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
34,978	37	Title: DSPC: Efficiently Answering Shortest Path Counting on Dynamic Graphs Abstract: The widespread use of graph data in various applications and the highly dynamic nature of today's networks have made it imperative to analyze structural trends in dynamic graphs on a continual basis. The shortest path is a fundamental...	[]	Test
34,979	8	Title: A2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems Abstract: To perform advanced surveillance, Unmanned Aerial Vehicles (UAVs) require the execution of edge-assisted computer vision (CV) tasks. In multi-hop UAV networks, the successful transmission of these tasks to the edge ...	[]	Validation
34,980	24	Title: Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning Abstract: Deep learning in computational biochemistry has traditionally focused on molecular graphs neural representations; however, recent advances in language models highlight how much scientific knowledge is encoded in ...	[]	Train
34,981	30	Title: Evaluating Transformer Language Models on Arithmetic Operations Using Number Decomposition Abstract: In recent years, Large Language Models such as GPT-3 showed remarkable capabilities in performing NLP tasks in the zero and few shot settings. On the other hand, the experiments highlighted the difficulty of GPT-...	[ 19394, 30630, 14026, 35596, 16014, 19702, 37721, 21209, 37310 ]	Train
34,982	16	Title: GRES: Generalized Referring Expression Segmentation Abstract: Referring Expression Segmentation (RES) aims to generate a segmentation mask for the object described by a given language expression. Existing classic RES datasets and methods commonly support single-target expressions only, i.e., one expression refer...	[ 5024, 38753, 31747, 29733, 39047, 34314, 17968, 28592, 38577, 41109, 17590, 11894 ]	Train
34,983	16	Title: Towards Multi-Layered 3D Garments Animation Abstract: Mimicking realistic dynamics in 3D garment animations is a challenging task due to the complex nature of multi-layered garments and the variety of outer forces involved. Existing approaches mostly focus on single-layered garments driven by only human bodies a...	[]	Validation
34,984	2	Title: The Complexity of Satisfiability Checking for Symbolic Finite Automata Abstract: We study the satisfiability problem of symbolic finite automata and decompose it into the satisfiability problem of the theory of the input characters and the monadic second-order theory of the indices of accepted words. We use our ...	[]	Test
34,985	24	Title: Graph-based methods coupled with specific distributional distances for adversarial attack detection Abstract: Artificial neural networks are prone to being fooled by carefully perturbed inputs which cause an egregious misclassification. These \textit{adversarial} attacks have been the focus of extensive research...	[]	Validation
34,986	16	Title: Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception Abstract: Deep neural networks (DNNs) are known to have a fundamental sensitivity to adversarial attacks, perturbations of the input that are imperceptible to humans yet powerful enough to change...	[ 10538, 37070 ]	Train
34,987	30	Title: Explore, Establish, Exploit: Red Teaming Language Models from Scratch Abstract: Deploying Large language models (LLMs) can pose hazards from harmful outputs such as toxic or dishonest speech. Prior work has introduced tools that elicit harmful outputs in order to identify and mitigate these risks. While this is ...	[ 44481, 17346, 41122, 45923, 846, 44623, 4658, 10163, 45301, 35927, 39642, 16221, 29087 ]	Train
34,988	17	Title: Project Elements: A computational entity-component-system in a scene-graph pythonic framework, for a neural, geometric computer graphics curriculum Abstract: We present the Elements project, a lightweight, open-source, computational science and computer graphics (CG) framework, tailored for educational needs, th...	[ 36740 ]	Train
34,989	13	Title: A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development Abstract: Energy consumption plays a vital role in mobile App development for developers and end-users, and it is considered one of the most crucial factors for purchasing a smartphone. In addition, in terms of sustai...	[]	Train
34,990	30	Title: W2KPE: Keyphrase Extraction with Word-Word Relation Abstract: This paper describes our submission to ICASSP 2023 MUG Challenge Track 4, Keyphrase Extraction, which aims to extract keyphrases most relevant to the conference theme from conference materials. We model the challenge as a single-class Named Entity Rec...	[ 31017 ]	Train
34,991	16	Title: Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing Abstract: Image Dehazing aims to remove atmospheric fog or haze from an image. Although the Dehazing models have evolved a lot in recent years, few have precisely tackled the problem of High-Resolution hazy images. For thi...	[ 45941 ]	Train
34,992	23	Title: What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs? Abstract: Pre-trained models of source code have gained widespread popularity in many code intelligence tasks. Recently, with the scaling of the model and corpus size, large language models have shown the ability of in-context learn...	[ 33220, 20173, 15952, 17523, 18550, 13564 ]	Train
34,993	24	Title: Certifiable Black-Box Attack: Ensuring Provably Successful Attack for Adversarial Examples Abstract: Black-box adversarial attacks have shown strong potential to subvert machine learning models. Existing black-box adversarial attacks craft the adversarial examples by iteratively querying the target model and/or ...	[]	Train
34,994	27	Title: Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics Abstract: Selecting robot design parameters can be challenging since these parameters are often coupled with the performance of the controller and, therefore, the resulting capabilities of the robot. This leads to a ...	[]	Train
34,995	34	Title: Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles Abstract: Cycles are one of the fundamental subgraph patterns and being able to enumerate them in graphs enables important applications in a wide variety of fields, including finance, biology, chemistry, and network science....	[ 24819 ]	Validation
34,996	27	Title: Clustering-based Criticality Analysis for Testing of Automated Driving Systems Abstract: With the implementation of the new EU regulation 2022/1426 regarding the type-approval of the automated driving system (ADS) of fully automated vehicles, scenario-based testing has gained significant importance in evaluating...	[ 896 ]	Validation
34,997	27	Title: Wide-Area Geolocalization with a Limited Field of View Camera Abstract: Cross-view geolocalization, a supplement or replacement for GPS, localizes an agent within a search area by matching images taken from a ground-view camera to overhead images taken from satellites or aircraft. Although the viewpoint disparit...	[ 23552 ]	Validation
34,998	24	Title: Mnemosyne: Learning to Train Transformers with Transformers Abstract: In this work, we propose a new class of learnable optimizers, called \textit{Mnemosyne}. It is based on the novel spatio-temporal low-rank implicit attention Transformers that can learn to train entire neural network architectures, including o...	[]	Train
34,999	24	Title: Wide Gaps and Clustering Axioms Abstract: The widely applied k-means algorithm produces clusterings that violate our expectations with respect to high/low similarity/density and is in conflict with Kleinberg's axiomatic system for distance based clustering algorithms that formalizes those expectations in a natur...	[]	Test
35,000	15	Title: Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction Abstract: Neural Radiance Field (NeRF) based 3D reconstruction is highly desirable for immersive Augmented and Virtual Reality (AR/VR) applications, but achieving instant (i.e., < 5 seconds) on-device NeRF training remai...	[ 19781 ]	Train
35,001	30	Title: An Empirical Comparison of LM-based Question and Answer Generation Methods Abstract: Question and answer generation (QAG) consists of generating a set of question-answer pairs given a context (e.g. a paragraph). This task has a variety of applications, such as data augmentation for question answering (QA) models...	[ 21132 ]	Test
35,002	16	Title: Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images Abstract: Many skin lesion analysis (SLA) methods recently focused on developing a multi-modal-based multi-label classification method due to two factors. The first is multi-modal data, i.e., clinical an...	[]	Test
35,003	24	Title: Kalman Filter for Online Classification of Non-Stationary Data Abstract: In Online Continual Learning (OCL) a learning system receives a stream of data and sequentially performs prediction and training steps. Important challenges in OCL are concerned with automatic adaptation to the particular non-stationary str...	[ 18114 ]	Test
35,004	24	Title: Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Abstract: We propose a new method, dubbed One Class Signed Distance Function (OCSDF), to perform One Class Classification (OCC) by provably learning the Signed Distance Function (SDF) to the boundary of the support of...	[]	Test
35,005	16	Title: Target-Grounded Graph-Aware Transformer for Aerial Vision-and-Dialog Navigation Abstract: This report details the methods of the winning entry of the AVDN Challenge in ICCV CLVL 2023. The competition addresses the Aerial Navigation from Dialog History (ANDH) task, which requires a drone agent to associate dialog...	[ 45028, 16650, 19757, 16726, 38330, 9403, 22077 ]	Train
35,006	24	Title: Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Abstract: Artificial Intelligence (AI) is currently spearheaded by machine learning (ML) methods such as deep learning (DL) which have accelerated progress on many tasks thought to be out of reach of AI. These ML methods can often...	[ 43424, 7937, 453, 13855, 38798, 7984, 32127 ]	Train
35,007	34	Title: Locally Uniform Hashing Abstract: Hashing is a common technique used in data processing, with a strong impact on the time and resources spent on computation. Hashing also affects the applicability of theoretical results that often assume access to (unrealistic) uniform/fully-random hash functions. In this paper,...	[]	Train
35,008	27	Title: Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight Abstract: Agile quadrotor flight relies on rapidly planning and accurately tracking time-optimal trajectories, a technology critical to their application in the wild. However, the computational burden of computing time-o...	[ 32405, 6663 ]	Train
35,009	16	Title: Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN Abstract: Neural networks, especially convolutional neural networks (CNN), are one of the most common tools these days used in computer vision. Most of these networks work with real-valued data using real-valued features. Com...	[]	Train
35,010	24	Title: Shapley Based Residual Decomposition for Instance Analysis Abstract: In this paper, we introduce the idea of decomposing the residuals of regression with respect to the data instances instead of features. This allows us to determine the effects of each individual instance on the model and each other, and in doin...	[]	Train
35,011	27	Title: Design, Control, and Motion Strategy of TRADY: Tilted-Rotor-Equipped Aerial Robot With Autonomous In-flight Assembly and Disassembly Ability Abstract: In previous research, various types of aerial robots were developed to improve maneuverability or manipulation abilities. However, there was a challenge in achiev...	[]	Train
35,012	28	Title: Optimal Transmit Antenna Deployment and Power Allocation for Wireless Power Supply in an Indoor Space Abstract: As Internet of Things (IoT) devices proliferate, sustainable methods for powering them are becoming indispensable. The wireless provision of power enables battery-free operation and is crucial for comp...	[]	Validation
35,013	11	Title: Collective Reasoning for Safe Autonomous Systems Abstract: Collaboration in multi-agent autonomous systems is critical to increase performance while ensuring safety. However, due to heterogeneity of their features in, e.g., perception qualities, some autonomous systems have to be considered more trustworthy than...	[]	Test
35,014	30	Title: Dynamic Planning with a LLM Abstract: While Large Language Models (LLMs) can solve many NLP tasks in zero-shot settings, applications involving embodied agents remain problematic. In particular, complex plans that require multi-step reasoning become difficult and too costly as the context window grows. Planning ...	[ 33220, 33477, 14920, 8138, 12747, 9518, 33455, 13298, 2549, 634, 33853, 12606 ]	Test
35,015	10	Title: NovPhy: A Testbed for Physical Reasoning in Open-world Environments Abstract: Due to the emergence of AI systems that interact with the physical environment, there is an increased interest in incorporating physical reasoning capabilities into those AI systems. But is it enough to only have physical reasoning cap...	[ 1773, 55 ]	Train
35,016	27	Title: Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor Abstract: The objective of the project is to explore synergies between classical control algorithms such as PID and contemporary reinforcement learning algorithms to come up with a pragmatic control mechanism to control the CrazyFlie 2.X quadrotor. ...	[]	Validation
35,017	16	Title: Cutting-Edge Techniques for Depth Map Super-Resolution Abstract: To overcome hardware limitations in commercially available depth sensors which result in low-resolution depth maps, depth map super-resolution (DMSR) is a practical and valuable computer vision task. DMSR requires upscaling a low-resolution (LR) de...	[]	Train
35,018	16	Title: CLRerNet: Improving Confidence of Lane Detection with LaneIoU Abstract: Lane marker detection is a crucial component of the autonomous driving and driver assistance systems. Modern deep lane detection methods with row-based lane representation exhibit excellent performance on lane detection benchmarks. Through p...	[]	Train
35,019	28	Title: An Efficient Machine Learning-based Channel Prediction Technique for OFDM Sub-Bands Abstract: The acquisition of accurate channel state information (CSI) is of utmost importance since it provides performance improvement of wireless communication systems. However, acquiring accurate CSI, which can be done through...	[]	Test
35,020	24	Title: Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning Abstract: The rapid advancement of deep neural networks has significantly improved various tasks, such as image and speech recognition. However, as the complexity of these models increases, so does the computational cost and...	[]	Train
35,021	16	Title: Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network Abstract: The Leaf Area Index (LAI) is vital for predicting winter wheat yield. Acquisition of crop conditions via Sentinel-2 remote sensing images can be hindered by persistent clouds, affecting yield predictions. Synthetic Aper...	[]	Train
35,022	30	Title: Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset Abstract: Little attention has been paid on EArly Rumor Detection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we ...	[ 32896, 1814 ]	Train
35,023	5	Title: Distributed Self-Stabilizing MIS with Few States and Weak Communication Abstract: We study a simple random process that computes a maximal independent set (MIS) on a general n-vertex graph. Each vertex has a binary state, black or white, where black indicates inclusion into the MIS. The vertex states are arbitra...	[]	Train
35,024	16	Title: SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference Abstract: The combination of Neural Architecture Search (NAS) and quantization has proven successful in automatically designing low-FLOPs INT8 quantized neural networks (QNN). However, directly applying NAS to design accurate QNN models...	[]	Train
35,025	36	Title: Efficient Almost-Egalitarian Allocation of Goods and Bads Abstract: We consider the allocation of indivisible objects among agents with different valuations, which can be positive or negative. An egalitarian allocation is an allocation that maximizes the smallest value given to an agent; finding such an allocati...	[]	Test
35,026	6	Title: Queering the ethics of AI Abstract: This book chapter delves into the pressing need to"queer"the ethics of AI to challenge and re-evaluate the normative suppositions and values that underlie AI systems. The chapter emphasizes the ethical concerns surrounding the potential for AI to perpetuate discrimination, inc...	[ 6423 ]	Test
35,027	6	Title: A Comparative Evaluation of Visual Summarization Techniques for Event Sequences Abstract: Real‐world event sequences are often complex and heterogeneous, making it difficult to create meaningful visualizations using simple data aggregation and visual encoding techniques. Consequently, visualization researchers h...	[]	Train
35,028	24	Title: Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics Abstract: We present an iterative framework to improve the amortized approximations of posterior distributions in the context of Bayesian inverse problems, which is inspired by loop-unrolled gradient descent methods and is theore...	[]	Train
35,029	22	Title: Designing Asynchronous Multiparty Protocols with Crash-Stop Failures Abstract: Session types provide a typing discipline for message-passing systems. However, most session type approaches assume an ideal world: one in which everything is reliable and without failures. Yet this is in stark contrast with distribut...	[ 28035 ]	Train
35,030	16	Title: Seeing the World through Your Eyes Abstract: The reflective nature of the human eye is an underappreciated source of information about what the world around us looks like. By imaging the eyes of a moving person, we can collect multiple views of a scene outside the camera's direct line of sight through the reflec...	[ 19781, 5820, 13863, 4503 ]	Train
35,031	16	Title: Augmentation-based Domain Generalization for Semantic Segmentation Abstract: Unsupervised Domain Adaptation (UDA) and domain generalization (DG) are two research areas that aim to tackle the lack of generalization of Deep Neural Networks (DNNs) towards unseen domains. While UDA methods have access to unlabeled t...	[ 35162 ]	Validation
35,032	8	Title: Maximization of Timely Throughput with Target Wake Time in IEEE 802.11ax Abstract: In the IEEE 802.11ax standard, a mode of operation called target wake time (TWT) is introduced towards enabling deterministic scheduling in WLAN networks. In the TWT mode, a group of stations (STAs) can negotiate with the access p...	[]	Validation
35,033	16	Title: Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation Abstract: Semantic segmentation has recently witnessed great progress. Despite the impressive overall results, the segmentation performance in some hard areas (e.g., small objects or thin parts) is still not promising. A straightforward ...	[]	Test
35,034	16	Title: Crossing Points Detection in Plain Weave for Old Paintings with Deep Learning Abstract: In the forensic studies of painting masterpieces, the analysis of the support is of major importance. For plain weave fabrics, the densities of vertical and horizontal threads are used as main features, while angle deviations...	[ 2149 ]	Validation
35,035	16	Title: SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation Abstract: We propose a novel solution for unpaired image-to-image (I2I) translation. To translate complex images with a wide range of objects to a different domain, recent approaches often use the object annotations to perform per-class source-t...	[]	Validation
35,036	24	Title: Revisiting column-generation-based matheuristic for learning classification trees Abstract: Decision trees are highly interpretable models for solving classification problems in machine learning (ML). The standard ML algorithms for training decision trees are fast but generate suboptimal trees in terms of accura...	[]	Train
35,037	30	Title: Automatic Standardization of Arabic Dialects for Machine Translation Abstract: Based on an annotated multimedia corpus, television series Marāyā 2013, we dig into the question of “automatic standardization” of Arabic dialects for machine translation. Here we distinguish between rule-based machine translation and...	[]	Train
35,038	30	Title: Automated Assignment and Classification of Software Issues Abstract: Software issues contain units of work to fix, improve or create new threads during the development and facilitate communication among the team members. Assigning an issue to the most relevant team member and determining a category of an issue i...	[]	Train
35,039	30	Title: Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? Abstract: Though state-of-the-art (SOTA) NLP systems have achieved remarkable performance on a variety of language understanding tasks, they primarily focus on questions that have a correct and a definitive ans...	[ 13765, 24591 ]	Test
35,040	24	Title: AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Abstract: Deducing the contribution of each agent and assigning the corresponding reward to them is a crucial problem in cooperative Multi-Agent Reinforcement Learning (MARL). Previous studies try to resolve t...	[]	Train
35,041	10	Title: Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges Abstract: Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrigue across scien...	[ 13700, 45189, 4871, 21778, 32028, 42908, 6942, 30243, 36263, 6833, 27454, 575, 40643, 33220, 18248, 37070, 16471, 26468, 5864, 6124, 878, 43641 ]	Validation
35,042	24	Title: Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Abstract: The Schr\"odinger bridge problem (SBP) is gaining increasing attention in generative modeling and showing promising potential even in comparison with the score-based generative models (SGMs). SBP can be int...	[ 31696 ]	Test
35,043	6	Title: Classification of BCI-EEG based on augmented covariance matrix Abstract: Objective: Electroencephalography signals are recorded as a multidimensional dataset. We propose a new framework based on the augmented covariance extracted from an autoregressive model to improve motor imagery classification. Methods: From...	[ 44093 ]	Train
35,044	30	Title: Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy Abstract: To mitigate potential risks associated with language models, recent AI detection research proposes incorporating watermarks into machine-generated text through random vocabulary restric...	[ 31388, 35427, 3050, 497, 43705, 38235, 4892 ]	Test
35,045	10	Title: Natural language to SQL in low-code platforms Abstract: One of the developers' biggest challenges in low-code platforms is retrieving data from a database using SQL queries. Here, we propose a pipeline allowing developers to write natural language (NL) to retrieve data. In this study, we collect, label, and vali...	[]	Test
35,046	24	Title: Privacy-aware Gaussian Process Regression Abstract: We propose the first theoretical and methodological framework for Gaussian process regression subject to privacy constraints. The proposed method can be used when a data owner is unwilling to share a high-fidelity supervised learning model built from their data...	[ 12022 ]	Validation
35,047	12	Title: The History of Quantum Games Abstract: In this paper, we explore the historical development of playable quantum physics related games (\textit{\textbf{quantum games}}). For the purpose of this examination, we have collected over 260 quantum games ranging from commercial games, applied and serious games, and game...	[]	Validation
35,048	16	Title: Improving Food Detection For Images From a Wearable Egocentric Camera Abstract: Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve overall quality of life. To better understand the relationship between diet and health, image-based dietar...	[ 6272, 8851 ]	Train
35,049	17	Title: Acting as Inverse Inverse Planning Abstract: Great storytellers know how to take us on a journey. They direct characters to act—not necessarily in the most rational way—but rather in a way that leads to interesting situations, and ultimately creates an impactful experience for audience members looking on. If aud...	[ 30583 ]	Train
35,050	24	Title: Fair Causal Feature Selection Abstract: Fair feature selection for classification decision tasks has recently garnered significant attention from researchers. However, existing fair feature selection algorithms fall short of providing a full explanation of the causal relationship between features and sensitive a...	[]	Test
35,051	3	Title: NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? Abstract: The rapid growth of information in the field of Generative Artificial Intelligence (AI), particularly in the subfields of Natural Language Processing (NLP) and Machine Learning (ML), presents a significant challenge for...	[ 40192, 13700, 13564, 30745, 43930, 21794, 40610, 45104, 5815, 25786, 16827, 9403, 12741, 13510, 22476, 19671, 38235, 109, 37742, 634, 35580 ]	Test
35,052	24	Title: Reweighted Mixup for Subpopulation Shift Abstract: Subpopulation shift exists widely in many real-world applications, which refers to the training and test distributions that contain the same subpopulation groups but with different subpopulation proportions. Ignoring subpopulation shifts may lead to significant ...	[ 38309 ]	Train
35,053	24	Title: Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers Abstract: The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model. The NOvA d...	[]	Validation
35,054	6	Title: Does Adding Physical Realism to Virtual Reality Training Reduce Time Compression? Abstract: Virtual reality (VR) is known to cause a “time compression” effect, where the time spent in VR feels to pass faster than the effective elapsed time. Our goal with this research is to investigate if the physical realism of...	[]	Test
35,055	24	Title: Infinite Action Contextual Bandits with Reusable Data Exhaust Abstract: For infinite action contextual bandits, smoothed regret and reduction to regression results in state-of-the-art online performance with computational cost independent of the action set: unfortunately, the resulting data exhaust does not have...	[]	Test
35,056	24	Title: Generalized neural closure models with interpretability Abstract: nan	[ 1993 ]	Train
35,057	16	Title: Adaptive Similarity Bootstrapping for Self-Distillation Abstract: Most self-supervised methods for representation learning leverage a cross-view consistency objective i.e., they maximize the representation similarity of a given image's augmented views. Recent work NNCLR goes beyond the cross-view paradigm and us...	[ 36051 ]	Train
35,058	24	Title: Goal-Conditioned Predictive Coding as an Implicit Planner for Offline Reinforcement Learning Abstract: Recent work has demonstrated the effectiveness of formulating decision making as a supervised learning problem on offline-collected trajectories. However, the benefits of performing sequence modeling on traject...	[]	Validation
35,059	24	Title: EZtune: A Package for Automated Hyperparameter Tuning in R Abstract: Statistical learning models have been growing in popularity in recent years. Many of these models have hyperparameters that must be tuned for models to perform well. Tuning these parameters is not trivial. EZtune is an R package with a simple u...	[]	Train
35,060	16	Title: Towards Reliable Dermatology Evaluation Benchmarks Abstract: Benchmark datasets for digital dermatology unwittingly contain inaccuracies that reduce trust in model performance estimates. We propose a resource-efficient data cleaning protocol to identify issues that escaped previous curation. The protocol leverag...	[ 18058, 5454, 38015 ]	Validation
35,061	11	Title: Coverage Path Planning with Budget Constraints for Multiple Unmanned Ground Vehicles Abstract: This paper proposes a state-machine model for a multi-modal, multi-robot environmental sensing algorithm. This multi-modal algorithm integrates two different exploration algorithms: (1) coverage path planning using var...	[]	Test
35,062	4	Title: Revolutionizing Cyber Threat Detection with Large Language Models Abstract: Natural Language Processing (NLP) domain is experiencing a revolution due to the capabilities of Pre-trained Large Language Models ( LLMs), fueled by ground-breaking Transformers architecture, resulting into unprecedented advancements. T...	[ 651, 32203, 35951 ]	Train
35,063	16	Title: Real-Time Superficial Vein Imaging System for Observing Abnormalities on Vascular Structures Abstract: Circulatory system abnormalities might be an indicator of diseases or tissue damage. Early detection of vascular abnormalities might have an important role during treatment and also raise the patient's awarenes...	[]	Test
35,064	27	Title: White paper on Selected Environmental Parameters affecting Autonomous Vehicle (AV) Sensors Abstract: Autonomous Vehicles (AVs) being developed these days rely on various sensor technologies to sense and perceive the world around them. The sensor outputs are subsequently used by the Automated Driving System (ADS)...	[ 3843 ]	Train
35,065	33	Title: Word-Mappings of Level 2 Abstract: nan	[]	Train
35,066	6	Title: Towards Feminist Intersectional XAI: From Explainability to Response-Ability Abstract: This paper follows calls for critical approaches to computing and conceptualisations of intersectional, feminist, decolonial HCI and AI design and asks what a feminist intersectional perspective in HCXAI research and design mi...	[]	Train
35,067	16	Title: AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition Abstract: Raw videos have been proven to own considerable feature redundancy where in many cases only a portion of frames can already meet the requirements for accurate recognition. In this paper, we are interested in whether su...	[]	Validation
35,068	24	Title: Invariant Layers for Graphs with Nodes of Different Types Abstract: Neural networks that satisfy invariance with respect to input permutations have been widely studied in machine learning literature. However, in many applications, only a subset of all input permutations is of interest. For heterogeneous graph da...	[]	Test
35,069	31	Title: How Data Scientists Review the Scholarly Literature Abstract: Keeping up with the research literature plays an important role in the workflow of scientists – allowing them to understand a field, formulate the problems they focus on, and develop the solutions that they contribute, which in turn shape the nature o...	[]	Train
35,070	28	Title: Waveforms for xG Non-stationary Channels Abstract: Waveform design for interference cancellation in next-generation wireless systems, which includes precoding and modulation, aims to achieve orthogonality among data signals/symbols across all Degrees of Freedom (DoF). Conventional methods struggle with non-stati...	[]	Validation
35,071	16	Title: DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation Abstract: Talking head synthesis is a promising approach for the video production industry. Recently, a lot of effort has been devoted in this research area to improve the generation quality or enhance the model generalization. ...	[ 8424, 2523, 30158, 41079 ]	Test
35,072	30	Title: MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection Abstract: Event detection (ED) is aimed to identify the key trigger words in unstructured text and predict the event types accordingly. Traditional ED models are too data-hungry to accommodate real applications with scarce labeled data. ...	[]	Train
35,073	6	Title: viz2viz: Prompt-driven stylized visualization generation using a diffusion model Abstract: Creating stylized visualization requires going beyond the limited, abstract, geometric marks produced by most tools. Rather, the designer builds stylized idioms where the marks are both transformed (e.g., photographs of ca...	[ 41146, 34074, 11820 ]	Validation
35,074	24	Title: From Data to Action: Exploring AI and IoT-driven Solutions for Smarter Cities Abstract: The emergence of smart cities demands harnessing advanced technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) and promises to unlock cities' potential to become more sustainable, efficient, and ult...	[]	Validation
35,075	30	Title: Improving Detection of ChatGPT-Generated Fake Science Using Real Publication Text: Introducing xFakeBibs a Supervised-Learning Network Algorithm Abstract: ChatGPT is becoming a new reality. In this paper, we show how to distinguish ChatGPT-generated publications from counterparts produced by scientists. Using a ...	[ 7025 ]	Test
35,076	30	Title: TrojText: Test-time Invisible Textual Trojan Insertion Abstract: In Natural Language Processing (NLP), intelligent neuron models can be susceptible to textual Trojan attacks. Such attacks occur when Trojan models behave normally for standard inputs but generate malicious output for inputs that contain a specific...	[ 34076, 34174 ]	Train
35,077	16	Title: ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining Abstract: Scene text removal (STR) aims at replacing text strokes in natural scenes with visually coherent backgrounds. Recent STR approaches rely on iterative refinements or explicit text masks, resulting in hi...	[ 42653, 17903 ]	Train

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