Most Cited 2024 "code security" Papers

Pre-Training and Fine-Tuning Generative Flow Networks

Ling Pan, Moksh Jain, Kanika Madan et al.

Topological data analysis on noisy quantum computers

Ismail Akhalwaya, Shashanka Ubaru, Kenneth Clarkson et al.

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections

Dongqi Fu, Zhigang Hua, Yan Xie et al.

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity

Runyu Zhang, Yang Hu, Na Li

Debiased Collaborative Filtering with Kernel-Based Causal Balancing

Haoxuan Li, Chunyuan Zheng, Yanghao Xiao et al.

Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models

Gen Li, Yuting Wei, Yuxin Chen et al.

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency

Stone Tao, Arth Shukla, Tse-kai Chan et al.

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited

LU YU, Avetik Karagulyan, Arnak Dalalyan

S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

Safa Messaoud, Billel Mokeddem, Zhenghai Xue et al.

FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent

Ziyao Wang, Jianyu Wang, Ang Li

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

Olivier Laurent, Emanuel Aldea, Gianni Franchi

SEA: Sparse Linear Attention with Estimated Attention Mask

Heejun Lee, Jina Kim, Jeff Willette et al.

Goodhart's Law in Reinforcement Learning

Jacek Karwowski, Oliver Hayman, Xingjian Bai et al.

ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion

Shangyu Wu, Ying Xiong, Yufei CUI et al.

An Emulator for Fine-tuning Large Language Models using Small Language Models

Eric Mitchell, Rafael Rafailov, Archit Sharma et al.

Neural Optimal Transport with General Cost Functionals

Arip Asadulaev, Alexander Korotin, Vage Egiazarian et al.

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks

Yassine ABBAHADDOU, Sofiane ENNADIR, Johannes Lutzeyer et al.

COLLIE: Systematic Construction of Constrained Text Generation Tasks

Shunyu Yao, Howard Chen, Austin Hanjie et al.

SWE-bench: Can Language Models Resolve Real-world Github Issues?

Carlos E Jimenez, John Yang, Alexander Wettig et al.

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing

Ling Yang, Zhilong Zhang, Zhaochen Yu et al.

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

Ling Yang, Ye Tian, Minkai Xu et al.

Expressive Losses for Verified Robustness via Convex Combinations

Alessandro De Palma, Rudy R Bunel, Krishnamurthy Dvijotham et al.

Language Model Cascades: Token-Level Uncertainty And Beyond

Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum et al.

A Linear Algebraic Framework for Counterfactual Generation

Jong-Hoon Ahn, Akshay Vashist

Learning to Reject Meets Long-tail Learning

Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum et al.

Faithful Rule Extraction for Differentiable Rule Learning Models

Xiaxia Wang, David Jaime Tena Cucala, Bernardo Grau et al.

Quantifying Network Similarity using Graph Cumulants

Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis et al.

Grokking as a First Order Phase Transition in Two Layer Networks

Noa Rubin, Inbar Seroussi, Zohar Ringel

Feature emergence via margin maximization: case studies in algebraic tasks

Depen Morwani, Benjamin Edelman, Costin-Andrei Oncescu et al.

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

Jingyang Zhang, Shiwei Li, Yuanxun Lu et al.

An operator preconditioning perspective on training in physics-informed machine learning

Tim De Ryck, Florent Bonnet, Siddhartha Mishra et al.

Confidential-DPproof: Confidential Proof of Differentially Private Training

Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere et al.

Hindsight PRIORs for Reward Learning from Human Preferences

Mudit Verma, Katherine Metcalf

A Hierarchical Bayesian Model for Few-Shot Meta Learning

Minyoung Kim, Timothy Hospedales

The Alignment Problem from a Deep Learning Perspective

Richard Ngo, Lawrence Chan, Sören Mindermann

Neural Fine-Tuning Search for Few-Shot Learning

Panagiotis Eustratiadis, Łukasz Dudziak, Da Li et al.

FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis

Raman Dutt, Ondrej Bohdal, Sotirios Tsaftaris et al.

Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework

Eliya Segev, Maya Alroy, Ronen Katsir et al.

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity

Melissa Hall, Candace Ross, Adina Williams et al.

Memorization in Self-Supervised Learning Improves Downstream Generalization

Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic et al.

Neural Active Learning Beyond Bandits

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting

xue wang, Tian Zhou, Qingsong Wen et al.

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Peng Chen, Yingying ZHANG, Yunyao Cheng et al.

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Siqiao Xue, Xiaoming Shi, Zhixuan Chu et al.

Explaining Time Series via Contrastive and Locally Sparse Perturbations

Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.

Detecting Pretraining Data from Large Language Models

Weijia Shi, Anirudh Ajith, Mengzhou Xia et al.

A Fast and Provable Algorithm for Sparse Phase Retrieval

Jian-Feng Cai, Yu Long, Ruixue WEN et al.

Multilingual Jailbreak Challenges in Large Language Models

Yue Deng, Wenxuan Zhang, Sinno Pan et al.

Lemur: Harmonizing Natural Language and Code for Language Agents

Yiheng Xu, Hongjin SU, Chen Xing et al.

Window Attention is Bugged: How not to Interpolate Position Embeddings

Daniel Bolya, Chaitanya Ryali, Judy Hoffman et al.

Sharpness-Aware Data Poisoning Attack

Pengfei He, Han Xu, Jie Ren et al.

Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers

Oren Mangoubi, Nisheeth Vishnoi

Learning to Reject with a Fixed Predictor: Application to Decontextualization

Christopher Mohri, Daniel Andor, Eunsol Choi et al.

A 2-Dimensional State Space Layer for Spatial Inductive Bias

Ethan Baron, Itamar Zimerman, Lior Wolf

High-dimensional SGD aligns with emerging outlier eigenspaces

Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang et al.

Dynamic Neural Response Tuning

Tian Qiu, Xu Wenxiang, lin chen et al.

Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization

Hanmin Li, Avetik Karagulyan, Peter Richtarik

BatchPrompt: Accomplish more with less

Jianzhe Lin, Maurice Diesendruck, Liang Du et al.

CODE REPRESENTATION LEARNING AT SCALE

Dejiao Zhang, Wasi Ahmad, Ming Tan et al.

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Guocheng Qian, Jinjie Mai, Abdullah Hamdi et al.

Forward Learning of Graph Neural Networks

Namyong Park, Xing Wang, Antoine Simoulin et al.

AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference

Xuanlei Zhao, Shenggan Cheng, Guangyang LU et al.

TorchRL: A data-driven decision-making library for PyTorch

Albert Bou, Matteo Bettini, Sebastian Dittert et al.

CellPLM: Pre-training of Cell Language Model Beyond Single Cells

Hongzhi Wen, Wenzhuo Tang, Xinnan Dai et al.

MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning

S Chandra Mouli, Muhammad Alam, Bruno Ribeiro

Counting Graph Substructures with Graph Neural Networks

Charilaos Kanatsoulis, Alejandro Ribeiro

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain

Marcus J. Min, Yangruibo Ding, Luca Buratti et al.

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Geyang Guo, Ranchi Zhao, Tianyi Tang et al.

In-Context Learning through the Bayesian Prism

Madhur Panwar, Kabir Ahuja, Navin Goyal

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Yiyang Zhou, Chenhang Cui, Jaehong Yoon et al.

Zoology: Measuring and Improving Recall in Efficient Language Models

Simran Arora, Sabri Eyuboglu, Aman Timalsina et al.

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models

Zhilin Huang, Ling Yang, Xiangxin Zhou et al.

TRAM: Bridging Trust Regions and Sharpness Aware Minimization

Tom Sherborne, Naomi Saphra, Pradeep Dasigi et al.

Holistic Evaluation of Language Models

Jue Wang, Lucia Zheng, Nathan Kim et al.

Temporal Generalization Estimation in Evolving Graphs

Bin Lu, Tingyan Ma, Xiaoying Gan et al.

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization

Yanpeng Zhao, Siyu Gao, Yunbo Wang et al.

Self-Alignment with Instruction Backtranslation

Xian Li, Ping Yu, Chunting Zhou et al.

Denoising Task Routing for Diffusion Models

Byeongjun Park, Sangmin Woo, Hyojun Go et al.

Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps

Henry Li, Ronen Basri, Yuval Kluger

"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra et al.

TapMo: Shape-aware Motion Generation of Skeleton-free Characters

Jiaxu Zhang, Shaoli Huang, Zhigang Tu et al.

Pose Modulated Avatars from Video

Chunjin Song, Bastian Wandt, Helge Rhodin

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang et al.

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao et al.

Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss

Hao Wang, Chenyi Zhang, Tongyang Li

Contextual Bandits with Online Neural Regression

Rohan Deb, Yikun Ban, Shiliang Zuo et al.

Predictive auxiliary objectives in deep RL mimic learning in the brain

Ching Fang, Kimberly Stachenfeld

Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem

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

Score Regularized Policy Optimization through Diffusion Behavior

Huayu Chen, Cheng Lu, Zhengyi Wang et al.

WildChat: 1M ChatGPT Interaction Logs in the Wild

Wenting Zhao, Xiang Ren, Jack Hessel et al.

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference

Haoxuan Li, Chunyuan Zheng, Sihao Ding et al.

DAM: Towards a Foundation Model for Forecasting

Luke Darlow, Qiwen Deng, Ahmed Hassan et al.

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Junyoung Seo, Wooseok Jang, Min-Seop Kwak et al.

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Bingchen Zhao, Haoqin Tu, Chen Wei et al.

Generalization in diffusion models arises from geometry-adaptive harmonic representations

Zahra Kadkhodaie, Florentin Guth, Eero Simoncelli et al.

Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Hubert Siuzdak

Robust NAS under adversarial training: benchmark, theory, and beyond

Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel et al.

SE(3)-Stochastic Flow Matching for Protein Backbone Generation

Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet et al.

Future Language Modeling from Temporal Document History

Changmao Li, Jeffrey Flanigan

SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem

Margalit Glasgow

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL

Hao Sun, Alihan Hüyük, Mihaela van der Schaar

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets et al.

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Xingchao Liu, Xiwen Zhang, Jianzhu Ma et al.

One-shot Empirical Privacy Estimation for Federated Learning

Galen Andrew, Peter Kairouz, Sewoong Oh et al.

Learning to Act from Actionless Videos through Dense Correspondences

Po-Chen Ko, Jiayuan Mao, Yilun Du et al.

The False Promise of Imitating Proprietary Language Models

Arnav Gudibande, Eric Wallace, Charlie Snell et al.

Offline RL with Observation Histories: Analyzing and Improving Sample Complexity

Joey Hong, Anca Dragan, Sergey Levine

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

Florian Frantzen, Michael Schaub

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects

Chunming He, Kai Li, Yachao Zhang et al.

Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods

Zijian Liu, Zhengyuan Zhou

Large Language Models to Enhance Bayesian Optimization

Tennison Liu, Nicolás Astorga, Nabeel Seedat et al.

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization

Ian Gemp, Luke Marris, Georgios Piliouras

Towards Transparent Time Series Forecasting

Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar

Traveling Waves Encode The Recent Past and Enhance Sequence Learning

T. Anderson Keller, Lyle Muller, Terrence Sejnowski et al.

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks

Anna Bair, Hongxu Yin, Maying Shen et al.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series

Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi et al.

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

Renrui Zhang, Jiaming Han, Chris Liu et al.

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

Shaofei Cai, Bowei Zhang, Zihao Wang et al.

Exploring Diffusion Time-steps for Unsupervised Representation Learning

Zhongqi Yue, Zhongqi Yue, Jiankun Wang et al.

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation

Roi Benita, Michael Elad, Joseph Keshet

FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition

Xiaohu Huang, Hao Zhou, Kun Yao et al.

Training Diffusion Models with Reinforcement Learning

Kevin Black, Michael Janner, Yilun Du et al.

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

Donggyu Lee, Sangwon Jung, Taesup Moon

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging

Shiqiang Wang, Mingyue Ji

Data Debugging with Shapley Importance over Machine Learning Pipelines

Bojan Karlaš, David Dao, Matteo Interlandi et al.

Motif: Intrinsic Motivation from Artificial Intelligence Feedback

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani et al.

Empirical Likelihood for Fair Classification

Pangpang Liu, Yichuan Zhao

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation

Mucong Ding, Bang An, Yuancheng Xu et al.

Deep Reinforcement Learning for Modelling Protein Complexes

Ziqi Gao, Tao Feng, Jiaxuan You et al.

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks

Jianlang Chen, Xuhong Ren, Qing Guo et al.

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation

Luca Eyring, Dominik Klein, Théo Uscidda et al.

Learning to Embed Time Series Patches Independently

Seunghan Lee, Taeyoung Park, Kibok Lee

Horizon-Free Regret for Linear Markov Decision Processes

Zihan Zhang, Jason Lee, Yuxin Chen et al.

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

yaxuan zhu, Jianwen Xie, Yingnian Wu et al.

Balancing Act: Constraining Disparate Impact in Sparse Models

Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran et al.

Machine Unlearning for Image-to-Image Generative Models

Guihong Li, Hsiang Hsu, Chun-Fu Chen et al.

Flow Matching on General Geometries

Ricky T. Q. Chen, Yaron Lipman

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading

Yochai Yemini, Aviv Shamsian, Lior Bracha et al.

Emu: Generative Pretraining in Multimodality

Quan Sun, Qiying Yu, Yufeng Cui et al.

Bespoke Solvers for Generative Flow Models

Neta Shaul, Juan Perez, Ricky T. Q. Chen et al.

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

Shuo He, Chaojie Wang, Guowu Yang et al.

Kernelised Normalising Flows

Eshant English, Matthias Kirchler, Christoph Lippert

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra et al.

DittoGym: Learning to Control Soft Shape-Shifting Robots

Suning Huang, Boyuan Chen, Huazhe Xu et al.

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

Fei Shen, Hu Ye, Jun Zhang et al.

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

Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya et al.

Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks

Suhwan Choi, Myeongho Jeon, Yeonjung Hwang et al.

VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation

Jinxi Xiang, Ricong Huang, Jun Zhang et al.

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan et al.

BrainLM: A foundation model for brain activity recordings

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

MgNO: Efficient Parameterization of Linear Operators via Multigrid

Juncai He, Xinliang Liu, Jinchao Xu

The Generalization Gap in Offline Reinforcement Learning

Ishita Mediratta, Qingfei You, Minqi Jiang et al.

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting

Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo

Teaching Language Models to Hallucinate Less with Synthetic Tasks

Erik Jones, Hamid Palangi, Clarisse Ribeiro et al.

Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D

Haojie Huang, Owen Howell, Dian Wang et al.

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Chenxi Sun, Hongyan Li, Yaliang Li et al.

Neural Polynomial Gabor Fields for Macro Motion Analysis

Chen Geng, Koven Yu, Sida Peng et al.

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Yair Gat, Nitay Calderon, Amir Feder et al.

Teaching Large Language Models to Self-Debug

Xinyun Chen, Maxwell Lin, Nathanael Schaerli et al.

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

Xinyue Xu, Yi Qin, Lu Mi et al.

Large Language Models as Optimizers

Chengrun Yang, Xuezhi Wang, Yifeng Lu et al.

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

Jiyang Zheng, Yu Yao, Bo Han et al.

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

Chris Cundy, Stefano Ermon

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

Arvind Mahankali, Tatsunori Hashimoto, Tengyu Ma

Large Language Models Cannot Self-Correct Reasoning Yet

Jie Huang, Xinyun Chen, Swaroop Mishra et al.

Incentivized Truthful Communication for Federated Bandits

Zhepei Wei, Chuanhao Li, Tianze Ren et al.

H-GAP: Humanoid Control with a Generalist Planner

Zhengyao Jiang, Yingchen Xu, Nolan Wagener et al.

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen et al.

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

Sheng Shen, Le Hou, Yanqi Zhou et al.

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao et al.

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang et al.

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

Chaohua Shi, Kexin Huang, Lu Gan et al.

Explaining Kernel Clustering via Decision Trees

Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar

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

Chunsan Hong, ByungHee Cha, Tae-Hyun Oh

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

Cristian Meo, Louis Mahon, Anirudh Goyal et al.

Select to Perfect: Imitating desired behavior from large multi-agent data

Tim Franzmeyer, Edith Elkind, Philip Torr et al.

Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification

Reza Esfandiarpoor, Stephen Bach

Idempotent Generative Network

Assaf Shocher, Amil Dravid, Yossi Gandelsman et al.

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

Hwanwoo Kim, Xin Zhang, Jiwei Zhao et al.

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

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

Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning

Peizhong Ju, Arnob Ghosh, Ness Shroff

Stochastic Gradient Descent for Gaussian Processes Done Right

Jihao Andreas Lin, Shreyas Padhy, Javier Antorán et al.

Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks

Federico Errica, Mathias Niepert

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions

Jungtaek Kim, Jeongbeen Yoon, Minsu Cho

GIO: Gradient Information Optimization for Training Dataset Selection

Dante Everaert, Christopher Potts

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization

Anke Tang, Li Shen, Yong Luo et al.

SLiMe: Segment Like Me

Aliasghar Khani, Saeid Asgari, Aditya Sanghi et al.

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering

Jiaxin Lu, Zetian Jiang, Tianzhe Wang et al.

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Ke Wang, Houxing Ren, Aojun Zhou et al.

BadEdit: Backdooring Large Language Models by Model Editing

Yanzhou Li, Tianlin Li, Kangjie Chen et al.

One For All: Towards Training One Graph Model For All Classification Tasks

Hao Liu, Jiarui Feng, Lecheng Kong et al.

Neural Monge Map estimation and its applications

Shaojun Ma, Yongxin Chen, Hao-Min Zhou et al.

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

Zehao Dong, Muhan Zhang, Philip Payne et al.

$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence

Juno Kim, Jaehyuk Kwon, Mincheol Cho et al.

On the Sample Complexity of Lipschitz Constant Estimation

Stephen Roberts, Julien Huang, Jan-Peter Calliess

Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning

Haobo Song, Haobo SONG, Hao Zhao et al.

Image Background Serves as Good Proxy for Out-of-distribution Data

Sen Pei

FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning

Mingkun Yang, Ran Zhu, Qing Wang et al.