Most Cited ICLR "interaction awareness" Papers
6,124 papers found • Page 15 of 31
Conference
Lightweight Neural App Control
Filippos Christianos, Georgios Papoudakis, Thomas Coste et al.
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Adam Block, Dylan Foster, Akshay Krishnamurthy et al.
VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning
Qingtao Liu, Yu Cui, Zhengnan Sun et al.
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
Vishaal Udandarao, Max F. Burg, Samuel Albanie et al.
H-GAP: Humanoid Control with a Generalist Planner
Zhengyao Jiang, Yingchen Xu, Nolan Wagener et al.
Rethinking Invariance in In-context Learning
Lizhe Fang, Yifei Wang, Khashayar Gatmiry et al.
RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction
Peng Liu, Dongyang Dai, Zhiyong Wu
Outlier-Robust Subsampling Techniques for Persistent Homology
Bernadette J. Stolz
On Linear Representations and Pretraining Data Frequency in Language Models
Jack Merullo, Noah Smith, Sarah Wiegreffe et al.
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu, Edward Chien, Kristjan Greenewald
Deep Kernel Relative Test for Machine-generated Text Detection
Yiliao Song, Zhenqiao Yuan, Shuhai Zhang et al.
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
Spencer Frei, Gal Vardi
Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
Yuheng Chen, Pengfei Cao, Yubo Chen et al.
LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Biao Zhang, Peter Wonka
Workflow Discovery from Dialogues in the Low Data Regime
David Vazquez, Stefania Raimondo, Christopher Pal et al.
Random-Set Neural Networks
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang et al.
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar et al.
Adversarial Machine Unlearning
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik et al.
NetMoE: Accelerating MoE Training through Dynamic Sample Placement
Xinyi Liu, Yujie Wang, Fangcheng Fu et al.
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na, Yunkyeong Seo, Il-chul Moon
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Springer, Vaishnavh Nagarajan, Aditi Raghunathan
Empowering Users in Digital Privacy Management through Interactive LLM-Based Agents
Bolun Sun, Yifan Zhou, Haiyun Jiang
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
Grace Liu, Michael Tang, Benjamin Eysenbach
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
Jing He, Haodong Li, huyongzhe et al.
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
Yuankai Luo, Hongkang Li, Qijiong Liu et al.
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
Claas Voelcker, Marcel Hussing, ERIC EATON et al.
Rethinking Visual Counterfactual Explanations Through Region Constraint
Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej et al.
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski et al.
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver Lange et al.
Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling
Jingyun Xue, WANG HongFa, Qi Tian et al.
Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking
Paria Rashidinejad, Yuandong Tian
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
Shawn Tan, Songlin Yang, Aaron Courville et al.
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang, Ricardo Campello, Sarah Erfani et al.
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
Roi Benita, Michael Elad, Joseph Keshet
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
Nirmit Joshi, Gal Vardi, Nathan Srebro
The 3D-PC: a benchmark for visual perspective taking in humans and machines
Drew Linsley, Peisen Zhou, Alekh Ashok et al.
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Anthony Bardou, Patrick Thiran, Thomas Begin
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco
On the Role of Discrete Tokenization in Visual Representation Learning
Tianqi Du, Yifei Wang, Yisen Wang
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang et al.
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur, Erik Jenner, Stuart Russell
Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models
Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu et al.
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia et al.
Node-Time Conditional Prompt Learning in Dynamic Graphs
Xingtong Yu, Zhenghao Liu, Xinming Zhang et al.
MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge
yuntao du, Kailin Jiang, Zhi Gao et al.
Robust NAS under adversarial training: benchmark, theory, and beyond
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel et al.
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang, Ziqing Fan, Jiangchao Yao et al.
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem et al.
Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses
David Glukhov, Ziwen Han, I Shumailov et al.
Deep Linear Probe Generators for Weight Space Learning
Jonathan Kahana, Eliahu Horwitz, Imri Shuval et al.
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Mintong Kang, Nezihe Merve Gürel, Linyi Li et al.
A Watermark for Order-Agnostic Language Models
Ruibo Chen, Yihan Wu, Yanshuo Chen et al.
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
Dongjun Lee, Juyong Lee, Kyuyoung Kim et al.
Measuring memorization in RLHF for code completion
Jamie Hayes, I Shumailov, Billy Porter et al.
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Yiting Chen, Zhanpeng Zhou, Junchi Yan
Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
Yichi Zhang, Zhuo Chen, Lingbing Guo et al.
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
Zhixiang Chi, Li Gu, Huan Liu et al.
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo, Hyunseo Koh, Jonghyun Choi
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
HAOYUE DAI, Ignavier Ng, Gongxu Luo et al.
Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Yuanfeng Ji, Chongjian GE, Weikai Kong et al.
Implicit In-context Learning
Zhuowei Li, Zihao Xu, Ligong Han et al.
GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
Peiye Zhuang, Songfang Han, Chaoyang Wang et al.
Attention as a Hypernetwork
Simon Schug, Seijin Kobayashi, Yassir Akram et al.
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
Sachin Goyal, Christina Baek, Zico Kolter et al.
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela Stoian, Eleonora Giunchiglia
Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks?
Jonathan Roberts, Kai Han, Samuel Albanie
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
Zijing Shi, Meng Fang, Ling Chen
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
Pei Wang, Yanan Wu, Zekun Wang et al.
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
Ganghua Wang, Xun Xian, Ashish Kundu et al.
Periodic Materials Generation using Text-Guided Joint Diffusion Model
KISHALAY DAS, Subhojyoti Khastagir, Pawan Goyal et al.
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
Towards Federated RLHF with Aggregated Client Preference for LLMs
Feijie Wu, Xiaoze Liu, Haoyu Wang et al.
Multimodal Quantitative Language for Generative Recommendation
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang et al.
BodyGen: Advancing Towards Efficient Embodiment Co-Design
Haofei Lu, Zhe Wu, Junliang Xing et al.
Object-Centric Learning with Slot Mixture Module
Daniil Kirilenko, Vitaliy Vorobyov, Aleksey Kovalev et al.
Multi-modal brain encoding models for multi-modal stimuli
SUBBA REDDY OOTA, Khushbu Pahwa, mounika marreddy et al.
General Scene Adaptation for Vision-and-Language Navigation
Haodong Hong, Yanyuan Qiao, Sen Wang et al.
Cycle Consistency Driven Object Discovery
Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data
Seiji Maekawa, Hayate Iso, Nikita Bhutani
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
Patrick Seifner, Kostadin Cvejoski, Antonia Körner et al.
Boosting Latent Diffusion with Perceptual Objectives
Tariq Berrada, Pietro Astolfi, Melissa Hall et al.
Improved Training Technique for Latent Consistency Models
Minh Quan Dao, Khanh Doan, Di Liu et al.
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Yumeng Li, William H Beluch, Margret Keuper et al.
On the Computation of the Fisher Information in Continual Learning
Gido van de Ven
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao et al.
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
Zun Wang, Jialu Li, Yicong Hong et al.
Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions?
BOSHEN XU, Ziheng Wang, Yang Du et al.
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
Koichi Saito, Dongjun Kim, Takashi Shibuya et al.
Towards Hierarchical Rectified Flow
Yichi Zhang, Yici Yan, Alex Schwing et al.
Post-hoc bias scoring is optimal for fair classification
Wenlong Chen, Yegor Klochkov, Yang Liu
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Keda TAO, Jinjin Gu, Yulun Zhang et al.
Neural structure learning with stochastic differential equations
Benjie Wang, Joel Jennings, Wenbo Gong
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
Arthur Jacot, Peter Súkeník, Zihan Wang et al.
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Giovanni De Felice, Andrea Cini, Daniele Zambon et al.
Mitigating Memorization in Language Models
Mansi Sakarvadia, Aswathy Ajith, Arham Khan et al.
The Marginal Value of Momentum for Small Learning Rate SGD
Runzhe Wang, Sadhika Malladi, Tianhao Wang et al.
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
Zhiyong Wang, Dongruo Zhou, John C.S. Lui et al.
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
Frederic Koehler, Thuy-Duong Vuong
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
Jiawei Zhou, Xiaoguang Li, Lifeng Shang et al.
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, marc lelarge
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
Haoyu Wang, Sunhao Dai, Haiyuan Zhao et al.
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Renbo Tu, Colin White, Jean Kossaifi et al.
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
Lu Li, Tianyu Zhang, Zhiqi Bu et al.
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
Sheng Wang, Liheng Chen, Pengan CHEN et al.
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun, Donghao Zhang, Zongyuan Ge et al.
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Yang Zhou, Hao Shao, Letian Wang et al.
Variational Inference for SDEs Driven by Fractional Noise
Rembert Daems, Manfred Opper, Guillaume Crevecoeur et al.
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu, Chenghao Deng, Yanchao Sun et al.
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat, Artavazd Maranjyan, Peter Richtarik
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks
Khurram Javed, Haseeb Shah, Richard Sutton et al.
Domain constraints improve risk prediction when outcome data is missing
Sidhika Balachandar, Nikhil Garg, Emma Pierson
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang, Keping Bi, Wei Chen et al.
Representation Deficiency in Masked Language Modeling
Yu Meng, Jitin Krishnan, Sinong Wang et al.
ThermalGaussian: Thermal 3D Gaussian Splatting
Rongfeng Lu, Hangyu Chen, Zunjie Zhu et al.
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
Suyu Ge, Xihui Lin, Yunan Zhang et al.
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee, Hansam Cho, YoungJoon Yoo et al.
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models
Hantao Zhang, Yuhe Liu, Jiancheng Yang et al.
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
Shikai Fang, Madison Cooley, Da Long et al.
Task structure and nonlinearity jointly determine learned representational geometry
Matteo Alleman, Jack Lindsey, Stefano Fusi
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Algorithms for Caching and MTS with reduced number of predictions
Karim Ahmed Abdel Sadek, Marek Elias
Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi, Bahareh Tolooshams, anima anandkumar
FormalAlign: Automated Alignment Evaluation for Autoformalization
Jianqiao Lu, Yingjia Wan, Yinya Huang et al.
Lie Group Decompositions for Equivariant Neural Networks
Mircea Mironenco, Patrick Forré
Incremental Randomized Smoothing Certification
Shubham Dipak Ugare, Tarun Suresh, Debangshu Banerjee et al.
Multilinear Operator Networks
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos et al.
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang, Jacob Helwig, Yuchao Lin et al.
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang, Zhong Li, Qianxiao Li
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
Kang Liao, Zongsheng Yue, Zhouxia Wang et al.
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li, Zichen Miao, Qiang Qiu et al.
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen et al.
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
Jaeseong Lee, Taewoong Kang, Marcel Buehler et al.
Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
Eli Chien, Pan Li
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu, Jeehyun Hwang, Keir Adams et al.
Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation
Minghan Chen, Guikun Chen, Wenguan Wang et al.
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
Whie Jung, Jaehoon Yoo, Sungjin Ahn et al.
Efficient Planning with Latent Diffusion
Wenhao Li
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
HeeSun Bae, Seungjae Shin, Byeonghu Na et al.
Large Convolutional Model Tuning via Filter Subspace
Wei Chen, Zichen Miao, Qiang Qiu
IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh et al.
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi, Zhewei Wei
Topic Modeling as Multi-Objective Contrastive Optimization
Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Intrinsic User-Centric Interpretability through Global Mixture of Experts
Vinitra Swamy, Syrielle Montariol, Julian Blackwell et al.
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Zirui Zhang, Wei Hao, Aroon Sankoh et al.
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang, Yuan Dong, Hanwen Jiang et al.
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Qining Zhang, Lei Ying
Deep MMD Gradient Flow without adversarial training
Alexandre Galashov, Valentin De Bortoli, Arthur Gretton
PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri
ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
Serin Yang, Taesung Kwon, Jong Chul YE
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
Aryaman Reddi, Maximilian Tölle, Jan Peters et al.
Consistency Checks for Language Model Forecasters
Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez et al.
ADAM: An Embodied Causal Agent in Open-World Environments
Shu Yu, Chaochao Lu
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
Weronika Ormaniec, Felix Dangel, Sidak Pal Singh
Sensor-Invariant Tactile Representation
Harsh Gupta, Yuchen Mo, Shengmiao Jin et al.
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Fran Jelenić, Josip Jukić, Martin Tutek et al.
Understanding prompt engineering may not require rethinking generalization
Victor Akinwande, Yiding Jiang, Dylan Sam et al.
Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
Zeyuan Ma, Jiacheng Chen, Hongshu Guo et al.
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting
Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
Tony Alex, Sara Atito, Armin Mustafa et al.
Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation
Wenhui Tan, Boyuan Li, Chuhao Jin et al.
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang, Chandan Singh, Liyuan Liu et al.
Accelerating Sinkhorn algorithm with sparse Newton iterations
Xun Tang, Michael Shavlovsky, Holakou Rahmanian et al.
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli et al.
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
Aaron J. Li, Satyapriya Krishna, Hima Lakkaraju
Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
Zirun Guo, Tao Jin
Solving Video Inverse Problems Using Image Diffusion Models
Taesung Kwon, Jong Chul YE
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li, Yuanzhi Li
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller, Kathrin Gruber, Dennis Fok
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang, Sharut Gupta, Caroline Uhler et al.
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
Shengyu Feng, Xiang Kong, shuang ma et al.
Mixture of Weak and Strong Experts on Graphs
Hanqing Zeng, Hanjia Lyu, Diyi Hu et al.
Federated Wasserstein Distance
alain rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Axel Laborieux, Friedemann Zenke
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Peiyan Zhang, Haoyang Liu, Chaozhuo Li et al.
REFACTOR: Learning to Extract Theorems from Proofs
Jin Zhou, Yuhuai Wu, Qiyang Li et al.
Progressive Compositionality in Text-to-Image Generative Models
Xu Han, Linghao Jin, Xiaofeng Liu et al.
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li, Yuan Gao, Jinda Lu et al.
On the Parameterization of Second-Order Optimization Effective towards the Infinite Width
Satoki Ishikawa, Ryo Karakida
Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu et al.
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho et al.
Space and time continuous physics simulation from partial observations
Steeven Janny, Madiha Nadri, Julie Digne et al.
Multi-task Learning with 3D-Aware Regularization
Wei-Hong Li, Steven McDonagh, Ales Leonardis et al.
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James et al.
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
Jiecheng Lu, Xu Han, Shihao Yang
Learning Multi-Agent Communication with Contrastive Learning
Yat Long (Richie) Lo, Biswa Sengupta, Jakob Foerster et al.
Gumbel Counterfactual Generation From Language Models
Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson et al.
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
Yongsheng Mei, Mahdi Imani, Tian Lan
Progressive distillation induces an implicit curriculum
Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi et al.
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
Sayan Banerjee, Krishna Balasubramanian, PROMIT GHOSAL
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin ZHANG, Linghan Xu, Jun Fang et al.
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu, Hongyang Gao
Distilling Structural Representations into Protein Sequence Models
Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao et al.
Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control
Hejia Chen, Haoxian Zhang, Shoulong Zhang et al.
Influencer Backdoor Attack on Semantic Segmentation
Haoheng Lan, Jindong Gu, Philip Torr et al.
NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields
Amandine Brunetto, Sascha Hornauer, Fabien Moutarde