Most Cited ICLR "feature fusion" Papers
6,124 papers found • Page 30 of 31
Conference
A Branching Decoder for Set Generation
Zixian Huang, Gengyang Xiao, Yu Gu et al.
A Theoretical Framework for Partially-Observed Reward States in RLHF
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano et al.
UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
Peiwen Yuan, Shaoxiong Feng, Yiwei Li et al.
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
Dawei Yang, Yuxuan Yue, Xing Hu et al.
Addressing Label Shift in Distributed Learning via Entropy Regularization
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao et al.
GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
Zulfikar Alom, Tran Gia Bao Ngo, Murat Kantarcioglu et al.
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
Nikhil Vyas, Depen Morwani, Rosie Zhao et al.
Repurposing in AI: A Distinct Approach or an Extension of Creative Problem Solving?
Aissatou Diallo, Antonis Bikakis, Luke Dickens et al.
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Khalid OUBLAL, Said Ladjal, David Benhaiem et al.
DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance
Liang Sun, Yang Zhang, Weizhao He et al.
Learning LLM-as-a-Judge for Preference Alignment
Ziyi Ye, Xiangsheng Li, Qiuchi Li et al.
A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
Haruo Hosoya
Diving Segmentation Model into Pixels
Chen Gan, Zihao Yin, Kelei He et al.
Robust Similarity Learning with Difference Alignment Regularization
Shuo Chen, Gang Niu, Chen Gong et al.
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Zhanke Zhou, Yongqi Zhang, Jiangchao Yao et al.
KAN: Kolmogorov–Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya et al.
CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning
Jiaxin Wen, Jian Guan, Hongning Wang et al.
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
Yingtao Zhang, Haoli Bai, Haokun Lin et al.
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon et al.
LabelDP-Pro: Learning with Label Differential Privacy via Projections
Badih Ghazi, Yangsibo Huang, Pritish Kamath et al.
Optimistic Bayesian Optimization with Unknown Constraints
Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song et al.
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Xinzhe Yuan, William de Vazelhes, Bin Gu et al.
Learning to Jointly Understand Visual and Tactile Signals
Yichen Li, Yilun Du, Chao Liu et al.
Misspecified $Q$-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Du, Lin Yang, Ruosong Wang
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen et al.
MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
Yanzhe Chen, Zhiwen Yang, Jinglin Xu et al.
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
XU HAN, Caihua Shan, Yifei Shen et al.
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
Jae-Hong Lee, Joon-Hyuk Chang
EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
Yufei Huang, Yunshu Liu, Lirong Wu et al.
kNN Attention Demystified: A Theoretical Exploration for Scalable Transformers
Themistoklis Haris
High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers.
Jiachen Qian, Hongye Yang, Shuang Wu et al.
Efficient Score Matching with Deep Equilibrium Layers
Yuhao Huang, Qingsong Wang, Akwum Onwunta et al.
Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster
Patrick Schnell, Luca Guastoni, Nils Thuerey
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
Yichong Xia, Yimin Zhou, Jinpeng Wang et al.
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Beerel
Deep Neural Networks Tend To Extrapolate Predictably
Katie Kang, Amrith Setlur, Claire Tomlin et al.
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
Shengjie Zhou, Lue Tao, Yuzhou Cao et al.
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
Menglong Zhang, Fuyuan Qian, Quanying Liu
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
Haozhao Wang, Haoran Xu, Yichen Li et al.
LR0.FM: LOW-RESOLUTION ZERO-SHOT CLASSIFICATION BENCHMARK FOR FOUNDATION MODELS
Priyank Pathak, Shyam Marjit, Shruti Vyas et al.
Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
Shengju Yu, Zhibin Dong, Siwei Wang et al.
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
Lin Zhu, Xinbing Wang, Chenghu Zhou et al.
Constraint-Conditioned Actor-Critic for Offline Safe Reinforcement Learning
Zijian Guo, Weichao Zhou, Shengao Wang et al.
$\pi$2vec: Policy Representation with Successor Features
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci et al.
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
Peter Müller, Lukas Faber, Karolis Martinkus et al.
Learning to reconstruct signals from binary measurements alone
Laurent Jacques, Julián Tachella
Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy
Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
Tingting Jiang, Qi Xu, Xuming Ran et al.
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
guangtao lyu, Chenghao Xu, Jiexi Yan et al.
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
Yoav Wald, Mark Goldstein, Yonathan Efroni et al.
Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
Sheng Xu, Guiliang Liu
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Quanquan Gu, Jinghui Chen, Yuan Cao et al.
Optimizing Neural Network Representations of Boolean Networks
Joshua Russell, Ignacio Gavier, Devdhar Patel et al.
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
Boyu Liu, Haoyu Huang, Linlin Yang et al.
A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer
Lirong Wu, Yunfan Liu, Haitao Lin et al.
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Gen Li, Lu Yin, Jie Ji et al.
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
Ziyang Xiao, Dongxiang Zhang, Yangjun Wu et al.
Whittle Index with Multiple Actions and State Constraint for Inventory Management
Chuheng Zhang, Xiangsen Wang, Wei Jiang et al.
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
Jinbiao Chen, Jiahai Wang, Zhiguang Cao et al.
High-dimension Prototype is a Better Incremental Object Detection Learner
Yanjie Wang, Liqun Chen, Tianming Zhao et al.
Regularizing Energy among Training Samples for Out-of-Distribution Generalization
Yiting Chen, Qitian Wu, Junchi Yan
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
Shuang Liu, Yihan Wang, Yifan Zhu et al.
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
Tianze Luo, Zhanfeng Mo, Sinno Pan
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou
Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
Qi Liu, Xinhao Zheng, Xudong Lu et al.
Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
Tehila Dahan, Kfir Y Levy
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
Yuqian Fu, Yuanheng Zhu, Jian Zhao et al.
Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching
Zetian Jiang, Jiaxin Lu, Haizhao Fan et al.
Global Optimality for Non-linear Constrained Restoration Problems via Invexity
Samuel Pinilla, Jeyan Thiyagalingam
Enhanced Face Recognition using Intra-class Incoherence Constraint
Yuanqing Huang, Yinggui Wang, Le Yang et al.
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen et al.
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
Qihan Ren, Jiayang Gao, Wen Shen et al.
FIRING-Net: A filtered feature recycling network for speech enhancement
Xinmeng Xu, Yiqun Zhang, Jizhen Li et al.
Video Decomposition Prior: Editing Videos Layer by Layer
Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
G$^2$N$^2$ : Weisfeiler and Lehman go grammatical
Jason Piquenot, Aldo Moscatelli, Maxime Berar et al.
Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
Yufeng Zhang, Hang Yu, Jianguo Li et al.
Locality-Aware Graph Rewiring in GNNs
Federico Barbero, Ameya Velingker, Amin Saberi et al.
Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong et al.
Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
Hanmo Liu, Shimin Di, Jialiang Wang et al.
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
Ahana Deb, Roberto Cipollone, Anders Jonsson et al.
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
Kesen Zhao, Liang Zhang
OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
Lijia Yu, XIAOSHAN GAO, Lijun Zhang
UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP
Wenzheng Pan, Hao Xiong, Jiale Ma et al.
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom et al.
Training One-Dimensional Graph Neural Networks is NP-Hard
Robert Ganian, Mathis Rocton, Simon Wietheger
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
Kalliopi Basioti, Pritish Sahu, Qingze Liu et al.
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha DuTell, Mark Hamilton et al.
Learning Geometric Reasoning Networks For Robot Task And Motion Planning
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
Zhentao Tan, Xiaodan Li, Yue Wu et al.
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
Michael Chen, A. Pavan, N. V. Vinodchandran et al.
DINOv2: Learning Robust Visual Features without Supervision
Pierre Fernandez, Piotr Bojanowski, Gabriel Synnaeve et al.
Model Risk-sensitive Offline Reinforcement Learning
Gwangpyo Yoo, Honguk Woo
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
Huan He, Yijie Hao, Yuanzhe Xi et al.
Language Modeling Is Compression
Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne et al.
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
Xiong Xu, Kunzhe Huang, Yiming Li et al.
Federated Granger Causality Learning For Interdependent Clients With State Space Representation
Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan et al.
The Reasonableness Behind Unreasonable Translation Capability of Large Language Model
Tingchen Fu, lemao liu, Deng Cai et al.
Learning Grounded Action Abstractions from Language
Lio Wong, Jiayuan Mao, Pratyusha Sharma et al.
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
Yifan Feng, Yihe Luo, Shihui Ying et al.
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
YUJIE MO, Feiping Nie, Ping Hu et al.
Local Patterns Generalize Better for Novel Anomalies
Yalong Jiang
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
Sheng Li, Chao Wu, Ao Li et al.
Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy
Zhenghai Xue, Bo An, Shuicheng YAN
Learning View-invariant World Models for Visual Robotic Manipulation
Jing-Cheng Pang, Nan Tang, Kaiyuan Li et al.
MAP IT to Visualize Representations
Robert Jenssen
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
Xiangchi Yuan, Chunhui Zhang, Yijun Tian et al.
Nonlinear Sequence Embedding by Monotone Variational Inequality
Jonathan Y. Zhou, Yao Xie
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin, Dai Shi, Andi Han et al.
Fine-Tuning Token-Based Large Multimodal Models: What Works, What Doesn’t and What's Next
Zhulin Hu, Yan Ma, Jiadi Su et al.
Parsing neural dynamics with infinite recurrent switching linear dynamical systems
Victor Geadah, International Brain Laboratory, Jonathan Pillow
Grounding Multimodal Large Language Model in GUI World
Weixian Lei, Difei Gao, Mike Zheng Shou
EQA-MX: Embodied Question Answering using Multimodal Expression
Md Mofijul Islam, Alexi Gladstone, Riashat Islam et al.
OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework
Junliang Chen, Huaiyuan Xu, Yi Wang et al.
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
June Yong Yang, Geondo Park, Joowon Kim et al.
Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image
Kennard Chan, Fayao Liu, Guosheng Lin et al.
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
Chongjie Si, Zhiyi Shi, Shifan Zhang et al.
Dropout Enhanced Bilevel Training
Peiran Yu, Junyi Li, Heng Huang
Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
Siyu Luan, Zhenyi Wang, Li Shen et al.
L2P-MIP: Learning to Presolve for Mixed Integer Programming
Chang Liu, Zhichen Dong, Haobo Ma et al.
Sample-Efficient Quality-Diversity by Cooperative Coevolution
Ke Xue, Ren-Jian Wang, Pengyi Li et al.
Descent with Misaligned Gradients and Applications to Hidden Convexity
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.
Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs
Bowen Gao, Haichuan Tan, Yanwen Huang et al.
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg et al.
Faster Approximation of Probabilistic and Distributional Values via Least Squares
Weida Li, Yaoliang Yu
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli, Bernardo Grau
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
Wen Wen, Han Li, Tieliang Gong et al.
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
Xinyu Yang, Victor Weixin Liang, James Y Zou
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
Jiani Huang, Ziyang Li, Mayur Naik et al.
AutoLoRa: An Automated Robust Fine-Tuning Framework
Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli
Effective pruning of web-scale datasets based on complexity of concept clusters
Amro Kamal, Evgenia Rusak, Kushal Tirumala et al.
Redefining the task of Bioactivity Prediction
Yanwen Huang, Bowen Gao, Yinjun JIA et al.
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
Hanni Cheng, Ya Cong, Weihao Jiang et al.
Scaling Laws for Downstream Task Performance in Machine Translation
Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh et al.
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
Kehua Feng, Keyan Ding, Jing Yu et al.
A Benchmark for Semantic Sensitive Information in LLMs Outputs
Qingjie Zhang, Han Qiu, Di Wang et al.
ProtPainter: Draw or Drag Protein via Topology-guided Diffusion
Zhengxi Lu, Shizhuo Cheng, Yuru Jiang et al.
Dynamic Discounted Counterfactual Regret Minimization
Hang Xu, Kai Li, Haobo Fu et al.
Graphical Multioutput Gaussian Process with Attention
Yijue Dai, Wenzhong Yan, Feng Yin
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
Xudong Gong, Feng Dawei, Kele Xu et al.
Learning from weak labelers as constraints
Vishwajeet Agrawal, Rattana Pukdee, Nina Balcan et al.
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
Shihao Shao, Haoran Geng, Zun Wang et al.
Long-tailed Diffusion Models with Oriented Calibration
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao et al.
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
Junyan Cheng, Peter Chin
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
Atsushi Nitanda, Kazusato Oko, Taiji Suzuki et al.
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Zhou Lu, Qiuyi (Richard) Zhang, Xinyi Chen et al.
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie et al.
Sparse Autoencoders Find Highly Interpretable Features in Language Models
Robert Huben, Hoagy Cunningham, Logan Smith et al.
Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
Jiafei Lyu, Mengbei Yan, Zhongjian Qiao et al.
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.
Graph Lottery Ticket Automated
Guibin Zhang, Kun Wang, Wei Huang et al.
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
Hoyong Kim, Kangil Kim
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Jijin Hu, Ke Li, Yonggang Qi et al.
PPT: Patch Order Do Matters In Time Series Pretext Task
Jaeho Kim, Kwangryeol Park, Sukmin Yun et al.
Dynamics-Informed Protein Design with Structure Conditioning
Urszula Julia Komorowska, Simon Mathis, Kieran Didi et al.
Towards Unbiased Learning in Semi-Supervised Semantic Segmentation
Rui Sun, Huayu Mai, Wangkai Li et al.
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
Jiyang Zheng, Jialiang Shen, Yu Yao et al.
SAS: Structured Activation Sparsification
Yusuke Sekikawa, Shingo Yashima
ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS
Sujoy Bhore, Devdan Dey, Satyam Singh
How do we interpret the outputs of a neural network trained on classification?
Yudi Xie
NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields
Hanqiao Ye, Yuzhou Liu, Yangdong Liu et al.
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
Xu-Hui Liu, Yali Du, Jun Wang et al.
Multi-modal Learning: A Look Back and the Road Ahead
Divyam Madaan, Sumit Chopra, Kyunghyun Cho
Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
Junoh Lee, Hyunjun Jung, Jinhwi Park et al.
Restating the Proof of Linear Convergence for Linear GNNs
Huayi Tang, Yuhe Guo, Yong Liu et al.
Information Retention via Learning Supplemental Features
Zhipeng Xie, Yahe Li
Emergent Communication with Conversational Repair
Mitja Nikolaus
Fast Equilibrium of SGD in Generic Situations
Zhiyuan Li, Yi Wang, Zhiren Wang
A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
Sheng Xu, Bo Yue, Hongyuan Zha et al.
TexTailor: Customized Text-aligned Texturing via Effective Resampling
Suin Lee, DAE SHIK KIM
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective
Zehao Dou, Yang Song
Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
Faisal Hamman, Sanghamitra Dutta
Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization
XiaoHua Feng, Yuyuan Li, Chaochao Chen et al.
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash et al.
Credit-based self organizing maps: training deep topographic networks with minimal performance degradation
Amir Ozhan Dehghani, Xinyu Qian, Asa Farahani et al.
Deep Kernel Posterior Learning under Infinite Variance Prior Weights
Jorge Loría, Anindya Bhadra
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
Ziyi Chen, Yi Zhou, Heng Huang
Correlation and Navigation in the Vocabulary Key Representation Space of Language Models
Letian Peng, Chenyang An, Jingbo Shang
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Chandu, Linjie Li, Anas Awadalla et al.
SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization
Hong Qian, Yiyi Zhu, Xiang Shu et al.
Emergent Orientation Maps —— Mechanisms, Coding Efficiency and Robustness
Haixin Zhong, Haoyu Wang, Wei Dai et al.
Do not write that jailbreak paper
Javier Rando
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo et al.
A Curious Case of the Missing Measure: Better Scores and Worse Generation
Joseph Turian, Jordie Shier
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data
Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou et al.
Jamba: Hybrid Transformer-Mamba Language Models
Barak Lenz, Opher Lieber, Alan Arazi et al.
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia et al.
Learning Partial Graph Matching via Optimal Partial Transport
Gathika Ratnayaka, James Nichols, Qing Wang
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model
Xuehao Wang, Zhan ZHUANG, Feiyang YE et al.
HeadMap: Locating and Enhancing Knowledge Circuits in LLMs
Xuehao Wang, Liyuan Wang, Binghuai Lin et al.
Reward Design for Justifiable Sequential Decision-Making
Aleksa Sukovic, Goran Radanovic
Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
Charlie Snell, Jaehoon Lee, Kelvin Xu et al.
Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
Utku Umur Acikalin, Aaron Ferber, Carla Gomes
INViTE: INterpret and Control Vision-Language Models with Text Explanations
Haozhe Chen, Junfeng Yang, Carl Vondrick et al.
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
Wei Dai, Jicong Fan
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
Zhiliang Chen, Xinyuan Niu, Chuan Sheng Foo et al.
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
Maryam Toloubidokhti, Yubo Ye, Ryan Missel et al.
M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model
Kehan Wen, Yutong Hu, Yao Mu et al.
Semi-Parametric Retrieval via Binary Bag-of-Tokens Index
Jiawei Zhou, Li Dong, Furu Wei et al.
Branch-GAN: Improving Text Generation with (not so) Large Language Models
Fredrik Carlsson, Johan Broberg, Erik Hillbom et al.