Most Cited 2025 "scene coordinate regression" Papers

TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting

Qihe Huang, Zhengyang Zhou, Kuo Yang et al.

Positive-unlabeled AUC Maximization under Covariate Shift

Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.

Learning Robust Neural Processes with Risk-Averse Stochastic Optimization

Huafeng Liu, Yiran Fu, Liping Jing et al.

Position: Language model developers should report train-test overlap

Andy Zhang, Kevin Klyman, Yifan Mai et al.

Feature Importance Metrics in the Presence of Missing Data

Henrik von Kleist, Joshua Wendland, Ilya Shpitser et al.

Symmetry-Aware GFlowNets

Hohyun Kim, Seunggeun Lee, Min-hwan Oh

Trustworthy Machine Learning through Data-Specific Indistinguishability

Hanshen Xiao, Zhen Yang, Edward Suh

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications

Ibrahim Fayad, Max Zimmer, Martin Schwartz et al.

Disparate Conditional Prediction in Multiclass Classifiers

Sivan Sabato, Eran Treister, Elad Yom-Tov

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions

Xinyu Yang, Tom Zollo, Benjamin Eyre et al.

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence

Guanghui Wang, Zhiyong Yang, Zitai Wang et al.

Improving Model Alignment Through Collective Intelligence of Open-Source Models

Junlin Wang, Roy Xie, Shang Zhu et al.

GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning

Haoyuan Qin, Zhengzhu Liu, Chenxing Lin et al.

Do We Really Need Message Passing in Brain Network Modeling?

Liang Yang, Yuwei Liu, Jiaming Zhuo et al.

Towards Memorization Estimation: Fast, Formal and Free

Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi et al.

SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution

Wenwen He, Wenke Huang, Bin Yang et al.

Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement

Yuheng Jing, Kai Li, Bingyun Liu et al.

Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem

In Huh, Changwook Jeong, Muhammad Alam

The Underlying Universal Statistical Structure of Natural Datasets

Noam Levi, Yaron Oz

Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton

Chengmei Niu, Zhenyu Liao, Zenan Ling et al.

Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models

Xingyu Chen, Jiahao Xu, Tian Liang et al.

Towards Better-than-2 Approximation for Constrained Correlation Clustering

Andreas Kalavas, Evangelos Kipouridis, Nithin Varma

ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning

Wei Xiao, Johnson Tsun-Hsuan Wang, Chuang Gan et al.

DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models

Changyi He, Yifu Ding, Jinyang Guo et al.

MissScore: High-Order Score Estimation in the Presence of Missing Data

Wenqin Liu, Haoze Hou, Erdun Gao et al.

MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models

Jeffrey A. Chan-Santiago, praveen tirupattur, Gaurav Kumar Nayak et al.

MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training

Yang Luo, Zangwei Zheng, Ziheng Qin et al.

Online Laplacian-Based Representation Learning in Reinforcement Learning

Maheed Ahmed, Jayanth Bhargav, Mahsa Ghasemi

Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints

Hengquan Guo, Lingkai Zu, Xin Liu

DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing

Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou

Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements

Manwen Liao, Yan Zhu, Weitian Zhang et al.

Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees

Tomer Meir, Uri Shalit, Malka Gorfine

Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis

Dayang Wang, Srivathsa Pasumarthi Venkata, Ajit Shankaranarayanan et al.

From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning

Jinyu Wang, Jingjing Fu, Rui Wang et al.

SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images

Jiannian Wang, Yao Lu, Guangming Lu

FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation

Zheng Fang, Lichuan Xiang, Xu Cai et al.

Channel Normalization for Time Series Channel Identification

Seunghan Lee, Taeyoung Park, Kibok Lee

Conformity Score Averaging for Classification

Rui Luo, Zhixin Zhou

Nonconvex Theory of $M$-estimators with Decomposable Regularizers

Weiwei Liu

Evolving Minds: Logic-Informed Inference from Temporal Action Patterns

Chao Yang, Shuting Cui, Yang Yang et al.

Hidden No More: Attacking and Defending Private Third-Party LLM Inference

Rahul Thomas, Louai Zahran, Erica Choi et al.

Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization

Shira Vansover-Hager, Tomer Koren, Roi Livni

Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning

Xue Zhao, Qinying Gu, Xinbing Wang et al.

Zero-Shot Generalization of GNNs over Distinct Attribute Domains

Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua et al.

An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data

Nikita Lagrange, Herve Isambert

Customizing the Inductive Biases of Softmax Attention using Structured Matrices

Yilun Kuang, Noah Amsel, Sanae Lotfi et al.

DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning

Xiaolong Xu, Yibo Zhou, Haolong Xiang et al.

Regret-Free Reinforcement Learning for Temporal Logic Specifications

R Majumdar, Mahmoud Salamati, Sadegh Soudjani

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation

Chang Liu, Yixin Wang, Moontae Lee

Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding

Zhang Jiasheng, Delvin Zhang, Shuang Liang et al.

Locality Preserving Markovian Transition for Instance Retrieval

Jifei Luo, Wenzheng Wu, Hantao Yao et al.

Adapting Precomputed Features for Efficient Graph Condensation

Yuan Li, Jun Hu, Zemin Liu et al.

TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization

Songtao Lu

HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks

One-Step Generalization Ratio Guided Optimization for Domain Generalization

Sumin Cho, Dongwon Kim, Kwangsu Kim

Trusted Multi-View Classification with Expert Knowledge Constraints

Xinyan Liang, Shijie Wang, Yuhua Qian et al.

Sleeping Reinforcement Learning

Simone Drago, Marco Mussi, Alberto Maria Metelli

Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization

Hiroshi Sawada, Kazuo Aoyama, Yuya Hikima

Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold

Yilong Song, Peijin Li, Bin Gao et al.

Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures

Yingzhao Jian, Yue Zhang, Ying Wei et al.

Online Linear Classification with Massart Noise

Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos et al.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization

Ziyu Gong, Jim Lim, David I. Inouye

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis

Sunghwan Hong, Jaewoo Jung, Heeseong Shin et al.

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective

Yuanhong Zhang, Muyao Yuan, Weizhan Zhang et al.

Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge

Hanglei Hu, Yingying Guo, Zhikang Chen et al.

Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation

Guanglong Sun, Hongwei Yan, Liyuan Wang et al.

Learning Safe Control via On-the-Fly Bandit Exploration

Alexandre Capone, Ryan Cosner, Aaron Ames et al.

A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations

Junwei Su, Chuan Wu

K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes

Hideaki Kim, Tomoharu Iwata, Akinori Fujino

When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration

Suorong Yang, Peng Ye, Furao Shen et al.

Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics

Hongbin Pei, Jingxin Hai, Yu Li et al.

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks

Dongwoo Lee, Dong Bok Lee, Steven Adriaensen et al.

Maintaining Proportional Committees with Dynamic Candidate Sets

Chris Dong, Jannik Peters

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits

Jinzhao Li, Nan Jiang, Yexiang Xue

Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs

Andrey Kofnov, Daniel Kapla, Ezio Bartocci et al.

Reward Translation via Reward Machine in Semi-Alignable MDPs

Yun Hua, Haosheng Chen, Wenhao Li et al.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

Sungwon Kim, Namkyeong Lee, Yunyoung Doh et al.

Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts

Haoyang Li, Xin Wang, Xueling Zhu et al.

TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes

Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo et al.

Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation

Haozhe Ma, Fangling Li, Jing Lim et al.

PASS: Private Attributes Protection with Stochastic Data Substitution

Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu et al.

Settling the Maximin Share Fairness for Scheduling among Groups of Machines

Bo Li, Fangxiao WANG, Xing Shiji

Flow-field inference from neural data using deep recurrent networks

Timothy Doyeon Kim, Thomas Luo, Tankut Can et al.

Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection

Jinyu Cai, Yunhe Zhang, Fusheng Liu et al.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation

Juncheol Shin, Minsang Seok, Seonggon Kim et al.

AtlasD: Automatic Local Symmetry Discovery

Manu Bhat, Jonghyun Park, Jianke Yang et al.

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning

Motoki Omura, Kazuki Ota, Takayuki Osa et al.

Calibrating Video Watch-time Predictions with Credible Prototype Alignment

Chao, Shisong Tang, Fan Li et al.

Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks

Jincheng Huang, Yujie Mo, Xiaoshuang Shi et al.

ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck

Zheng Zhou, Wenquan Feng, Qiaosheng Zhang et al.

Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors

Matei Gabriel Cosa, Marek Elias

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models

Zichao Li, Xueru Wen, Jie Lou et al.

The Price of Linear Time: Error Analysis of Structured Kernel Interpolation

Alexander Moreno, Justin Xiao, Jonathan Mei

A Machine Learning Approach to Duality in Statistical Physics

Prateek Gupta, Andrea Ferrari, Nabil Iqbal

Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence

zhaowei chen, Borui Zhao, Yuchen Ge et al.

Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing

Yuan Xin, Dingfan Chen, Michael Backes et al.

Open Materials Generation with Stochastic Interpolants

Philipp Höllmer, Thomas Egg, Maya Martirossyan et al.

µnit Scaling: Simple and Scalable FP8 LLM Training

Saaketh Narayan, Abhay Gupta, Mansheej Paul et al.

HyperIV: Real-time Implied Volatility Smoothing

Yongxin Yang, Wenqi Chen, Chao Shu et al.

Attributes Shape the Embedding Space of Face Recognition Models

Pierrick Leroy, Antonio Mastropietro, Marco Nurisso et al.

Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion

KAIJUN LIU, Sijie Ruan, Liang Zhang et al.

Optimal Auction Design in the Joint Advertising

Yang Li, Yuchao Ma, Qi Qi

The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport

Chenrui Wang, Yixuan Qiu

Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms

Aoran Wang, Xinnan Dai, Jun Pang

Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition

Anders Aamand, Justin Chen, Mina Dalirrooyfard et al.

Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models

Kejia Chen, Jiawen Zhang, Jiacong Hu et al.

From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control

Peiyan Hu, Xiaowei Qian, Wenhao Deng et al.

Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks

Maricela Best Mckay, Avleen Kaur, Chen Greif et al.

Neural Event-Triggered Control with Optimal Scheduling

Luan Yang, Jingdong Zhang, Qunxi Zhu et al.

Generalization Analysis for Controllable Learning

Yi-Fan Zhang, Xiao Zhang, Min-Ling Zhang

Tight and Fast Bounds for Multi-Label Learning

Yi-Fan Zhang, Min-Ling Zhang

Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images

Yan Zhong, Chenxi Yang, Suyuan Zhao et al.

COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering

Weixuan Liang, Xinwang Liu, KE LIANG et al.

Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration

Xinjie Yao, Yu Wang, Pengfei Zhu et al.

Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction

Yadong Sun, Xiaofeng Cao, Ivor Tsang et al.

MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES

Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk et al.

Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg

Like Jian, Dong Liu

Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation

Yihao Yang, Wenke Huang, Guancheng Wan et al.

Enhancing Graph Invariant Learning from a Negative Inference Perspective

Kuo Yang, Zhengyang Zhou, Qihe Huang et al.

Complete-Tree Space Favors Data-Efficient Link Prediction

Chi Gao, Lukai Li, Yancheng Zhou et al.

E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time

Adam Breuer

Learning to Reuse Policies in State Evolvable Environments

Ziqian Zhang, Bohan Yang, Lihe Li et al.

Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization

Guopeng Lin, Ruisheng Zhou, Shuyu Chen et al.

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data

Zhe Zhao, HaiBin Wen, Pengkun Wang et al.

Learning Configurations for Data-Driven Multi-Objective Optimization

Zhiyang Chen, Hailong Yao, Xia Yin

Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer

Yabo Liu, Waikeung Wong, Chengliang Liu et al.

Iterative Vectors: In-Context Gradient Steering without Backpropagation

Yiting Liu, Zhi-Hong Deng

Doubly Robust Fusion of Many Treatments for Policy Learning

Ke Zhu, Jianing Chu, Ilya Lipkovich et al.

KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling

Shimin Zhang, Ziyuan Ye, Yinsong Yan et al.

Improving Reward Model Generalization from Adversarial Process Enhanced Preferences

Zhilong Zhang, Tian Xu, Xinghao Du et al.

Going Deeper into Locally Differentially Private Graph Neural Networks

Longzhu He, Chaozhuo Li, Peng Tang et al.

Federated Node-Level Clustering Network with Cross-Subgraph Link Mending

Jingxin Liu, Renda Han, Wenxuan Tu et al.

Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants

Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar et al.

Near Optimal Best Arm Identification for Clustered Bandits

Yash Kheshwani, Avishek Ghosh, Nikhil Karamchandani

Efficient LiDAR Reflectance Compression via Scanning Serialization

Jiahao Zhu, Kang You, Dandan Ding et al.

SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models

Saman Forouzandeh, Parham Moradi, Mahdi Jalili

AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning

Zhoufan Zhu, Ke Zhu

Position: Probabilistic Modelling is Sufficient for Causal Inference

Bruno Mlodozeniec, David Krueger, Richard E Turner

De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs

Samantha Chen, Pankaj Agarwal, Yusu Wang

Position: AI's growing due process problem

Sunayana Rane

Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning

Hanqi Yan, Linhai Zhang, Jiazheng Li et al.

Position: AI Should Not Be An Imitation Game: Centaur Evaluations

Andreas Haupt, Erik Brynjolfsson

Position: Retrieval-augmented systems can be dangerous medical communicators

Lionel Wong, Ayman Ali, Raymond M Xiong et al.

Position: The Right to AI

Rashid Mushkani, Hugo Berard, Allison Cohen et al.

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation

Zecheng Hao, Qichao Ma, Kang Chen et al.

Reinforcement Learning Enhanced Full-Duplex Spoken Dialogue Language Models for Conversational Interactions

Chen Chen, Ke Hu, Chao-Han Huck Yang et al.

Position: Graph Matching Systems Deserve Better Benchmarks

Indradyumna Roy, Saswat Meher, Eeshaan Jain et al.

Position: It Is Time We Test Neural Computation In Vitro

Frithjof Gressmann, Ashley Chen, Lily Xie et al.

Hidden in plain sight: VLMs overlook their visual representations

Stephanie Fu, tyler bonnen, Devin Guillory et al.

Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning

Tennison Liu, Mihaela van der Schaar

Position: Deep Learning is Not So Mysterious or Different

Andrew Wilson

MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning

Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel et al.

ExLM: Rethinking the Impact of $\texttt{[MASK]}$ Tokens in Masked Language Models

Kangjie Zheng, Junwei Yang, Siyue Liang et al.

Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models

Liangchen Liu, Nannan Wang, Xi Yang et al.

CoLa: Learning to Interactively Collaborate with Large Language Models

Abhishek Sharma, Dan Goldwasser

Enhancing Parallelism in Decentralized Stochastic Convex Optimization

Ofri Eisen, Ron Dorfman, Kfir Levy

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Zichong Li, Chen Liang, Zixuan Zhang et al.

EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation

ji deng, Zhao Li, Ji Zhang et al.

ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks

Zhehan Zhao, Lu Bai, Lixin Cui et al.

MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification

TianChi Xing, Bonan Li, Congying Han et al.

Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead

Shengju Yu, Yiu-ming Cheung, Siwei Wang et al.

Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts

Kun Cheng, Xiao He, Lei Yu et al.

D3: A Dataset for Training Code LMs to Act Diff-by-Diff

Ulyana Piterbarg, Kanishk Gandhi, Lerrel Pinto et al.

Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN

Talal Widatalla, Richard Shuai, Brian Hie et al.

Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security

Yangyang Shen, Xiao Tan, Dian Shen et al.

Learning to Quantize for Training Vector-Quantized Networks

Peijia Qin, Jianguo Zhang

Generative Point Cloud Registration

Haobo Jiang, Jin Xie, jian Yang et al.

Variational Learning of Fractional Posteriors

Kian Ming Chai, Edwin V. Bonilla

Do Language Models Agree with Human Perceptions of Suspense in Stories?

Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza et al.

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education

Xinming Yang, Haasil Pujara, Jun Li

CALLME: Call Graph Augmentation with Large Language Models for Javascript

Michael Wang, Kexin Pei, Armando Solar-Lezama

Algorithms and Hardness for Active Learning on Graphs

Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans

LM Agents May Fail to Act on Their Own Risk Knowledge

Yuzhi Tang, Tianxiao Li, Elizabeth Li et al.

MTSTRec: Multimodal Time-Aligned Shared Token Recommender

Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang et al.

Constrained Online Convex Optimization with Polyak Feasibility Steps

Spencer Hutchinson, Mahnoosh Alizadeh

The Complexity of Learning Sparse Superposed Features with Feedback

Akash Kumar

Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering

Zhaohe Liao, Jiangtong Li, Siyu Sun et al.

FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation

Chengying Fang, Wenke Huang, Guancheng Wan et al.

LLM-based Multi-Agents System Attack via Continuous Optimization with Discrete Efficient Search

Weichen Yu, Kai Hu, Tianyu Pang et al.

Spherical-Nested Diffusion Model for Panoramic Image Outpainting

Xiancheng Sun, Senmao Ma, Shengxi Li et al.

Strategic Planning: A Top-Down Approach to Option Generation

Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar

Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification

Shikang Liu, Chuyang Wei, Xiren Zhou et al.

Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision

Marco Cipriano, Moritz Feuerpfeil, Gerard de Melo

Transfer Q-Learning with Composite MDP Structures

Jinhang Chai, Elynn Chen, Lin Yang

Do Biased Models Have Biased Thoughts?

Swati Rajwal, Shivank Garg, Reem Abdel-Salam et al.

Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning

Xudong Gong, Sen Yang, Feng Dawei et al.

A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver

Suyu Liu, Zhiguang Cao, Shanshan Feng et al.

Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models

Chao Huang, Yushu Shi, Jie Wen et al.

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks

Meng Li, Timothy M. McPhillips, Dingmin Wang et al.

2 OLMo 2 Furious (COLM’s Version)

Evan Pete Walsh, Luca Soldaini, Dirk Groeneveld et al.

Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision Users

Jeffri Murrugarra-Llerena, Haoran Niu, K. Suzanne Barber et al.

Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking

Senyu Han, Hongchuan Zeng, Kai Yu et al.

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification

Ben Dai

TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack

Feiyang Wang, Xingquan Zuo, Hai Huang et al.

Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks

Boqi Li, Youjun Wang, Weiwei Liu

Feature out! Let Raw Image as Your Condition for Blind Face Restoration

XINMIN QIU, Gege Chen, Bonan Li et al.

AKORN: Adaptive Knots generated Online for RegressioN splines

Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang

When Splitting Makes Stronger: A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs

Yizhou Zhang, Defu Cao, Lun Du et al.

Curvature-aware Graph Attention for PDEs on Manifolds

Yunfeng Liao, Jiawen Guan, Xiucheng Li

An Error Analysis of Flow Matching for Deep Generative Modeling

Zhengyu Zhou, Weiwei Liu