liu, Bin Hu, Xiuli Bi et al.

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy

Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.

Mean-field Chaos Diffusion Models

Sungwoo Park, Dongjun Kim, Ahmed Alaa

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing

Seongmin Hong, Jaehyeok Bae, Jongho Lee et al.

Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework

Qiongjie Cui, Huaijiang Sun, Bin Li et al.

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.

Towards Robust Full Low-bit Quantization of Super Resolution Networks

Denis Makhov, Irina Zhelavskaya, Ruslan Ostapets et al.

Fast Ensembling with Diffusion Schrödinger Bridge

Hyunsu Kim, Jongmin Yoon, Juho Lee

Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation

Sudhir Kumar Reddy Yarram, Junsong Yuan

CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems

MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark

Sanghyun Woo, Kwanyong Park, Inkyu Shin et al.

P2Seg: Pointly-supervised Segmentation via Mutual Distillation

Zipeng Wang, Xuehui Yu, Xumeng Han et al.

Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection

Haoyue Shi, Le Wang, Sanping Zhou et al.

Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection

Stefano Blumberg, Paddy Slator, Daniel Alexander

RANRAC: Robust Neural Scene Representations via Random Ray Consensus

Benno Buschmann, Andreea Dogaru, Elmar Eisemann et al.

Leveraging Uncertainty Estimates To Improve Classifier Performance

Gundeep Arora, Srujana Merugu, Anoop Saladi et al.

Deep Cost Ray Fusion for Sparse Depth Video Completion

Jungeon Kim, Soongjin Kim, Jaesik Park et al.

Compositional Substitutivity of Visual Reasoning for Visual Question Answering

Chuanhao Li, Zhen Li, Chenchen Jing et al.

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

Hao Tang, Weiyao Wang, Pierre Gleize et al.

Generalising Planning Environment Redesign

Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo

Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models

Rining Wu, Feixiang Zhou, Ziwei Yin et al.

Discerning Temporal Difference Learning

Jianfei Ma

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

Optimally Improving Cooperative Learning in a Social Setting

Shahrzad Haddadan, Cheng Xin, Jie Gao

Rethinking Unsupervised Outlier Detection via Multiple Thresholding

Zhonghang Liu, Panzhong Lu, Guoyang Xie et al.

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting

Fan Zhou, Chen Pan, Lintao Ma et al.

Diverse Text-to-3D Synthesis with Augmented Text Embedding

Uy Tran, Minh N. Hoang Luu, Phong Nguyen et al.

Eliciting Kemeny Rankings

Anne-Marie George, Christos Dimitrakakis

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra et al.

Sample-and-Bound for Non-convex Optimization

Yaoguang Zhai, Zhizhen Qin, Sicun Gao

An accurate detection is not all you need to combat label noise in web-noisy datasets

Paul Albert, Kevin McGuinness, Eric Arazo et al.

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics

Xinyu Zhang, Wenjie Qiu, Yi-Chen Li et al.

Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks

Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.

Self-Supervised Video Copy Localization with Regional Token Representation

Minlong Lu, Yichen Lu, Siwei Nie et al.

Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes

Haobin Duan, Miao Wang, Yanxun Li et al.

Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation

Yingjie Chen, Jiarui Zhang, Tao Wang et al.

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games

BugNIST - a Large Volumetric Dataset for Detection under Domain Shift

Patrick Jensen, Vedrana Dahl, Rebecca Engberg et al.

Object-Oriented Anchoring and Modal Alignment in Multimodal Learning

Shibin Mei, Bingbing Ni, Hang Wang et al.

Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach

Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis et al.

SAT-Based Techniques for Lexicographically Smallest Finite Models

Mikoláš Janota, Choiwah Chow, João Araújo et al.

AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling

Sherry Chen, Yaron Vaxman, Elad Ben Baruch et al.

Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data

Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo

Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors

Kohei Ashida, Hiroaki Santo, Fumio Okura et al.

On-the-fly Category Discovery for LiDAR Semantic Segmentation

HYEONSEONG KIM, Sung-Hoon Yoon, Minseok Kim et al.

Online Learning with Bounded Recall

Jon Schneider, Kiran Vodrahalli

Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts

Hyunsu Kim, Ye Gon Kim, Hongseok Yang et al.

Double Momentum Method for Lower-Level Constrained Bilevel Optimization

Wanli Shi, Yi Chang, Bin Gu

Latent variable model for high-dimensional point process with structured missingness

Maksim Sinelnikov, Manuel Haussmann, Harri Lähdesmäki

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Paul Bodily, Dan Ventura

LEAD: Min-Max Optimization from a Physical Perspective

Guillaume Lajoie, Amartya Mitra, Reyhane Askari Hemmat et al.

Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints

Oscar Smee, Fred Roosta

Flatness-aware Sequential Learning Generates Resilient Backdoors

Hoang Pham, The-Anh Ta, Anh Tran et al.

Training A Secure Model against Data-Free Model Extraction

Zhenyi Wang, Li Shen, junfeng guo et al.

Möbius Transform for Mitigating Perspective Distortions in Representation Learning

Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De et al.

Sketched Newton Value Iteration for Large-Scale Markov Decision Processes

Jinsong Liu, Chenghan Xie, Qi Deng et al.

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

Xiaolong Fan, Maoguo Gong, Yue Wu et al.

Leveraging Imperfect Restoration for Data Availability Attack

YI HUANG, Jeremy Styborski, Mingzhi Lyu et al.

Graph Generation with $K^2$-trees

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

Fooling Polarization-Based Vision using Locally Controllable Polarizing Projection

Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara et al.

NfgTransformer: Equivariant Representation Learning for Normal-form Games

SIQI LIU, Luke Marris, Georgios Piliouras et al.

Private Truly-Everlasting Robust-Prediction

Uri Stemmer

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim, Jaesik Choi

Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling

Zixiao Wang, Hongtao Xie, YuXin Wang et al.

Named Entity Driven Zero-Shot Image Manipulation

Zhida Feng, Li Chen, Jing Tian et al.