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
26,478	31	Title: Taking Search to Task Abstract: The importance of tasks in information retrieval (IR) has been long argued for, addressed in different ways, often ignored, and frequently revisited. For decades, scholars made a case for the role that a user’s task plays in how and why that user engages in search and what a searc...	[]	Test
26,479	26	Title: Exact and rapid linear clustering of networks with dynamic programming Abstract: We study the problem of clustering networks whose nodes have imputed or physical positions in a single dimension, for example prestige hierarchies or the similarity dimension of hyperbolic embeddings. Existing algorithms, such as th...	[ 28043, 5135 ]	Train
26,480	5	Title: A Further Study of Linux Kernel Hugepages on A64FX with FLASH, an Astrophysical Simulation Code Abstract: We present an expanded study of the performance of FLASH when using Linux Kernel Hugepages on Ookami, an HPE Apollo 80 A64FX platform. FLASH is a multi-scale, multi-physics simulation code written principall...	[]	Train
26,481	24	Title: Enabling hard constraints in differentiable neural network and accelerator co-exploration Abstract: Co-exploration of an optimal neural architecture and its hardware accelerator is an approach of rising interest which addresses the computational cost problem, especially in low-profile systems. The large co-explo...	[]	Train
26,482	16	Title: Token Sparsification for Faster Medical Image Segmentation Abstract: Can we use sparse tokens for dense prediction, e.g., segmentation? Although token sparsification has been applied to Vision Transformers (ViT) to accelerate classification, it is still unknown how to perform segmentation from sparse tokens. To ...	[]	Validation
26,483	39	Title: On RAC Drawings of Graphs with Two Bends per Edge Abstract: It is shown that every $n$-vertex graph that admits a 2-bend RAC drawing in the plane, where the edges are polylines with two bends per edge and any pair of edges can only cross at a right angle, has at most $20n-24$ edges for $n\geq 3$. This improves u...	[ 10573 ]	Train
26,484	16	Title: MixFormer: End-to-End Tracking with Iterative Mixed Attention Abstract: Tracking often uses a multistage pipeline of feature extraction, target information integration, and bounding box estimation. To simplify this pipeline and unify the process of feature extraction and target information integration, we presen...	[ 16260, 25084, 22662, 11529, 23564, 23182, 3216, 37393, 23570, 40978, 8214, 22680, 43805, 38694, 18727, 14120, 20785, 38457, 15675, 22972, 33724, 8767, 33348, 15832, 41688, 30684, 22627, 42854, 21608, 11241, 3951, 24693, 29173, 16251, 11388, 9085 ...	Test
26,485	30	Title: The Learnability of In-Context Learning Abstract: In-context learning is a surprising and important phenomenon that emerged when modern language models were scaled to billions of learned parameters. Without modifying a large language model's weights, it can be tuned to perform various downstream natural language...	[ 27880, 8911, 35250, 3795, 21300, 23447 ]	Train
26,486	36	Title: A Strategy-proof Mechanism For Networked Housing Markets Abstract: This paper studies a house allocation problem in a networked housing market, where agents can invite others to join the system in order to enrich their options. Top Trading Cycle is a well-known matching mechanism that achieves a set of desirable...	[]	Train
26,487	31	Title: Analysing the Resourcefulness of the Paragraph for Precedence Retrieval Abstract: Developing methods for extracting relevant legal information to aid legal practitioners is an active research area. In this regard, research efforts are being made by leveraging different kinds of information, such as meta-data, ci...	[]	Test
26,488	24	Title: Enhancing High-dimensional Bayesian Optimization by Optimizing the Acquisition Function Maximizer Initialization Abstract: Bayesian optimization (BO) is widely used to optimize black-box functions. It works by first building a surrogate for the objective and quantifying the uncertainty in that surrogate. It then...	[]	Validation
26,489	30	Title: Prompt-Learning for Cross-Lingual Relation Extraction Abstract: Relation Extraction (RE) is a crucial task in Information Extraction, which entails predicting relationships between entities within a given sentence. However, extending pre-trained RE models to other languages is challenging, particularly in real-w...	[ 15049, 5891, 15547 ]	Test
26,490	36	Title: Safe Opponent Exploitation For Epsilon Equilibrium Strategies Abstract: In safe opponent exploitation players hope to exploit their opponents' potentially sub-optimal strategies while guaranteeing at least the value of the game in expectation for themselves. Safe opponent exploitation algorithms have been succes...	[]	Validation
26,491	16	Title: Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning Abstract: We propose DiRL, a Diversity-inducing Representation Learning technique for histopathology imaging. Self-supervised learning techniques, such as contrastive and non-contrastive approaches, have been sho...	[ 19787 ]	Train
26,492	27	Title: Safe Explicable Robot Planning Abstract: Human expectations stem from their knowledge of the others and the world. Where human-robot interaction is concerned, such knowledge about the robot may be inconsistent with the ground truth, resulting in the robot not meeting its expectations. Explicable planning was pre...	[]	Validation
26,493	31	Title: Evaluating the Robustness of Conversational Recommender Systems by Adversarial Examples Abstract: Conversational recommender systems (CRSs) are improving rapidly, according to the standard recommendation accuracy metrics. However, it is essential to make sure that these systems are robust in interacting with use...	[]	Train
26,494	16	Title: Multi-layer Aggregation as a key to feature-based OOD detection Abstract: Deep Learning models are easily disturbed by variations in the input images that were not observed during the training stage, resulting in unpredictable predictions. Detecting such Out-of-Distribution (OOD) images is particularly crucial i...	[]	Train
26,495	30	Title: Neural Machine Translation Data Generation and Augmentation using ChatGPT Abstract: Neural models have revolutionized the field of machine translation, but creating parallel corpora is expensive and time-consuming. We investigate an alternative to manual parallel corpora - hallucinated parallel corpora created b...	[ 1789 ]	Train
26,496	4	Title: Threat Modelling in Virtual Assistant Hub Devices Compared With User Risk Perceptions (2021) Abstract: Despite increasing uptake, there are still many concerns as to the security of virtual assistant hubs (such as Google Nest and Amazon Alexa) in the home. Consumer fears have been somewhat exacerbated by widely-...	[]	Train
26,497	30	Title: USTEP: Structuration des logs en flux grâce à un arbre de recherche évolutif Abstract: Logs record valuable system information at runtime. They are widely used by data-driven approaches for development and monitoring purposes. Parsing log messages to structure their format is a classic preliminary step for log-m...	[]	Train
26,498	16	Title: RemoteCLIP: A Vision Language Foundation Model for Remote Sensing Abstract: General-purpose foundation models have become increasingly important in the field of artificial intelligence. While self-supervised learning (SSL) and Masked Image Modeling (MIM) have led to promising results in building such foundation ...	[ 10624, 12546, 37987, 33220, 30243, 9478, 3016, 19433, 19787, 6124, 41517, 29999, 43024, 8084, 5852 ]	Train
26,499	16	Title: Pillar R-CNN for Point Cloud 3D Object Detection Abstract: The performance of point cloud 3D object detection hinges on effectively representing raw points, grid-based voxels or pillars. Recent two-stage 3D detectors typically take the point-voxel-based R-CNN paradigm, i.e., the first stage resorts to the 3D vox...	[]	Train
26,500	3	Title: Toward Learning Societies for Digital Aging Abstract: The global aging population presents significant challenges for societies worldwide, particularly in an increasingly digitalized era. The Learning Society is crucial in preparing different societies and their people to address these challenges effectively. Th...	[]	Train
26,501	30	Title: A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023 Abstract: This paper describes our participation in the MentalRiskES task at IberLEF 2023. The task involved predicting the likelihood of an individual experiencing depression based on their social media activity. The dataset consi...	[ 32797, 21574 ]	Validation
26,502	16	Title: Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data Abstract: How to automatically synthesize natural-looking dance movements based on a piece of music is an incrementally popular yet challenging task. Most existing data-driven approaches require hard-to-get paired training data and fail to generate ...	[]	Train
26,503	28	Title: A lower bound on the field size of convolutional codes with a maximum distance profile and an improved construction Abstract: Convolutional codes with a maximum distance profile attain the largest possible column distances for the maximum number of time instants and thus have outstanding error-correcting capabil...	[]	Test
26,504	4	Title: A Survey of Local Differential Privacy and Its Variants Abstract: The introduction and advancements in Local Differential Privacy (LDP) variants have become a cornerstone in addressing the privacy concerns associated with the vast data produced by smart devices, which forms the foundation for data-driven decisio...	[]	Train
26,505	28	Title: On Lattice Constructions D and D' from q-ary Linear Codes Abstract: Multilevel lattice codes, such as those associated to Constructions $C$, $\overline{D}$, D and D', have relevant applications in communications. In this paper, we investigate some properties of lattices obtained via Constructions D and D' from $...	[]	Validation
26,506	28	Title: Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces Abstract: In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate inference at the wireless edge, in the context of 6G networks endowed with reconfigurable intelligent s...	[ 32701 ]	Train
26,507	27	Title: The Busboy Problem: Efficient Tableware Decluttering Using Consolidation and Multi-Object Grasps Abstract: We present the"Busboy Problem": automating an efficient decluttering of cups, bowls, and silverware from a planar surface. As grasping and transporting individual items is highly inefficient, we propose pol...	[]	Validation
26,508	16	Title: Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network Abstract: State-of-the-art multimodal semantic segmentation approaches combining LiDAR and color data are usually designed on top of asymmetric information-sharing schemes and assume that both modalities are always avail...	[]	Train
26,509	16	Title: DFR: Depth from Rotation by Uncalibrated Image Rectification with Latitudinal Motion Assumption Abstract: Despite the increasing prevalence of rotating-style capture (e.g., surveillance cameras), conventional stereo rectification techniques frequently fail due to the rotation-dominant motion and small baseline b...	[]	Test
26,510	24	Title: SARC: Soft Actor Retrospective Critic Abstract: The two-time scale nature of SAC, which is an actor-critic algorithm, is characterised by the fact that the critic estimate has not converged for the actor at any given time, but since the critic learns faster than the actor, it ensures eventual consistency between...	[]	Train
26,511	24	Title: Classification of social media Toxic comments using Machine learning models Abstract: The abstract outlines the problem of toxic comments on social media platforms, where individuals use disrespectful, abusive, and unreasonable language that can drive users away from discussions. This behavior is referred to as ...	[]	Test
26,512	16	Title: Noise robust neural network architecture Abstract: In which we propose neural network architecture (dune neural network) for recognizing general noisy image without adding any artificial noise in the training data. By representing each free parameter of the network as an uncertainty interval, and applying a line...	[]	Train
26,513	5	Title: Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning Abstract: As an efficient distributed machine learning approach, Federated learning (FL) can obtain a shared model by iterative local model training at the user side and global model aggregating at the central server ...	[]	Train
26,514	27	Title: 3D Printed Proprioceptive Soft Fluidic Actuators with graded porosity Abstract: Integration of both actuation and proprioception into the robot body enables sensorized soft actuators that can operate in a closed loop. An interesting class of actuators for this purpose are graded porous actuators, which can be me...	[ 42232 ]	Test
26,515	16	Title: HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering Abstract: We consider the challenging task of training models for image-to-video deblurring, which aims to recover a sequence of sharp images corresponding to a given blurry image input. A critical issue disturbing the training of an...	[]	Train
26,516	24	Title: Hypernetworks build Implicit Neural Representations of Sounds Abstract: Implicit Neural Representations (INRs) are nowadays used to represent multimedia signals across various real-life applications, including image super-resolution, image compression, or 3D rendering. Existing methods that leverage INRs are pre...	[]	Test
26,517	24	Title: Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Abstract: Sharpness-Aware Minimization (SAM) is an effective method for improving generalization ability by regularizing loss sharpness. In this paper, we explore SAM in the context of adversarial robustness. We find that using only SAM can ac...	[ 41352, 17851 ]	Train
26,518	16	Title: Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal Abstract: Stereo vision systems have become popular in computer vision applications, such as 3D reconstruction, object tracking, and autonomous navigation. However, traditional stereo vision systems that use rectilinear l...	[]	Validation
26,519	4	Title: To What Extent Are Honeypots and Honeynets Autonomic Computing Systems? Abstract: Cyber threats, such as advanced persistent threats (APTs), ransomware, and zero-day exploits, are rapidly evolving and demand improved security measures. Honeypots and honeynets, as deceptive systems, offer valuable insights into a...	[ 18956 ]	Test
26,520	27	Title: Design of Mobile Manipulator for Fire Extinguisher Testing. Part I Key Specifications and Conceptual Design Abstract: All flames are extinguished as early as possible, or fire services have to deal with major conflagrations. This leads to the fact that the quality of fire extinguishers has become a very sensitiv...	[]	Validation
26,521	24	Title: Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning Abstract: In safety-critical decision-making scenarios being able to identify worst-case outcomes, or dead-ends is crucial in order to develop safe and reliable policies in practice. These situations are typically rife with ...	[ 8336, 17350 ]	Test
26,522	16	Title: Protocon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning Abstract: Confidence-based pseudo-labeling is among the dominant approaches in semi-supervised learning (SSL). It relies on including high-confidence predictions made on unlabeled data as a...	[]	Test
26,523	30	Title: ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach Abstract: One of the main tasks of Natural Language Processing (NLP), is Named Entity Recognition (NER). It is used in many applications and also can be used as an intermediate step for other tasks. We present ANER, a web-based na...	[]	Train
26,524	4	Title: Entanglement-based Mutual Quantum Distance Bounding Abstract: Mutual distance bounding (DB) protocols enable two distrusting parties to establish an upper-bound on the distance between them. DB has been so far mainly considered in classical settings and for classical applications, especially in wireless settings...	[]	Test
26,525	24	Title: PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference Abstract: Field-programmable gate arrays (FPGAs) are widely used to implement deep learning inference. Standard deep neural network inference involves the computation of interleaved linear maps and nonlinear activation functio...	[]	Train
26,526	24	Title: Adaptive learning of density ratios in RKHS Abstract: Estimating the ratio of two probability densities from finitely many observations of the densities is a central problem in machine learning and statistics with applications in two-sample testing, divergence estimation, generative modeling, covariate shift ada...	[]	Validation
26,527	27	Title: Multi-Level Compositional Reasoning for Interactive Instruction Following Abstract: Robotic agents performing domestic chores by natural language directives are required to master the complex job of navigating environment and interacting with objects in the environments. The tasks given to the agents are often c...	[ 36682, 18812 ]	Train
26,528	25	Title: Exposing AI-Synthesized Human Voices Using Neural Vocoder Artifacts Abstract: The advancements of AI-synthesized human voices have introduced a growing threat of impersonation and disinformation. It is therefore of practical importance to developdetection methods for synthetic human voices. This work proposes a ...	[]	Train
26,529	16	Title: A Parameter-efficient Multi-subject Model for Predicting fMRI Activity Abstract: This is the Algonauts 2023 submission report for team"BlobGPT". Our model consists of a multi-subject linear encoding head attached to a pretrained trunk model. The multi-subject head consists of three components: (1) a shared multi...	[ 4849, 10538, 4643, 6121 ]	Validation
26,530	24	Title: TGRL: An Algorithm for Teacher Guided Reinforcement Learning Abstract: Learning from rewards (i.e., reinforcement learning or RL) and learning to imitate a teacher (i.e., teacher-student learning) are two established approaches for solving sequential decision-making problems. To combine the benefits of these dif...	[]	Train
26,531	16	Title: Human Motion Detection Based on Dual-Graph and Weighted Nuclear Norm Regularizations Abstract: Motion detection has been widely used in many applications, such as surveillance and robotics. Due to the presence of the static background, a motion video can be decomposed into a low-rank background and a sparse fore...	[]	Train
26,532	16	Title: Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization Abstract: Accurate weight estimation and morphometric analyses are useful in aquaculture for optimizing feeding, predicting harvest yields, identifying desirable traits for selective breeding, grading processes, a...	[]	Test
26,533	24	Title: POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance Abstract: Partially Observable Markov Decision Processes (POMDPs) can model complex sequential decision-making problems under stochastic and uncertain environments. A main reason hindering their bro...	[]	Train
26,534	10	Title: Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective Abstract: Plant biomass estimation is critical due to the variability of different environmental factors and crop management practices associated with it. The assessment is largely impacted by the accurate prediction of different e...	[]	Train
26,535	10	Title: Neural Amortized Inference for Nested Multi-agent Reasoning Abstract: Multi-agent interactions, such as communication, teaching, and bluffing, often rely on higher-order social inference, i.e., understanding how others infer oneself. Such intricate reasoning can be effectively modeled through nested multi-agent ...	[]	Test
26,536	6	Title: Edge Computing Empowered Tactile Internet for Human Digital Twin: Visions and Case Study Abstract: Tactile Internet (TI), with the capability of providing multisensory haptic human-machine interactions, is envisioned as a key enabling technology for an emerging application, called human digital twin (HDT). HDT i...	[]	Validation
26,537	23	Title: Who is the Real Hero? Measuring Developer Contribution via Multi-dimensional Data Integration Abstract: Proper incentives are important for motivating developers in open-source communities, which is crucial for maintaining the development of open-source software healthy. To provide such incentives, an accurate a...	[ 25537, 15234 ]	Validation
26,538	28	Title: Capturing and Interpreting Unique Information Abstract: Partial information decompositions (PIDs), which quantify information interactions between three or more variables in terms of uniqueness, redundancy and synergy, are gaining traction in many application domains. However, our understanding of the operationa...	[ 27283, 28806 ]	Train
26,539	16	Title: AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets Abstract: Skin lesion segmentation (SLS) plays an important role in skin lesion analysis. Vision transformers (ViTs) are considered an auspicious solution for SLS, but they require more training data compared to convolutional neural n...	[ 32423 ]	Validation
26,540	4	Title: Reduction of the secret key length in the perfect cipher by data compression and randomisation Abstract: Perfect ciphers have been a very attractive cryptographic tool ever since C. Shannon described them. Note that, by definition, if a perfect cipher is used, no one can get any information about the encrypted m...	[]	Train
26,541	16	Title: DM-VTON: Distilled Mobile Real-time Virtual Try-On Abstract: The fashion e-commerce industry has witnessed significant growth in recent years, prompting exploring image-based virtual try-on techniques to incorporate Augmented Reality (AR) experiences into online shopping platforms. However, existing research has...	[]	Validation
26,542	16	Title: Perceptual Quality Assessment of Omnidirectional Audio-visual Signals Abstract: Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc. Assessing the quality of ODVs is significant for service-providers to improve the user's Qu...	[ 1377 ]	Train
26,543	27	Title: Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components Abstract: As autonomous systems increasingly rely on Deep Neural Networks (DNN) to implement the navigation pipeline functions, uncertainty estimation methods have become paramount for estimating confidence in DNN predictions. Bayes...	[]	Train
26,544	23	Title: Integrating Large Language Models into the Debugging C Compiler for generating contextual error explanations Abstract: This paper introduces a method for Large Language Models (LLM) to produce enhanced compiler error explanations, in simple language, within our Debugging C Compiler (DCC). It is well documented t...	[ 19315 ]	Validation
26,545	24	Title: Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts Abstract: Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the appearance of new features at later points i...	[]	Validation
26,546	34	Title: When Stochastic Rewards Reduce to Deterministic Rewards in Online Bipartite Matching Abstract: We study the problem of vertex-weighted online bipartite matching with stochastic rewards where matches may fail with some known probability and the decision maker has to adapt to the sequential realization of these ou...	[]	Test
26,547	28	Title: Model-free Optimization and Experimental Validation of RIS-assisted Wireless Communications under Rich Multipath Fading Abstract: Reconfigurable intelligent surface (RIS) devices have emerged as an effective way to control the propagation channels for enhancing the end users' performance. However, RIS optimizati...	[]	Test
26,548	31	Title: Exploring 360-Degree View of Customers for Lookalike Modeling Abstract: Lookalike models are based on the assumption that user similarity plays an important role towards product selling and enhancing the existing advertising campaigns from a very large user base. Challenges associated to these models reside on t...	[]	Train
26,549	30	Title: WiCE: Real-World Entailment for Claims in Wikipedia Abstract: Models for textual entailment have increasingly been applied to settings like fact-checking, presupposition verification in question answering, and validating that generation models' outputs are faithful to a source. However, such applications are qui...	[ 292, 25303, 889, 31291, 11869, 44063 ]	Train
26,550	24	Title: Explaining a machine learning decision to physicians via counterfactuals Abstract: Machine learning models perform well on several healthcare tasks and can help reduce the burden on the healthcare system. However, the lack of explainability is a major roadblock to their adoption in hospitals. \textit{How can the...	[]	Test
26,551	27	Title: Grasping Student: semi-supervised learning for robotic manipulation Abstract: Gathering real-world data from the robot quickly becomes a bottleneck when constructing a robot learning system for grasping. In this work, we design a semi-supervised grasping system that, on top of a small sample of robot experience,...	[]	Train
26,552	30	Title: Text Classification via Large Language Models Abstract: Despite the remarkable success of large-scale Language Models (LLMs) such as GPT-3, their performances still significantly underperform fine-tuned models in the task of text classification. This is due to (1) the lack of reasoning ability in addressing comp...	[ 46016, 35556, 40103, 25071, 17299, 42393, 18683 ]	Test
26,553	16	Title: Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving Abstract: Evaluating the performance of perception modules in autonomous driving is one of the most critical tasks in developing the complex intelligent system. While module-level unit test metrics adopted ...	[ 28464, 20345, 14235 ]	Test
26,554	17	Title: Learning Audio-Driven Viseme Dynamics for 3D Face Animation Abstract: We present a novel audio-driven facial animation approach that can generate realistic lip-synchronized 3D facial animations from the input audio. Our approach learns viseme dynamics from speech videos, produces animator-friendly viseme curves,...	[ 31366 ]	Train
26,555	24	Title: The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle Abstract: On Euclidean spaces, the Gaussian kernel is one of the most widely used kernels in applications. It has also been used on non-Euclidean spaces, where it is known that there may be (and often are) scale parameters...	[]	Train
26,556	16	Title: HAT: Hybrid Attention Transformer for Image Restoration Abstract: Transformer-based methods have shown impressive performance in image restoration tasks, such as image super-resolution and denoising. However, we find that these networks can only utilize a limited spatial range of input information through attrib...	[]	Test
26,557	23	Title: APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation Abstract: Based on developer needs and usage scenarios, API (Application Programming Interface) recommendation is the process of assisting developers in finding the required API among numerous candidate APIs. Pr...	[]	Validation
26,558	27	Title: Low Voltage Electrohydraulic Actuators for Untethered Robotics Abstract: Rigid robots can be precise in repetitive tasks, but struggle in unstructured environments. Nature's versatility in such environments inspires researchers to develop biomimetic robots that incorporate compliant and contracting artificial mu...	[]	Train
26,559	24	Title: Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization Abstract: In recent years, bilevel approaches have become very popular to efficiently estimate high-dimensional hyperparameters of machine learning models. However, to date, binary parameters are handled by continuous relaxati...	[]	Train
26,560	36	Title: Strategic Resource Selection with Homophilic Agents Abstract: The strategic selection of resources by selfish agents is a classical research direction, with Resource Selection Games and Congestion Games as prominent examples. In these games, agents select available resources and their utility then depends on the...	[ 7234 ]	Train
26,561	30	Title: Efficient Machine Translation Corpus Generation Abstract: This paper proposes an efficient and semi-automated method for human-in-the-loop post- editing for machine translation (MT) corpus generation. The method is based on online training of a custom MT quality estimation metric on-the-fly as linguists perform ...	[ 19380 ]	Train
26,562	27	Title: TidyBot: Personalized Robot Assistance with Large Language Models Abstract: For a robot to personalize physical assistance effectively, it must learn user preferences that can be generally reapplied to future scenarios. In this work, we investigate personalization of household cleanup with robots that can tidy u...	[ 35842, 29711, 3219, 8084, 407, 28827, 14240, 12962, 19492, 35495, 29612, 21938, 10163, 41780, 33477, 3398, 8138, 6104, 20193, 30049, 23397, 37227, 5104, 29040, 42355, 22518, 7419, 3454 ]	Train
26,563	16	Title: HumanBench: Towards General Human-Centric Perception with Projector Assisted Pretraining Abstract: Human-centric perceptions include a variety of vision tasks, which have widespread industrial applications, including surveillance, autonomous driving, and the metaverse. It is desirable to have a general pretrain ...	[]	Test
26,564	4	Title: The forking effect Abstract: This study introduces the concept of the forking effect in the cryptocurrency market,specifically focusing on the impact of forking events on bitcoin, also called parent coin.We use a modified exponential GARCH model to examine the bitcoin's response inreturns and volatility. Our fin...	[]	Train
26,565	16	Title: SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds Abstract: We propose a novel method called SHS-Net for oriented normal estimation of point clouds by learning signed hyper surfaces, which can accurately predict normals with global consistent orientation from various point cl...	[ 17217, 40717 ]	Test
26,566	22	Title: Instruction Set Architecture (ISA) for Processing-in-Memory DNN Accelerators Abstract: In this article, we introduce an instruction set architecture (ISA) for processing-in-memory (PIM) based deep neural network (DNN) accelerators. The proposed ISA is for DNN inference on PIM-based architectures. It is assumed t...	[ 9983 ]	Test
26,567	8	Title: ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks Abstract: In-Network Computing (INC) has found many applications for performance boosts or cost reduction. However, given heterogeneous devices, diverse applications, and multi-path network typologies, it is cumbersome...	[]	Validation
26,568	26	Title: Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study Abstract: Culture shapes people’s behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on social media. We analyzed the friendship networks an...	[]	Train
26,569	24	Title: Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach Abstract: In modern traffic management, one of the most essential yet challenging tasks is accurately and timely predicting traffic. It has been well investigated and examined that deep learning-based Spatio-temporal models have an ed...	[]	Train
26,570	16	Title: Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis Abstract: We explore the task of embodied view synthesis from monocular videos of deformable scenes. Given a minute-long RGBD video of people interacting with their pets, we render the scene from novel camera trajectories derived from in-sc...	[ 3377, 16521, 5820, 43465 ]	Train
26,571	16	Title: A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams Abstract: Cycling is a healthy and sustainable mode of transport. However, interactions with motor vehicles remain a key barrier to increased cycling participation. The ability to detect potentially dangerous interactions from on-bik...	[]	Train
26,572	30	Title: Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions Abstract: Abstract Contrast consistency, the ability of a model to make consistently correct predictions in the presence of perturbations, is an essential aspect in NLP. While studied in tasks such as sentiment...	[ 39235 ]	Test
26,573	10	Title: Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment Abstract: Entity alignment (EA) for knowledge graphs (KGs) plays a critical role in knowledge engineering. Existing EA methods mostly focus on utilizing the graph structures and entity attributes (including literals), bu...	[ 34738, 3771, 9179 ]	Train
26,574	27	Title: Deep Reinforcement Learning of Dexterous Pre-grasp Manipulation for Human-like Functional Categorical Grasping Abstract: Many objects such as tools and household items can be used only if grasped in a very specific way - grasped functionally. Often, a direct functional grasp is not possible, though. We propose a...	[]	Train
26,575	16	Title: Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment Abstract: Pre-trained vision-language models have inspired much research on few-shot learning. However, with only a few training images, there exist two crucial problems: (1) the visual feature distributions are easily ...	[]	Test
26,576	16	Title: Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids Abstract: Drones have been widely used in many areas of our daily lives. It relieves people of the burden of holding a controller all the time and makes drone control easier to use for people with disabilities or occupied ha...	[]	Train
26,577	16	Title: GeoLayoutLM: Geometric Pre-training for Visual Information Extraction Abstract: Visual information extraction (VIE) plays an important role in Document Intelligence. Generally, it is divided into two tasks: semantic entity recognition (SER) and relation extraction (RE). Recently, pre-trained models for documents...	[ 482, 19578, 2207 ]	Train

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