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
18,178	16	Title: A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge Abstract: This technical report presents our solution to Ball Action Spotting in videos. Our method reached second place in the CVPR'23 SoccerNet Challenge. Details of this challenge can b...	[ 13425 ]	Train
18,179	23	Title: Watch the Gap: Making code more intelligible to users without sacrificing decentralization? Abstract: The potential for blockchain technology to eliminate the middleman and replace the top-down hierarchical model of governance with a system of distributed cooperation has opened up many new opportunities, as well...	[]	Test
18,180	16	Title: Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Abstract: Self-attention mechanisms are commonly included in a convolutional neural networks to achieve an improved efficiency performance balance. However, adding sel...	[]	Train
18,181	16	Title: A Critical View Of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment Abstract: Dynamics prediction, which is the problem of predicting future states of scene objects based on current and prior states, is drawing increasing attention as an instance of learning physics. To solve this proble...	[]	Train
18,182	24	Title: Feasible Policy Iteration Abstract: Safe reinforcement learning (RL) aims to solve an optimal control problem under safety constraints. Existing $\textit{direct}$ safe RL methods use the original constraint throughout the learning process. They either lack theoretical guarantees of the policy during iteration or...	[]	Test
18,183	16	Title: Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training Abstract: Masked Autoencoders (MAE) have shown promising performance in self-supervised learning for both 2D and 3D computer vision. However, existing MAE-style methods can only learn from the data of a single modality, i.e., either image...	[ 22561, 4362, 33680, 35826, 15541, 42679, 4349 ]	Train
18,184	28	Title: $\mathbb{F}$-valued trace of a finite-dimensional commutative $\mathbb{F}$-algebra Abstract: A non-zero $\mathbb{F}$-valued $\mathbb{F}$-linear map on a finite dimensional $\mathbb{F}$-algebra is called an $\mathbb{F}$-valued trace if its kernel does not contain any non-zero ideals. However, given an $\mathbb{F}...	[]	Train
18,185	16	Title: Delving Deeper into Data Scaling in Masked Image Modeling Abstract: Understanding whether self-supervised learning methods can scale with unlimited data is crucial for training large-scale models. In this work, we conduct an empirical study on the scaling capability of masked image modeling (MIM) methods (e.g., ...	[ 10908, 37070 ]	Test
18,186	24	Title: FedYolo: Augmenting Federated Learning with Pretrained Transformers Abstract: The growth and diversity of machine learning applications motivate a rethinking of learning with mobile and edge devices. How can we address diverse client goals and learn with scarce heterogeneous data? While federated learning aims t...	[]	Train
18,187	27	Title: AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs Abstract: We present AircraftVerse, a publicly available aerial vehicle design dataset. Aircraft design encompasses different physics domains and, hence, multiple modalities of representation. The evaluation of these cyber-physical system ...	[ 10624 ]	Test
18,188	27	Title: Rao-Blackwellized Particle Smoothing for Simultaneous Localization and Mapping Abstract: Simultaneous localization and mapping (SLAM) is the task of building a map representation of an unknown environment while it at the same time is used for positioning. A probabilistic interpretation of the SLAM task allows fo...	[]	Train
18,189	34	Title: Fault-Tolerant Consensus in Quantum Networks Abstract: Fault-tolerant consensus is about reaching agreement on some of the input values in a limited time by non-faulty autonomous processes, despite of failures of processes or communication medium. This problem is particularly challenging and costly against an ad...	[]	Test
18,190	16	Title: PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction Abstract: Vectorized high-definition map online construction has garnered considerable attention in the field of autonomous driving research. Most existing approaches model changeable map elements using a fixed number of points, or predict lo...	[ 18283 ]	Validation
18,191	16	Title: Model Robustness Meets Data Privacy: Adversarial Robustness Distillation without Original Data Abstract: Large-scale deep learning models have achieved great performance based on large-scale datasets. Moreover, the existing Adversarial Training (AT) can further improve the robustness of these large models. Howev...	[ 5619, 2453 ]	Train
18,192	24	Title: Common Knowledge Learning for Generating Transferable Adversarial Examples Abstract: This paper focuses on an important type of black-box attacks, i.e., transfer-based adversarial attacks, where the adversary generates adversarial examples by a substitute (source) model and utilize them to attack an unseen targe...	[]	Test
18,193	25	Title: A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization Abstract: Recent advancement in Automatic Speech Recognition (ASR) has produced large AI models, which become impractical for deployment in mobile devices. Model quantization is effective to produce compressed general-pur...	[]	Test
18,194	23	Title: CBMC: The C Bounded Model Checker Abstract: The C Bounded Model Checker (CBMC) demonstrates the violation of assertions in C programs, or proves safety of the assertions under a given bound. CBMC implements a bit-precise translation of an input C program, annotated with assertions and with loops unrolled to a gi...	[ 39265, 45223, 23644, 21552, 12988 ]	Train
18,195	17	Title: HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation Abstract: Implicit Neural Representations (INRs) have recently exhibited immense potential in the field of scientific visualization for both data generation and visualization tasks. However, these represen...	[ 39643 ]	Validation
18,196	4	Title: Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection Abstract: Numerous companies have started offering services based on large language models (LLM), such as ChatGPT, which inevitably raises privacy concerns as users' prompts are exposed to the model provider. Previous research on secure r...	[ 5815 ]	Train
18,197	26	Title: Efficient pattern-based anomaly detection in a network of multivariate devices Abstract: Many organisations manage service quality and monitor a large set devices and servers where each entity is associated with telemetry or physical sensor data series. Recently, various methods have been proposed to detect beha...	[]	Train
18,198	10	Title: Morpho-logic from a Topos Perspective: Application to symbolic AI Abstract: Modal logics have proved useful for many reasoning tasks in symbolic artificial intelligence (AI), such as belief revision, spatial reasoning, among others. On the other hand, mathematical morphology (MM) is a theory for non-linear analy...	[]	Validation
18,199	31	Title: Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection Abstract: Customer lifetime value (LTV) prediction is essential for mobile game publishers trying to optimize the advertising investment for each user acquisition based on the estimated worth. In mobi...	[]	Train
18,200	16	Title: SortedAP: Rethinking evaluation metrics for instance segmentation Abstract: Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy. However, other important properties, such as sensitivity, continuity, and equality, are overlo...	[]	Validation
18,201	16	Title: Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Abstract: Numerous adversarial attack methods have been developed to generate imperceptible image perturbations that can cause erroneous predictions of state-of-the-art machine learning (ML) models, in particular, deep neural networks (DNNs)....	[ 857, 43418, 3885 ]	Validation
18,202	16	Title: CitDet: A Benchmark Dataset for Citrus Fruit Detection Abstract: In this letter, we present a new dataset to advance the state of the art in detecting citrus fruit and accurately estimate yield on trees affected by the Huanglongbing (HLB) disease in orchard environments via imaging. Despite the fact that signifi...	[]	Train
18,203	30	Title: Towards Transliteration between Sindhi Scripts from Devanagari to Perso-Arabic Abstract: In this paper, we have shown a script conversion (transliteration) technique that converts Sindhi text in the Devanagari script to the Perso-Arabic script. We showed this by incorporating a hybrid approach where some part of...	[]	Validation
18,204	16	Title: Automated wildlife image classification: An active learning tool for ecological applications Abstract: nan	[]	Validation
18,205	16	Title: InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning Abstract: Recent advances in personalized image generation allow a pre-trained text-to-image model to learn a new concept from a set of images. However, existing personalization approaches usually require heavy test-time finetuning ...	[ 37126, 43911, 34311, 25739, 14361, 34074, 18845, 7458, 10788, 31913, 37930, 39340, 27184, 305, 26809, 41146, 24763, 38846, 20687, 10070, 3031, 14047, 3680, 35940, 24550, 33261, 45166, 42104, 125 ]	Train
18,206	16	Title: GaitPT: Skeletons Are All You Need For Gait Recognition Abstract: The analysis of patterns of walking is an important area of research that has numerous applications in security, healthcare, sports and human-computer interaction. Lately, walking patterns have been regarded as a unique fingerprinting method for a...	[]	Train
18,207	27	Title: MVTrans: Multi-View Perception of Transparent Objects Abstract: Transparent object perception is a crucial skill for applications such as robot manipulation in household and laboratory settings. Existing methods utilize RGB-D or stereo inputs to handle a subset of perception tasks including depth and pose estima...	[]	Validation
18,208	28	Title: Energy Efficient Semantic Communication Over Wireless Networks With Rate Splitting Abstract: In this paper, the problem of wireless resource allocation and semantic information extraction for energy efficient semantic communications over wireless networks with rate splitting is investigated. In the considered mo...	[ 19260, 23589, 37430 ]	Train
18,209	31	Title: General and Practical Tuning Method for Off-the-Shelf Graph-Based Index: SISAP Indexing Challenge Report by Team UTokyo Abstract: Despite the efficacy of graph-based algorithms for Approximate Nearest Neighbor (ANN) searches, the optimal tuning of such systems remains unclear. This study introduces a method to t...	[]	Train
18,210	34	Title: Polynomial-Time Approximation Schemes for Independent Packing Problems on Fractionally Tree-Independence-Number-Fragile Graphs Abstract: We investigate a relaxation of the notion of treewidth-fragility, namely tree-independence-number-fragility. In particular, we obtain polynomial-time approximation schemes for ...	[ 13909 ]	Train
18,211	3	Title: An Analysis of How COVID-19 Shaped the Realm of Online Gaming and Lesson Delivery Abstract: The COVID-19 pandemic has forced schools and universities to adapt to remote learning, and online gaming has emerged as a tool for education. Educational games can make learning fun and engaging, help students develop imp...	[]	Validation
18,212	24	Title: OpenAL: Evaluation and Interpretation of Active Learning Strategies Abstract: Despite the vast body of literature on Active Learning (AL), there is no comprehensive and open benchmark allowing for efficient and simple comparison of proposed samplers. Additionally, the variability in experimental settings across ...	[]	Test
18,213	16	Title: ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras Abstract: The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehicles (UAV) is raising, especially due to the microsecond-level reaction time of the bio-inspired event s...	[ 14761, 23551 ]	Train
18,214	16	Title: TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval Abstract: 3D object retrieval is an important yet challenging task that has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and ...	[ 3747, 18447 ]	Validation
18,215	16	Title: A Fully Automated and Scalable Surface Water Mapping with Topographic Airborne LiDAR Data Abstract: Despite substantial technological advancements, the comprehensive mapping of surface water, particularly smaller bodies (<1ha), continues to be a challenge due to a lack of robust, scalable methods. Standard metho...	[]	Train
18,216	16	Title: CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation Abstract: Existing works on open-vocabulary semantic segmentation have utilized large-scale vision-language models, such as CLIP, to leverage their exceptional open-vocabulary recognition capabilities. However, the problem of transferring these ...	[ 21058, 12523 ]	Train
18,217	26	Title: Breaking the Boundaries of Knowledge Space: Analyzing the Knowledge Spanning on the Q&A Website through Word Embeddings Abstract: The challenge of raising a creative question exists in recombining different categories of knowledge. However, the impact of recombination remains controversial. Drawing on the theori...	[]	Train
18,218	16	Title: OrienterNet: Visual Localization in 2D Public Maps with Neural Matching Abstract: Humans can orient themselves in their 3D environments using simple 2D maps. Differently, algorithms for visual localization mostly rely on complex 3D point clouds that are expensive to build, store, and maintain over time. We bridg...	[ 20314, 8854, 32262 ]	Test
18,219	6	Title: Modeling the sense of presence of remote participants in hybrid communication and its application to the design of avatar robot behavior Abstract: We formulated the sense of the presence of a remote participant in hybrid communication using a Bayesian framework. We also applied the knowledge gained from the simu...	[]	Train
18,220	16	Title: Counting Guidance for High Fidelity Text-to-Image Synthesis Abstract: Recently, the quality and performance of text-to-image generation significantly advanced due to the impressive results of diffusion models. However, text-to-image diffusion models still fail to generate high fidelity content with respect to th...	[ 43867, 3203, 41146, 11561, 3690, 32108, 45933, 41517, 36084, 34074, 32411 ]	Train
18,221	30	Title: The Web Can Be Your Oyster for Improving Large Language Models Abstract: Large language models (LLMs) encode a large amount of world knowledge. However, as such knowledge is frozen at the time of model training, the models become static and limited by the training data at that time. In order to further improve t...	[ 40192, 28878 ]	Train
18,222	8	Title: Holistic Network Virtualization and Pervasive Network Intelligence for 6G Abstract: In this tutorial paper, we look into the evolution and prospect of network architecture and propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed architecture has two key elements, i.e., holis...	[ 3435, 811, 18891, 30925, 6324, 26934, 37081, 27774, 45691, 9726 ]	Train
18,223	24	Title: Phoenix: A Federated Generative Diffusion Model Abstract: Generative AI has made impressive strides in enabling users to create diverse and realistic visual content such as images, videos, and audio. However, training generative models on large centralized datasets can pose challenges in terms of data privacy, s...	[ 40785, 8308 ]	Train
18,224	10	Title: Proof Number Based Monte-Carlo Tree Search Abstract: This paper proposes a new game search algorithm, PN-MCTS, that combines Monte-Carlo Tree Search (MCTS) and Proof-Number Search (PNS). These two algorithms have been successfully applied for decision making in a range of domains. We define three areas where the...	[]	Train
18,225	16	Title: Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior Abstract: In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians. Pedestrian intent, defined as future action, e.g., start crossing, can be depende...	[ 36548 ]	Train
18,226	1	Title: MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in Indonesian Abstract: Multimodal learning on video and text data has been receiving growing attention from many researchers in various research tasks, including text-to-video retrieval, video-to-text retrieval, and video captioning. Although many alg...	[]	Train
18,227	30	Title: LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models Abstract: With the burgeoning development in the realm of large language models (LLMs), the demand for efficient incremental training tailored to specific industries and domains continues to increase. Current...	[ 1345, 197, 39628, 5933, 10829, 37742, 5522, 2291, 2772, 29725, 36626, 5815, 6328, 43641, 18643, 4635, 44445 ]	Train
18,228	10	Title: Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition Abstract: A brain-computer interface (BCI) can’t be effectively used since electroencephalography (EEG) varies between and within subjects. BCI systems require calibration steps to adjust the model to subject-specific data. It is wid...	[]	Train
18,229	2	Title: Category Theory in Isabelle/HOL as a Basis for Meta-logical Investigation Abstract: This paper presents meta-logical investigations based on category theory using the proof assistant Isabelle/HOL. We demonstrate the potential of a free logic based shallow semantic embedding of category theory by providing a form...	[]	Train
18,230	16	Title: Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Abstract: Deep learning in general domains has constantly been extended to domain-specific tasks requiring the recognition of fine-grained characteristics. However, real-world applications for fine-grained tasks suffer from two challenges: ...	[]	Train
18,231	13	Title: Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks Abstract: Spiking Neural Networks (SNNs) are promising energy-efficient models for neuromorphic computing. For training the non-differentiable SNN models, the backpropagation through time (BPTT) with surrogate gradients (SG) ...	[ 17608, 13290, 39312, 22629 ]	Test
18,232	24	Title: Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis Abstract: The task of root cause analysis (RCA) is to identify the root causes of system faults/failures by analyzing system monitoring data. Efficient RCA can greatly accelerate system failure recovery and mitigate system damages or ...	[ 31608 ]	Train
18,233	24	Title: GPU accelerated matrix factorization of large scale data using block based approach Abstract: Matrix Factorization (MF) on large scale data takes substantial time on a Central Processing Unit (CPU). While Graphical Processing Unit (GPU)s could expedite the computation of MF, the available memory on a GPU is fini...	[]	Validation
18,234	30	Title: Political representation bias in DBpedia and Wikidata as a challenge for downstream processing Abstract: Diversity Searcher is a tool originally developed to help analyse diversity in news media texts. It relies on a form of automated content analysis and thus rests on prior assumptions and depends on certain de...	[]	Test
18,235	18	Title: Stochastic Chemical Reaction Networks for MAP Detection in Cellular Receivers Abstract: In order to fully exploit the potential of molecular communication (MC) for intra-body communication, practically implementable cellular receivers are an important long-term goal. A variety of receiver architectures based on ...	[ 1597 ]	Validation
18,236	24	Title: Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization Abstract: Vertical Federated Learning (VFL) attracts increasing attention because it empowers multiple parties to jointly train a privacy-preserving model over vertically partitioned data. Recent research has shown that app...	[]	Validation
18,237	6	Title: Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions Abstract: This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It consolidates the definitions of ...	[]	Train
18,238	27	Title: DNBP: Differentiable Nonparametric Belief Propagation Abstract: We present a differentiable approach to learn the probabilistic factors used for inference by a nonparametric belief propagation algorithm. Existing nonparametric belief propagation methods rely on domain-specific features encoded in the probabilist...	[ 8009 ]	Train
18,239	6	Title: Some Observations on Fact-Checking Work with Implications for Computational Support Abstract: Social media and user-generated content (UGC) have become increasingly important features of journalistic work in a number of different ways. However, the growth of misinformation means that news organisations have had ...	[ 9536, 32889, 24629, 32829 ]	Validation
18,240	16	Title: Continuous Layout Editing of Single Images with Diffusion Models Abstract: Recent advancements in large-scale text-to-image diffusion models have enabled many applications in image editing. However, none of these methods have been able to edit the layout of single existing images. To address this gap, we propose...	[ 34074, 29389, 20949, 41146, 43867 ]	Validation
18,241	3	Title: Towards Measuring Ethicality of an Intelligent Assistive System Abstract: Artificial intelligence (AI) based assistive systems, so called intelligent assistive technology (IAT) are becoming increasingly ubiquitous by each day. IAT helps people in improving their quality of life by providing intelligent assistanc...	[]	Train
18,242	21	Title: From Full-fledged ERP Systems Towards Process-centric Business Process Platforms Abstract: Enterprise Resource Planning (ERP) systems are critical to the success of enterprises, facilitating business operations through standardized digital processes. However, existing ERP systems are unsuitable for startups and ...	[]	Train
18,243	15	Title: A scalable processing-in-memory accelerator for parallel graph processing Abstract: The explosion of digital data and the ever-growing need for fast data analysis have made in-memory big-data processing in computer systems increasingly important. In particular, large-scale graph processing is gaining attention d...	[ 3650, 36226, 677, 38508, 31532, 45262, 35837, 189, 25432, 12861 ]	Train
18,244	27	Title: Audio Visual Language Maps for Robot Navigation Abstract: While interacting in the world is a multi-sensory experience, many robots continue to predominantly rely on visual perception to map and navigate in their environments. In this work, we propose Audio-Visual-Language Maps (AVLMaps), a unified 3D spatial ma...	[ 22222 ]	Train
18,245	24	Title: Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics Abstract: Melt pool dynamics in metal additive manufacturing (AM) is critical to process stability, microstructure formation, and final properties of the printed materials. Physics-based simulation including computational fluid dynamics (CF...	[ 13160 ]	Train
18,246	24	Title: A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Abstract: Many model-based reinforcement learning (RL) algorithms can be viewed as having two phases that are iteratively implemented: a learning phase where the model is approximately learned and a planning phase where the lear...	[ 33084 ]	Validation
18,247	24	Title: Meta Adaptive Task Sampling for Few-Domain Generalization Abstract: To ensure the out-of-distribution (OOD) generalization performance, traditional domain generalization (DG) methods resort to training on data from multiple sources with different underlying distributions. And the success of those DG methods larg...	[]	Train
18,248	28	Title: Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication Abstract: In the Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent applications and services. As the network size becomes large, different users may generate distinct datasets. Th...	[ 35041 ]	Test
18,249	16	Title: Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis Abstract: Class incremental learning (CIL) aims to recognize both the old and new classes along the increment tasks. Deep neural networks in CIL suffer from catastrophic forgetting and some approaches rely on savi...	[]	Train
18,250	23	Title: Ethical Aspects of ChatGPT in Software Engineering Research Abstract: ChatGPT can improve Software Engineering (SE) research practices by offering efficient, accessible information analysis and synthesis based on natural language interactions. However, ChatGPT could bring ethical challenges, encompassing plagiar...	[ 12128, 11273, 3050, 14569, 18411, 44173, 28848, 27185, 19315, 44246, 36635, 24093 ]	Train
18,251	16	Title: Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo Abstract: While recent methods for motion and stereo estimation recover an unprecedented amount of details, such highly detailed structures are neither adequately reflected in the data of existing benchmarks nor t...	[ 16424, 32632, 33572, 40783 ]	Test
18,252	24	Title: OptIForest: Optimal Isolation Forest for Anomaly Detection Abstract: Anomaly detection plays an increasingly important role in various fields for critical tasks such as intrusion detection in cybersecurity, financial risk detection, and human health monitoring. A variety of anomaly detection methods have been pr...	[]	Train
18,253	24	Title: Prototype Helps Federated Learning: Towards Faster Convergence Abstract: Federated learning (FL) is a distributed machine learning technique in which multiple clients cooperate to train a shared model without exchanging their raw data. However, heterogeneity of data distribution among clients usually leads to po...	[ 24149 ]	Validation
18,254	24	Title: Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing Abstract: Temporal sequences have become pervasive in various real-world applications. Consequently, the volume of data generated in the form of continuous time-event sequence(s) or CTES(s) has increased expon...	[]	Train
18,255	16	Title: Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation Abstract: Event-based cameras are bio-inspired sensors that capture brightness change of every pixel in an asynchronous manner. Compared with frame-based sensors, event cameras have microsecond-level latency and high d...	[ 30917 ]	Train
18,256	16	Title: Visual Reasoning: From State to Transformation Abstract: Most existing visual reasoning tasks, such as CLEVR in VQA, ignore an important factor, i.e., transformation. They are solely defined to test how well machines understand concepts and relations within static settings, like one image. Such state driven visu...	[]	Train
18,257	5	Title: Deterministic Rendezvous Algorithms Abstract: nan	[ 30696 ]	Validation
18,258	24	Title: Rail Crack Propagation Forecasting Using Multi-horizons RNNs Abstract: The prediction of rail crack length propagation plays a crucial role in the maintenance and safety assessment of materials and structures. Traditional methods rely on physical models and empirical equations such as Paris law, which often have...	[]	Validation
18,259	5	Title: Cloud Adoption A Modern Approach Abstract: Todays Information Technology world is cloud-centric. Companies are intrigued to migrate their workload private cloud from on-premise Datacenter to Public cloud to take advantage of the latest innovations. It drives the business growth and competitiveness of the organiz...	[]	Validation
18,260	26	Title: Social networks in COVID-19 America: Americans remotely together but politically apart Abstract: The COVID-19 pandemic has presented a social dilemma; "social distancing" was required to stop the spread of disease, but close social contacts were needed more than ever to collectively overcome the unprecedented ch...	[]	Train
18,261	8	Title: Toward Self-Adjusting k-ary Search Tree Networks Abstract: Datacenter networks are becoming increasingly flexible with the incorporation of new networking technologies, such as optical circuit switches. These technologies allow for programmable network topologies that can be reconfigured to better serve network ...	[]	Test
18,262	31	Title: Multimodal Search on Iconclass using Vision-Language Pre-Trained Models Abstract: Terminology sources, such as controlled vocabularies, thesauri and classification systems, play a key role in digitizing cultural heritage. However, Information Retrieval (IR) systems that allow to query and explore these lexical r...	[]	Train
18,263	16	Title: Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks Abstract: The lack of quality labeled data is one of the main bottlenecks for training Deep Learning models. As the task increases in complexity, there is a higher penalty for overfitting and unstable learning. The typical...	[ 29836 ]	Train
18,264	10	Title: Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms Abstract: The ongoing rise in cyberattacks and the lack of skilled professionals in the cybersecurity domain to combat these attacks show the need for automated tools capable of detecting an attack with good performance. Atta...	[]	Train
18,265	31	Title: Resources and Evaluations for Multi-Distribution Dense Information Retrieval Abstract: We introduce and define the novel problem of multi-distribution information retrieval (IR) where given a query, systems need to retrieve passages from within multiple collections, each drawn from a different distribution. Some...	[]	Train
18,266	16	Title: MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection Abstract: We introduce Multi-Source 3D (MS3D), a new self-training pipeline for unsupervised domain adaptation in 3D object detection. Despite the remarkable accuracy of 3D detectors, they often overfit to specific doma...	[ 30113, 5606 ]	Train
18,267	16	Title: OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding Abstract: We introduce OpenShape, a method for learning multi-modal joint representations of text, image, and point clouds. We adopt the commonly used multi-modal contrastive learning framework for representation alignment, but with a...	[ 7776, 6337, 1346, 38912, 17029, 28652, 22222, 18447, 39440, 22767, 32148, 15541, 17109, 41400, 19677 ]	Test
18,268	30	Title: Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain Abstract: Adapting pretrained language models to novel domains, such as clinical applications, traditionally involves retraining their entire set of parameters. However, this approach is increasingly proven to be impractical owing to the substantia...	[ 1923, 13700, 13029 ]	Train
18,269	24	Title: T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression Abstract: Clustering time-series data in healthcare is crucial for clinical phenotyping to understand patients' disease progression patterns and to design treatment guidelines tailored to homogeneous patient subgroups. Whi...	[]	Test
18,270	16	Title: Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning Abstract: Contrastive vision-language models (e.g. CLIP) are typically created by updating all the parameters of a vision model and language model through contrastive training. Can such models be created by a small number o...	[ 10624 ]	Test
18,271	27	Title: Hierarchical Motion Planning under Probabilistic Temporal Tasks and Safe-Return Constraints Abstract: Safety is crucial for robotic missions within an uncertain environment. Common safety requirements such as collision avoidance are only state-dependent, which can be restrictive for complex missions. In this wor...	[]	Validation
18,272	24	Title: Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction Abstract: Non-Fungible Tokens (NFTs) represent deeds of ownership, based on blockchain technologies and smart contracts, of unique crypto assets on digital art forms (e.g., artworks or collect...	[ 36265, 23910 ]	Train
18,273	27	Title: BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems Abstract: Autonomous systems, such as Unmanned Aerial Vehicles (UAVs), are expected to run complex reinforcement learning (RL) models to execute fully autonomous position-navigation-time tasks within stringent onboar...	[]	Validation
18,274	10	Title: Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks Abstract: Motivated by applications such as machine repair, project monitoring, and anti-poaching patrol scheduling, we study intervention planning of stochastic processes under resource constraints. This planni...	[]	Validation
18,275	30	Title: Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews Abstract: It is time-consuming to find the best product among many similar alternatives. Comparative sentences can help to contrast one item from others in a way that highlights important features of an item that stand ou...	[]	Validation
18,276	27	Title: RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models Abstract: With the goal of developing fully autonomous cooking robots, developing robust systems that can chop a wide variety of objects is important. Existing approaches focus primarily on the low-level dynamics of th...	[ 24643, 45491 ]	Validation
18,277	16	Title: An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training Abstract: We present a model that can perform multiple vision tasks and can be adapted to other downstream tasks efficiently. Despite considerable progress in multi-task learning, most efforts focus on learning from multi-lab...	[]	Train

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