Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
16,178	16	Title: Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models Abstract: Medical Image Segmentation is crucial in various clinical applications within the medical domain. While state-of-the-art segmentation models have proven effective, integrating textual guidance to enhance visual featu...	[ 5852, 40669 ]	Train
16,179	31	Title: TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation Abstract: Large Language Models (LLMs) have demonstrated remarkable performance across diverse domains, thereby prompting researchers to explore their potential for use in recommendation systems. Initial attemp...	[ 14592, 40192, 4610, 34563, 13700, 21252, 32652, 45455, 27281, 18833, 25748, 42005, 3352, 45848, 13345, 30764, 16943, 10676, 9783, 4535, 34872, 9917, 67, 14282, 1611, 20432, 10069, 19159, 39639, 12251, 45406, 5744, 634, 13564 ]	Train
16,180	16	Title: Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation Abstract: Medical image analysis plays an important role in clinical diagnosis. In this paper, we examine the recent Segment Anything Model (SAM) on medical images, and report both qu...	[ 12704, 41008, 13876, 16440, 35641, 27866, 1151, 11199 ]	Train
16,181	23	Title: Retriever and Ranker Framework with Probabilistic Hard Negative Sampling for Code Search Abstract: Pretrained Language Models (PLMs) have emerged as the state-of-the-art paradigm for code search tasks. The paradigm involves pretraining the model on search-irrelevant tasks such as masked language modeling, follow...	[]	Train
16,182	15	Title: FPGA Implementation of Convolutional Neural Network for Real-Time Handwriting Recognition Abstract: Machine Learning (ML) has recently been a skyrocketing field in Computer Science. As computer hardware engineers, we are enthusiastic about hardware implementations of popular software ML architectures to optimize...	[]	Train
16,183	16	Title: CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation Abstract: We propose a new technique called CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation. Adversarial training is commonly used for learning domain-invariant re...	[]	Validation
16,184	16	Title: Multi-modal Expression Recognition with Ensemble Method Abstract: This paper presents our submission to the Expression Classification Challenge of the fifth Affective Behavior Analysis in-the-wild (ABAW) Competition. In our method, multimodal feature combinations extracted by several different pre-trained models...	[ 17321, 32166 ]	Validation
16,185	24	Title: FedSpectral+: Spectral Clustering using Federated Learning Abstract: Clustering in graphs has been a well-known research problem, particularly because most Internet and social network data is in the form of graphs. Organizations widely use spectral clustering algorithms to find clustering in graph datasets. Howe...	[]	Test
16,186	24	Title: Residual-based attention and connection to information bottleneck theory in PINNs Abstract: Driven by the need for more efficient and seamless integration of physical models and data, physics-informed neural networks (PINNs) have seen a surge of interest in recent years. However, ensuring the reliability of thei...	[ 32153 ]	Test
16,187	16	Title: Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching Abstract: In 3D point cloud-based visual self-localization, pole landmarks have a great potential as landmarks for accurate and reliable localization due to their long-term stability under seasonal and weather ch...	[]	Test
16,188	16	Title: Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise Abstract: Class activation maps are widely used for explaining deep neural networks. Due to its ability to highlight regions of interest, it has evolved in recent years as a key step in weakly su...	[]	Test
16,189	16	Title: OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning Abstract: Spatio-temporal predictive learning is a learning paradigm that enables models to learn spatial and temporal patterns by predicting future frames from given past frames in an unsupervised manner. Despite remarkable progress in re...	[]	Train
16,190	27	Title: TrajFlow: Learning the Distribution over Trajectories Abstract: Predicting the future behavior of human road users remains an open challenge for the development of risk-aware autonomous vehicles. An important aspect of this challenge is effectively capturing the uncertainty inherent to human behavior. This paper...	[ 22448 ]	Test
16,191	16	Title: Estimating Remaining Lifespan from the Face Abstract: The face is a rich source of information that can be utilized to infer a person's biological age, sex, phenotype, genetic defects, and health status. All of these factors are relevant for predicting an individual's remaining lifespan. In this study, we collec...	[]	Train
16,192	24	Title: The Tunnel Effect: Building Data Representations in Deep Neural Networks Abstract: Deep neural networks are widely known for their remarkable effectiveness across various tasks, with the consensus that deeper networks implicitly learn more complex data representations. This paper shows that sufficiently deep net...	[ 31569 ]	Test
16,193	10	Title: Integrating cognitive map learning and active inference for planning in ambiguous environments Abstract: Living organisms need to acquire both cognitive maps for learning the structure of the world and planning mechanisms able to deal with the challenges of navigating ambiguous environments. Although significant...	[]	Test
16,194	27	Title: RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with Progressive Reasoning Tasks Abstract: Recently, the advent of pre-trained large-scale language models (LLMs) like ChatGPT and GPT-4 have significantly advanced the machine's natural language understanding capabilities. This breakthrough has allo...	[ 40610, 13700, 19719, 41104, 39089, 29396, 8983, 3609, 35292, 13564 ]	Test
16,195	24	Title: Factors other than climate change are currently more important in predicting how well fruit farms are doing financially Abstract: Machine learning and statistical modeling methods were used to analyze the impact of climate change on financial wellbeing of fruit farmers in Tunisia and Chile. The analysis was base...	[]	Train
16,196	4	Title: DeFi and NFTs Hinder Blockchain Scalability Abstract: Many classical blockchains are known to have an embarrassingly low transaction throughput, down to Bitcoin's notorious seven transactions per second limit.Various proposals and implementations for increasing throughput emerged in the first decade of blockchai...	[ 22655 ]	Test
16,197	16	Title: FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs Abstract: Efficient detectors for edge devices are often optimized for parameters or speed count metrics, which remain in weak correlation with the energy of detectors. However, some vision applications of convolutional neural network...	[]	Test
16,198	24	Title: Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Abstract: Many existing reinforcement learning (RL) methods employ stochastic gradient iteration on the back end, whose stability hinges upon a hypothesis that the data-generating process mixes expo...	[ 9908 ]	Validation
16,199	5	Title: A simple protocol to automate the executing, scaling, and reconfiguration of Cloud-Native Apps Abstract: We propose a simple protocol for Service Mesh management. The protocol specification consists of the formats of messages, and the actions taken by senders and recipients. The idea is that microservices of Clo...	[]	Train
16,200	10	Title: Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI Abstract: Terahertz (THz) communication with ultra-wide available spectrum is a promising technique that can achieve the stringent requirement of high data rate in the next-generation wireless networks, yet its severe propagation attenuat...	[ 43113, 28097 ]	Train
16,201	24	Title: FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Abstract: Federated learning is an emerging distributed machine learning framework which jointly trains a global model via a large number of local devices with data privacy protections. Its performance suffers from the ...	[ 41253, 41065, 27627, 6222, 6223, 2194, 18682, 5212, 33374, 4095 ]	Train
16,202	25	Title: A Snoring Sound Dataset for Body Position Recognition: Collection, Annotation, and Analysis Abstract: Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a chronic breathing disorder caused by a blockage in the upper airways. Snoring is a prominent symptom of OSAHS, and previous studies have attempted to identi...	[]	Train
16,203	27	Title: Online and Predictive Warning System for Forced Lane Changes Using Risk Maps Abstract: The survival analysis of driving trajectories allows for holistic evaluations of car-related risks caused by collisions or curvy roads. This analysis has advantages over common Time-To-X indicators, such as its predictive and ...	[ 20458, 37347, 35262, 35827 ]	Train
16,204	24	Title: DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications Abstract: Along with the successful deployment of deep neural networks in several application domains, the need to unravel the black-box nature of these networks has seen a significant increase recently. Several methods have been in...	[]	Train
16,205	30	Title: CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing Abstract: In legal document writing, one of the key elements is properly citing the case laws and other sources to substantiate claims and arguments. Understanding the legal domain and identifying appropriate citation context or ci...	[]	Validation
16,206	16	Title: MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models Abstract: The advent of open-source AI communities has produced a cornucopia of powerful text-guided diffusion models that are trained on various datasets. While few explorations have been conducted on ensembling such models to...	[ 28532, 44757 ]	Train
16,207	16	Title: Lookaround Optimizer: k steps around, 1 step average Abstract: Weight Average (WA) is an active research topic due to its simplicity in ensembling deep networks and the effectiveness in promoting generalization. Existing weight average approaches, however, are often carried out along only one training trajectory...	[ 9853 ]	Train
16,208	24	Title: Optimistic Estimate Uncovers the Potential of Nonlinear Models Abstract: We propose an optimistic estimate to evaluate the best possible fitting performance of nonlinear models. It yields an optimistic sample size that quantifies the smallest possible sample size to fit/recover a target function using a nonlinea...	[]	Train
16,209	34	Title: Breaking 3-Factor Approximation for Correlation Clustering in Polylogarithmic Rounds Abstract: In this paper, we study parallel algorithms for the correlation clustering problem, where every pair of two different entities is labeled with similar or dissimilar. The goal is to partition the entities into clusters ...	[]	Train
16,210	16	Title: Contrastive Multi-Task Dense Prediction Abstract: This paper targets the problem of multi-task dense prediction which aims to achieve simultaneous learning and inference on a bunch of multiple dense prediction tasks in a single framework. A core objective in design is how to effectively model cross-task interact...	[ 8102, 40599 ]	Test
16,211	1	Title: Immersive Media and Massive Twinning: Advancing Towards the Metaverse Abstract: The advent of the Metaverse concept has further expedited the evolution of haptic, tactile internet, and multimedia applications with their VR/AR/XR services, and therefore, fully-immersive sensing is most likely to define the next g...	[]	Train
16,212	23	Title: A Full-fledged Commit Message Quality Checker Based on Machine Learning Abstract: Commit messages (CMs) are an essential part of version control. By providing important context in regard to what has changed and why, they strongly support software maintenance and evolution. But writing good CMs is difficult and o...	[]	Validation
16,213	27	Title: Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition Using Kinematic Data Abstract: Fine-grained activity recognition enables explainable analysis of procedures for skill assessment, autonomy, and error detection in robot-assisted surgery. However, exi...	[]	Train
16,214	10	Title: Large Language Models Are State-of-the-Art Evaluators of Code Generation Abstract: Recent advancements in the field of natural language generation have facilitated the use of large language models to assess the quality of generated text. Although these models have shown promising results in tasks such as machine...	[ 10976, 38208, 39041, 34208, 18786, 32450, 15952, 22578, 25522, 14869, 11190, 16822, 39451, 17789, 23359 ]	Train
16,215	10	Title: Clingraph: A System for ASP-based Visualization Abstract: We present the ASP-based visualization tool, clingraph, which aims at visualizing various concepts of ASP by means of ASP itself. This idea traces back to the aspviz tool and clingraph redevelops and extends it in the context of modern ASP systems. More p...	[]	Train
16,216	24	Title: Advancing Ad Auction Realism: Practical Insights & Modeling Implications Abstract: This paper proposes a learning model of online ad auctions that allows for the following four key realistic characteristics of contemporary online auctions: (1) ad slots can have different values and click-through rates depending ...	[]	Train
16,217	28	Title: On the Direct Construction of MDS and Near-MDS Matrices Abstract: The optimal branch number of MDS matrices makes them a preferred choice for designing diffusion layers in many block ciphers and hash functions. Consequently, various methods have been proposed for designing MDS matrices, including search and dire...	[]	Train
16,218	16	Title: Synthetic Data-based Detection of Zebras in Drone Imagery Abstract: Nowadays, there is a wide availability of datasets that enable the training of common object detectors or human detectors. These come in the form of labelled real-world images and require either a significant amount of human effort, with a high ...	[ 2712 ]	Train
16,219	16	Title: Polynomial Implicit Neural Representations For Large Diverse Datasets Abstract: Implicit neural representations (INR) have gained significant popularity for signal and image representation for many end-tasks, such as superresolution, 3D modeling, and more. Most INR architectures rely on sinusoidal positional enc...	[ 219 ]	Train
16,220	36	Title: Size-stochastic Knapsack Online Contention Resolution Schemes Abstract: Online contention resolution schemes (OCRSs) are effective rounding techniques for online stochastic combinatorial optimization problems. These schemes randomly and sequentially round a fractional solution to a relaxed problem that can be fo...	[]	Train
16,221	4	Title: Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots Abstract: Recent advances in natural language processing and machine learning have led to the development of chatbot models, such as ChatGPT, that can engage in conversational dialogue with human users. However, the ability of these models to gener...	[ 10848, 17061, 24614, 45929, 34987, 40433, 33757, 6942 ]	Test
16,222	24	Title: On the effectiveness of neural priors in modeling dynamical systems Abstract: Modelling dynamical systems is an integral component for understanding the natural world. To this end, neural networks are becoming an increasingly popular candidate owing to their ability to learn complex functions from large amounts ...	[]	Validation
16,223	16	Title: Table Detection for Visually Rich Document Images Abstract: Table Detection (TD) is a fundamental task towards visually rich document understanding. Current studies usually formulate the TD problem as an object detection problem, then leverage Intersection over Union (IoU) based metrics to evaluate the model per...	[ 31700 ]	Train
16,224	15	Title: Computation vs. Communication Scaling for Future Transformers on Future Hardware Abstract: Scaling neural network models has delivered dramatic quality gains across ML problems. However, this scaling has increased the reliance on efficient distributed training techniques. Accordingly, as with other distributed c...	[]	Train
16,225	30	Title: Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization Abstract: Generating persona consistent dialogue response is important for developing an intelligent conversational agent. Recent works typically fine-tune large-scale pre-trained models on this task by concatenat...	[ 10791 ]	Train
16,226	24	Title: On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning Abstract: This paper jointly considers privacy preservation and Byzantine-robustness in decentralized learning. In a decentralized network, honest-but-curious agents faithfully follow the prescribed algorithm, but exp...	[ 13777 ]	Test
16,227	24	Title: Anti-Exploration by Random Network Distillation Abstract: Despite the success of Random Network Distillation (RND) in various domains, it was shown as not discriminative enough to be used as an uncertainty estimator for penalizing out-of-distribution actions in offline reinforcement learning. In this paper, we r...	[ 27504, 35267, 12790 ]	Train
16,228	7	Title: Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images Abstract: Digitized histopathology glass slides, known as Whole Slide Images (WSIs), are often several gigapixels large and contain sensitive metadata information, which makes distributed processing unfeasible. Mor...	[ 17602 ]	Train
16,229	24	Title: Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization Abstract: Multi-objective reinforcement learning (MORL) algorithms tackle sequential decision problems where agents may have different preferences over (possibly conflicting) reward functions. Such algorithms often learn ...	[]	Train
16,230	30	Title: SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models Abstract: Despite achieving remarkable performance on various vision-language tasks, Transformer-based pretrained vision-language models (VLMs) still suffer from efficiency issues arising from long inputs and numerous paramete...	[ 10624, 13315 ]	Train
16,231	22	Title: Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing Abstract: We study the foundations of variational inference, which frames posterior inference as an optimisation problem, for probabilistic programming. The dominant approach for optimisation in practice is stochastic gradie...	[ 18462 ]	Validation
16,232	16	Title: Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following Abstract: Humans, even at a very early age, can learn visual concepts and understand geometry and layout through active interaction with the environment, and generalize their compositions to complete tasks de...	[ 2497, 15138, 28839, 5321, 40202, 16524, 20175 ]	Train
16,233	24	Title: Convolutional Neural Operators for robust and accurate learning of PDEs Abstract: Although very successfully used in conventional machine learning, convolution based neural network architectures -- believed to be inconsistent in function space -- have been largely ignored in the context of learning solution oper...	[ 11475, 1116 ]	Test
16,234	16	Title: Mobile Mapping Mesh Change Detection and Update Abstract: Mobile mapping, in particular, Mobile Lidar Scanning (MLS) is increasingly widespread to monitor and map urban scenes at city scale with unprecedented resolution and accuracy. The resulting point cloud sampling of the scene geometry can be meshed in order...	[]	Validation
16,235	30	Title: Alleviating Over-smoothing for Unsupervised Sentence Representation Abstract: Currently, learning better unsupervised sentence representations is the pursuit of many natural language processing communities. Lots of approaches based on pre-trained language models (PLMs) and contrastive learning have achieved prom...	[ 24642 ]	Train
16,236	30	Title: Effective Neural Topic Modeling with Embedding Clustering Regularization Abstract: Topic models have been prevalent for decades with various applications. However, existing topic models commonly suffer from the notorious topic collapsing: discovered topics semantically collapse towards each other, leading to hig...	[ 3890, 22238, 11782 ]	Validation
16,237	10	Title: Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Abstract: Achieving coordination between humans and artificial intelligence in scenarios involving previously unencountered humans remains a substantial obstacle within Zero-Shot Human-AI Coordination, which aims to develop AI agents capabl...	[ 38353, 3899 ]	Train
16,238	33	Title: The Simplest Proof of Parikh's Theorem via Derivation Trees Abstract: Parikh's theorem is a fundamental result of the formal language's theory. There had been published many proofs and many papers claimed to provide a simplified proof, but most of them are long and still complicated. We provide the proof that is...	[]	Train
16,239	27	Title: An NMPC-ECBF Framework for Dynamic Motion Planning and Execution in vision-based Human-Robot Collaboration Abstract: To enable safe and effective human-robot collaboration (HRC) in smart manufacturing, seamless integration of sensing, cognition, and prediction into the robot controller is critical for real-time ...	[]	Train
16,240	16	Title: Knowledge Restore and Transfer for Multi-label Class-Incremental Learning Abstract: Current class-incremental learning research mainly focuses on single-label classification tasks while multi-label class-incremental learning (MLCIL) with more practical application scenarios is rarely studied. Although there have...	[ 4153 ]	Test
16,241	16	Title: SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction Abstract: We address the problem of clothed human reconstruction from a single image or uncalibrated multiview images. existing methods struggle with reconstructing detailed geometry of a clothed human and often require a cali...	[ 11473 ]	Train
16,242	16	Title: Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches Abstract: The adversarial patch attack aims to fool image classifiers within a bounded, contiguous region of arbitrary changes, posing a real threat to computer vision systems (e.g., autonomous driving, content moderation, bi...	[]	Train
16,243	27	Title: GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts Abstract: Model predictive control (MPC) is a popular approach for trajectory optimization in practical robotics applications. MPC policies can optimize trajectory parameters under kin...	[ 33715, 13564 ]	Test
16,244	30	Title: DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification Abstract: Neural Architecture Search (NAS) has shown promising capability in learning text representation. However, existing text-based NAS neither performs a learnable fusion of neural operations to optimize the architecture, n...	[]	Train
16,245	24	Title: Simplex Autoencoders Abstract: Synthetic data generation is increasingly important due to privacy concerns. While Autoencoder-based approaches have been widely used for this purpose, sampling from their latent spaces can be challenging. Mixture models are currently the most efficient way to sample from these spa...	[]	Train
16,246	16	Title: Ambigram Generation by A Diffusion Model Abstract: Ambigrams are graphical letter designs that can be read not only from the original direction but also from a rotated direction (especially with 180 degrees). Designing ambigrams is difficult even for human experts because keeping their dual readability from both...	[]	Train
16,247	16	Title: HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning Abstract: A great deal of progress has been made in image captioning, driven by research into how to encode the image using pre-trained models. This includes visual encodings (e.g. image grid features or detected objects) and more recently te...	[]	Validation
16,248	16	Title: Détection d'Objets dans les documents numérisés par réseaux de neurones profonds Abstract: In this thesis, we study multiple tasks related to document layout analysis such as the detection of text lines, the splitting into acts or the detection of the writing support. Thus, we propose two deep neural models foll...	[]	Train
16,249	23	Title: Using Knowledge Units of Programming Languages to Recommend Reviewers for Pull Requests: An Empirical Study Abstract: Code review is a key element of quality assurance in software development. Determining the right reviewer for a given code change requires understanding the characteristics of the changed code, i...	[]	Train
16,250	36	Title: Reward Selection with Noisy Observations Abstract: We study a fundamental problem in optimization under uncertainty. There are $n$ boxes; each box $i$ contains a hidden reward $x_i$. Rewards are drawn i.i.d. from an unknown distribution $\mathcal{D}$. For each box $i$, we see $y_i$, an unbiased estimate of its r...	[]	Test
16,251	16	Title: Correlation Pyramid Network for 3D Single Object Tracking Abstract: 3D LiDAR-based single object tracking (SOT) has gained increasing attention as it plays a crucial role in 3D applications such as autonomous driving. The central problem is how to learn a target-aware representation from the sparse and incomplet...	[ 30669, 26484, 19716 ]	Test
16,252	16	Title: SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device Abstract: With the rapid development of AI hardware accelerators, applying deep learning-based algorithms to solve various low-level vision tasks on mobile devices has gradually become possible....	[]	Train
16,253	30	Title: Creation and evaluation of timelines for longitudinal user posts Abstract: There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts into timelines in a meaningful way that improves the quali...	[]	Train
16,254	8	Title: Multivariate, Multi-step, and Spatiotemporal Traffic Prediction for NextG Network Slicing under SLA Constraints Abstract: This study presents a spatiotemporal traffic prediction approach for NextG mobile networks, ensuring the service-level agreements (SLAs) of each network slice. Our approach is multivariate, m...	[]	Validation
16,255	16	Title: SiLK - Simple Learned Keypoints Abstract: Keypoint detection&descriptors are foundational tech- nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like Harris corners, SIFT, and HOG descriptors have been used for decades; more recently, there ha...	[ 42522, 25370 ]	Train
16,256	24	Title: Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Abstract: Recent works in learning-integrated optimization have shown promise in settings where the optimization problem is only partially observed or where general-purpose optimizers perform poorly without expe...	[]	Train
16,257	24	Title: Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models Abstract: Stochastic optimization (SO) attempts to offer optimal decisions in the presence of uncertainty. Often, the classical formulation of these problems becomes intractable due to (a) the number of scenarios required to c...	[]	Test
16,258	27	Title: Pendulum Actuated Spherical Robot: Dynamic Modeling & Analysis for Wobble & Precession Abstract: A spherical robot has many practical advantages as the entire electronics are protected within a hull and can be carried easily by any Unmanned Aerial Vehicle (UAV). However, its use is limited due to finding mounts ...	[ 26456 ]	Validation
16,259	28	Title: Efficient Circuit-Level Implementation of Knuth-Based Balanced and Nearly-Balanced Codes Abstract: Coding schemes are often used in high-speed processor-processor or processor-memory busses in digital systems. In particular, we have introduced (in a 2012 DesignCon paper) a zero sum (ZS) signaling method which us...	[]	Train
16,260	16	Title: Transformers in Single Object Tracking: An Experimental Survey Abstract: Single-object tracking is a well-known and challenging research topic in computer vision. Over the last two decades, numerous researchers have proposed various algorithms to solve this problem and achieved promising results. Recently, Trans...	[ 32003, 3951, 26484, 3866, 15675 ]	Train
16,261	24	Title: Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Abstract: Since the recent advent of regulations for data protection (e.g., the General Data Protection Regulation), there has been increasing demand in deleting information learned from sensitive data in pre-trained models without retrain...	[ 5932 ]	Train
16,262	16	Title: CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers Abstract: Vision-language models have achieved tremendous progress far beyond what we ever expected. However, their computational costs and latency are also dramatically growing with rapid development, making model accelerati...	[ 10624, 13315, 41244, 37987 ]	Train
16,263	38	Title: MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries Abstract: Metadata quality is crucial for digital objects to be discovered through digital library interfaces. However, due to various reasons, the metadata of digital objects often exhibits incomplete, inco...	[]	Test
16,264	36	Title: Best of Both Distortion Worlds Abstract: We study the problem of designing voting rules that take as input the ordinal preferences of n agents over a set of n alternatives and output a single alternative, aiming to optimize the overall happiness of the agents. The input to the voting rule is each agent's ranking...	[ 33496, 3145, 987, 36309 ]	Validation
16,265	10	Title: Trustworthy Federated Learning: A Survey Abstract: Federated Learning (FL) has emerged as a significant advancement in the field of Artificial Intelligence (AI), enabling collaborative model training across distributed devices while maintaining data privacy. As the importance of FL increases, addressing trustwor...	[ 5648, 19461, 6598, 19639 ]	Train
16,266	16	Title: Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data Abstract: Renal cell carcinoma represents a significant global health challenge with a low survival rate. This research aimed to devise a comprehensive deep-learning model capable of predicting surv...	[]	Train
16,267	36	Title: Zero-determinant strategy in stochastic Stackelberg asymmetric security game Abstract: nan	[]	Train
16,268	24	Title: Omnipotent Adversarial Training for Unknown Label-noisy and Imbalanced Datasets Abstract: Adversarial training is an important topic in robust deep learning, but the community lacks attention to its practical usage. In this paper, we aim to resolve a real-world application challenge, i.e., training a model on an...	[]	Train
16,269	7	Title: Connecting continuum poroelasticity with discrete synthetic vascular trees for modeling liver tissue Abstract: Computational simulations have the potential to assist in liver resection surgeries by facilitating surgical planning, optimizing resection strategies, and predicting postoperative outcomes. The modelin...	[]	Test
16,270	26	Title: Space-Invariant Projection in Streaming Network Embedding Abstract: Newly arriving nodes in dynamics networks would gradually make the node embedding space drifted and the retraining of node embedding and downstream models indispensable. An exact threshold size of these new nodes, below which the node embedding ...	[]	Train
16,271	16	Title: Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations Abstract: SplitFed Learning, a combination of Federated and Split Learning (FL and SL), is one of the most recent developments in the decentralized machine learning domain. In SplitFed learning, a model is trained...	[ 12793 ]	Train
16,272	24	Title: GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data Abstract: Vertical federated learning (VFL) is a distributed learning paradigm, where computing clients collectively train a model based on the partial features of the same set of samples they possess. Curren...	[]	Train
16,273	24	Title: IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies Abstract: Effective offline RL methods require properly handling out-of-distribution actions. Implicit Q-learning (IQL) addresses this by training a Q-function using only dataset actions through a modified Bellman backup. However, it is ...	[ 15201, 8994, 34215, 9384, 44649, 31308, 15247, 44566, 16407, 17529, 43965, 5247 ]	Train
16,274	30	Title: SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research Abstract: Recently, there has been growing interest in using Large Language Models (LLMs) for scientific research. Numerous benchmarks have been proposed to evaluate the ability of LLMs for scientific research. However, curr...	[ 39554, 13700, 33220, 1575, 7695, 45494, 12602, 9403 ]	Validation
16,275	23	Title: Industry Practices for Challenging Autonomous Driving Systems with Critical Scenarios Abstract: Testing autonomous driving systems for safety and reliability is extremely complex. A primary challenge is identifying the relevant test scenarios, especially the critical ones that may expose hazards or risks of harm...	[]	Train
16,276	24	Title: On the Convergence of No-Regret Learning Dynamics in Time-Varying Games Abstract: Most of the literature on learning in games has focused on the restrictive setting where the underlying repeated game does not change over time. Much less is known about the convergence of no-regret learning algorithms in dynamic m...	[ 7209, 38748, 39406 ]	Test
16,277	23	Title: A Vision for Flexibile GLSP-based Web Modeling Tools Abstract: In the past decade, the modeling community has produced many feature-rich modeling editors and tool prototypes not only for modeling standards but particularly also for many domain-specific languages. More recently, however, web-based modeling tools ...	[]	Test

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.