Most Cited 2024 "critical point characterization" Papers
12,324 papers found • Page 55 of 62
Conference
On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?
Markus Hecher, Rafael Kiesel
Multi-View Randomized Kernel Classification via Nonconvex Optimization
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
Shomik Jain, Kathleen A. Creel, Ashia Wilson
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing
Ling Lo, Cheng Yeo, Hong-Han Shuai et al.
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
Prompt-Driven Referring Image Segmentation with Instance Contrasting
Chao Shang, Zichen Song, Heqian Qiu et al.
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation
FedCD: Federated Semi-supervised Learning with Class Awareness Balance via Dual Teachers
Yuzhi Liu, Huisi Wu, Jing Qin
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting
Sen Deng, Yidan Feng, Haoneng Lin et al.
Prompting Multi-Modal Image Segmentation with Semantic Grouping
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang, Gang Yang, Yueyi Zhang et al.
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems
Jiayang Su, Junbo Ma, Songyang Tong et al.
Neural Exposure Fusion for High-Dynamic Range Object Detection
Emmanuel Onzon, Maximilian Bömer, Fahim Mannan et al.
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization
Yuze Tan, Hecheng Cai, Shudong Huang et al.
Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
Xu Zheng, Pengyuan Zhou, ATHANASIOS et al.
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
Mengyu Dai, Amir Hossein Raffiee, Aashish Jain et al.
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
Kai Han, Yunhe Wang, Jianyuan Guo et al.
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu, Bryan Kian Hsiang Low
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
Maximilian Frühauf, Hayko Riemenschneider, Markus Gross et al.
Enhancing Post-training Quantization Calibration through Contrastive Learning
Yuzhang Shang, Gaowen Liu, Ramana Kompella et al.
LASO: Language-guided Affordance Segmentation on 3D Object
Yicong Li, Na Zhao, Junbin Xiao et al.
ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
Juncheng Mu, Lin Bie, Shaoyi Du et al.
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
Heping Song, Jingyao Gong, Hongying Meng et al.
Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation
Naisong Luo, Rui Sun, Yuwen Pan et al.
Sampling for Beyond-Worst-Case Online Ranking
Qingyun Chen, Sungjin Im, Benjamin Moseley et al.
Revisiting Counterfactual Problems in Referring Expression Comprehension
Zhihan Yu, Ruifan Li
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources
Fan Fei, Jiajun Tang, Ping Tan et al.
Selective Deep Autoencoder for Unsupervised Feature Selection
Wael Hassanieh, Abdallah Chehade
Variable Importance in High-Dimensional Settings Requires Grouping
Yifan Lu, Ziqi Zhang, Chunfeng Yuan et al.
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
Video Harmonization with Triplet Spatio-Temporal Variation Patterns
Zonghui Guo, XinYu Han, Jie Zhang et al.
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
Qiming Xia, Wei Ye, Hai Wu et al.
Orthogonal Dictionary Guided Shape Completion Network for Point Cloud
Pingping Cai, Deja Scott, Xiaoguang Li et al.
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
Naveen Kumar Kummari, Reshmi Mitra, Krishna Mohan Chalavadi
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation
Ge Meng, Jingjia Huang, Yingying Wang et al.
PanoRecon: Real-Time Panoptic 3D Reconstruction from Monocular Video
Dong Wu, Zike Yan, Hongbin Zha
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated
Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
Emily McMilin
Graph Reasoning Transformers for Knowledge-Aware Question Answering
Ruilin Zhao, Feng Zhao, Liang Hu et al.
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Hao Wu, Yuxuan Liang, Wei Xiong et al.
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack
Daizong Liu, Wei Hu
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
Ke Sun, Pei Liu, Pengfei Li et al.
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications
Karren Yang, Anurag Ranjan, Jen-Hao Rick Chang et al.
From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
Yiwei Bao, Feng Lu
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
Di Ming, Peng Ren, Yunlong Wang et al.
Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration
Sheng Zhu, Chun Shen, Shuai Lü et al.
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation
Yiying Yang, Fukun Yin, Wen Liu et al.
SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection
Xin Jin, Kai Liu, Cong Ma et al.
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation
Zhidong Yu, Wei Yang, Xike Xie et al.
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation
Lanyun Zhu, Tianrun Chen, Jianxiong Yin et al.
Locality Preserving Refinement for Shape Matching with Functional Maps
Yifan Xia, Yifan Lu, Yuan Gao et al.
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection
Haonan Zhang, Longjun Liu, Yuqi Huang et al.
IGAMT: Privacy Preserved Electronic Health Record Synthetic Approach with Heterogeneity and Irregularity
Wenjie Wang, Pengfei Tang, Jian Lou et al.
ResMatch: Residual Attention Learning for Feature Matching
Yuxin Deng, Kaining Zhang, Shihua Zhang et al.
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
Yirui Liu, Xinghao Qiao, Yulong Pei et al.
WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification
Satish Kumar, Bowen Zhang, Chandrakanth Gudavalli et al.
Gaze Target Detection by Merging Human Attention and Activity Cues
Yaokun Yang, Yihan Yin, Feng Lu
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
Suyuan Liu, Junpu Zhang, Yi Wen et al.
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
Chengliang Liu, Jia Jinlong, Jie Wen et al.
Efficient Lightweight Image Denoising with Triple Attention Transformer
Yubo Zhou, Jin Lin, Fangchen Ye et al.
Learning from Failure: Improving Meeting Summarization without Good Samples
Ke Wang, Xiutian Zhao, Wei Peng
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
Hongjie Xia, Huijie Ao, Long Li et al.
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
Yingheng Wang, Shufeng Kong, John Gregoire et al.
Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
Lianxin Xie, csbingbing zheng, Wen Xue et al.
Countering Personalized Text-to-Image Generation with Influence Watermarks
Hanwen Liu, Zhicheng Sun, Yadong Mu
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge
Bo Zou, Shaofeng Wang, Hao Liu et al.
Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology
Foivos Fioravantes, Dušan Knop, Jan Křišťan et al.
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
Wenhao Xu, Rongtao Xu, Changwei Wang et al.
FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions
Zhaoxu Sun, Yuze Xuan, Fang Liu et al.
EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks
Jiafeng Li, Zelin Li, Ying Wen
Weakly-Supervised Audio-Visual Video Parsing with Prototype-based Pseudo-Labeling
Kranthi Kumar Rachavarapu, Kalyan Ramakrishnan, A. N. Rajagopalan
DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking
Cheng Huang, Shoudong Han, Mengyu He et al.
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
Qiqi Bao, Zheng Hui, Rui Zhu et al.
Pedro Zuidberg Dos Martires
NC-TTT: A Noise Constrastive Approach for Test-Time Training
David OSOWIECHI, Gustavo Vargas Hakim, Mehrdad Noori et al.
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
Xuming Hu, Zhaochen Hong, Yong Jiang et al.
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation
Khoi D Nguyen, Chen Li, Gim Hee Lee
Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement
Chengjie Ge, Xueyang Fu, Peng He et al.
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes
IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation
Mengshun Hu, Kui Jiang, Zhihang Zhong et al.
Neuromorphic Event Signal-Driven Network for Video De-raining
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
Brian Yang, Huangyuan Su, Nikolaos Gkanatsios et al.
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation
Hui Cui, Lihai Zhao, Fengling Li et al.
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
Zhi-Fan Wu, Chaojie Mao, Xue Wang et al.
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
Lei Wang, Yi Hu, Jiabang He et al.
When Do Program-of-Thought Works for Reasoning?
Zhen Bi, Ningyu Zhang, Yinuo Jiang et al.
Approximation Algorithms for Preference Aggregation Using CP-Nets
Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles
Adversarial Text to Continuous Image Generation
Kilichbek Haydarov, Aashiq Muhamed, Xiaoqian Shen et al.
SuperJunction: Learning-Based Junction Detection for Retinal Image Registration
Yu Wang, Xiaoye Wang, Zaiwang Gu et al.
IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching
Ximeng Li, Chen Zhang, Wanjuan Su et al.
Parallel Empirical Evaluations: Resilience despite Concurrency
Johannes Fichte, Tobias Geibinger, Markus Hecher et al.
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
Swakshar Deb, Sejuti Rahman, Shafin Rahman
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for
Jianqing Zhang, Yang Liu, Yang Hua et al.
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding
Yaoyuan Liang, Xiao Liang, Yansong Tang et al.
NaRuto: Automatically Acquiring Planning Models from Narrative Texts
Ruiqi Li, Leyang Cui, Songtuan Lin et al.
Traceable Federated Continual Learning
Qiang Wang, Bingyan Liu, Yawen Li
SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling
Juhee Lee, Jewon Kang
Merlin: Empowering Multimodal LLMs with Foresight Minds
En Yu, liang zhao, YANA WEI et al.
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
Sheng Zhang, Muzammal Naseer, Guangyi Chen et al.
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
Jian Wang, Zhe Cao, Diogo Luvizon et al.
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
Zaishuo Xia, Han Yang, Binghui Wang et al.
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
Jinhao Lin, Ziheng Wu, Weifeng Lin et al.
PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
Haopeng Sun, Lumin Xu, Sheng Jin et al.
Online Stabilization of Spiking Neural Networks
Yaoyu Zhu, Jianhao Ding, Tiejun Huang et al.
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
Yichen Wu, Long-Kai Huang, Renzhen Wang et al.
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
Qiuhao Zeng, Changjian Shui, Long-Kai Huang et al.
Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs
Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan
A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction
Dongyang Liu, Meina Kan, Shiguang Shan et al.
2475 TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification
O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
Yubin Hu, Sheng Ye, Wang Zhao et al.
Boosting Graph Anomaly Detection with Adaptive Message Passing
Jingyan Chen, Guanghui Zhu, Chunfeng Yuan et al.
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker et al.
Forward $\chi^2$ Divergence Based Variational Importance Sampling
Chengrui Li, Yule Wang, Weihan Li et al.
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR
Kartik Patwari, Chen-Nee Chuah, Lingjuan Lyu et al.
Training Graph Transformers via Curriculum-Enhanced Attention Distillation
Yisong Huang, Jin Li, Xinlong Chen et al.
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
Xufeng Yao, Fanbin Lu, Yuechen Zhang et al.
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
Wenwen Zhang, Yun Hu, Hangguan Shan et al.
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
Chunyu Hu, Hong Zhang, Chao Liang et al.
Do Topological Characteristics Help in Knowledge Distillation?
Jungeun Kim, Junwon You, Dongjin Lee et al.
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data
Junjie Liang, Weijieying Ren, Sahar Hanifi et al.
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
Fan Xu, Yu Zhao, Bingzhe Wu et al.
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
Yan Sun, Jicong Fan
On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback
Ziwei Guan, Yi Zhou, Yingbin Liang
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
Yifeng Fan, Yongqiang Li, Bo Chen
AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose
Huichao Zhang, Bowen Chen, Hao Yang et al.
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
Lukas Berglund, Meg Tong, Maximilian Kaufmann et al.
Backdoor Attacks via Machine Unlearning
Zihao Liu, Tianhao Wang, Mengdi Huai et al.
On Bias-Variance Alignment in Deep Models
Lin Chen, Michal Lukasik, Wittawat Jitkrittum et al.
QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters
Yushan Liu, Zili Wang, Ruifeng Yuan
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
Xiang Song, Yuhang He, Songlin Dong et al.
AttEXplore: Attribution for Explanation with model parameters eXploration
Zhiyu Zhu, Huaming Chen, Jiayu Zhang et al.
You Only Query Once: An Efficient Label-Only Membership Inference Attack
Yutong Wu, Han Qiu, Shangwei Guo et al.
FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework
Dongyue Guo, Zheng Zhang, Zhen Yan et al.
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space
Jun Liu, Jiantao Zhou, Jiandian Zeng et al.
Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms
Zheng Xing, Weibing Zhao
Sparse Autoencoders Find Highly Interpretable Features in Language Models
Robert Huben, Hoagy Cunningham, Logan Smith et al.
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
Hoyong Kim, Kangil Kim
Participation Incentives in Approval-Based Committee Elections
Martin Bullinger, Chris Dong, Patrick Lederer et al.
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations
Ke Liang, Sihang Zhou, Meng Liu et al.
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport
Jixiang Yu, Nanjun Chen, Ming Gao et al.
Block-Level Goal Recognition Design
Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance
Qi Bi, Shaodi You, Theo Gevers
Prompt Gradient Projection for Continual Learning
Jingyang Qiao, Zhizhong Zhang, Xin Tan et al.
On the Unstable Convergence Regime of Gradient Descent
Shuo Chen, Jiaying Peng, Xiaolong Li et al.
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation
Driton Salihu, Adam Misik, Yuankai Wu et al.
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations
Multi-Resolution Diffusion Models for Time Series Forecasting
Lifeng Shen, Weiyu Chen, James Kwok
Temporal Graph Contrastive Learning for Sequential Recommendation
Shengzhe Zhang, Liyi Chen, Chao Wang et al.
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
Huimin Huang, Yawen Huang, Shiao Xie et al.
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
Megan Richards, Polina Kirichenko, Diane Bouchacourt et al.
Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes
Wenbo Hu, Hongjian Zhan, Xinchen Ma et al.
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
Yuan-Hong Liao, David Acuna, Rafid Mahmood et al.
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability
Dong Wu, Mingmin Chi, Xuan Zang et al.
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis
Shuo Yin, Guoqiang Zhong
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
Woosung Kim, Donghyeon Ki, Byung-Jun Lee
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
Jae-Hong Lee, Joon-Hyuk Chang
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation
Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion
MIND: Multi
Task Incremental Network Distillation
Far3D: Expanding the Horizon for Surround
View 3D Object Detection
MDGNN: Multi
Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
Partially Stochastic Infinitely Deep Bayesian Neural Networks
Sergio Calvo Ordoñez, Matthieu Meunier, Francesco Piatti et al.
Toward Open
Set Human-Object Interaction Detection
SphereDiffusion: Spherical Geometry
Aware Distortion Resilient Diffusion Model
DVANet: Disentangling View and Action Features for Multi
View Action Recognition
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
Mohannad Elhamod, Anuj Karpatne
Sparse3D: Distilling Multiview
Consistent Diffusion for Object Reconstruction from Sparse Views
Learning Planning Domains from Non
redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis
UniADS: Universal Architecture
Distiller Search for Distillation Gap
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
Authors: Wei Chen, Yuxuan Liu, Zhao Zhang et al.
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
Zixi Wei, Senlin Shu, Yuzhou Cao et al.
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang, Aly Khan, Yuxin Chen et al.
A Hybrid Global-Local Perception Network for Lane Detection
Authors: Qing Chang, Yifei Tong
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing
Jiayi Wei, Greg Durrett, Isil Dillig
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
Kesen Zhao, Liang Zhang
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data
Ayesha Vermani, Il Memming Park, Josue Nassar
Dynamic Tangled Derivative Logic of Metric Spaces
Authors: David Fernández-Duque, Yoàv Montacute
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization
Authors: Daizong Liu, Xiang Fang, Xiaoye Qu et al.
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image
Yukai Shi, Jianan Wang, He CAO et al.
G2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection
Authors: Yiwei Wei, Shaozu Yuan, Hengyang Zhou et al.
Latent Diffusion Transformer for Probabilistic Time Series Forecasting
Authors: Shibo Feng, Chunyan Miao, Zhong Zhang et al.
Periodicity Decoupling Framework for Long-term Series Forecasting
Tao Dai, Beiliang Wu, Peiyuan Liu et al.
General Stability Analysis for Zeroth-Order Optimization Algorithms
Xinyue Liu, Hualin Zhang, Bin Gu et al.
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
Tian Jin, Nolan Clement, Xin Dong et al.
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
Authors: Jintao Liu, Kaiwen Wei, Chenglong Liu
Context is Environment
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz et al.
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
Authors: Mingjiang Duan, Tongya Zheng, Yang Gao et al.
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
Authors: Shaojie Zhang, Chun Shen, Shuai Lü et al.
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
Authors: Rui Zhao, Ruiqin Xiong, Jian Zhang et al.
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
June Yong Yang, Geondo Park, Joowon Kim et al.
EQA-MX: Embodied Question Answering using Multimodal Expression
Md Mofijul Islam, Alexi Gladstone, Riashat Islam et al.
SAT-Based Algorithms for Regular Graph Pattern Matching
Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.
Learning in Online Principle-Agent Interactions: The Power of Menus
Minbiao Han, Michael Albert, Haifeng Xu