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
41,178	24	Title: Differentially Private Diffusion Models Generate Useful Synthetic Images Abstract: The ability to generate privacy-preserving synthetic versions of sensitive image datasets could unlock numerous ML applications currently constrained by data availability. Due to their astonishing image generation quality, diffusi...	[ 256, 10375, 35752, 40396, 23184, 45104, 37716, 15061, 3548, 22206 ]	Validation
41,179	16	Title: Adaptive-Mask Fusion Network for Segmentation of Drivable Road and Negative Obstacle With Untrustworthy Features Abstract: Segmentation of drivable roads and negative obstacles is critical to the safe driving of autonomous vehicles. Currently, many multi-modal fusion methods have been proposed to improve segment...	[]	Validation
41,180	24	Title: STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings Abstract: Deep neural networks have consistently shown great performance in several real-world use cases like autonomous vehicles, satellite imaging, etc., effectively leveraging large corpora of labeled training data. However, lea...	[]	Test
41,181	13	Title: HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Abstract: Spiking neural networks (SNNs) offer promise for efficient and powerful neurally inspired computation. Common to other types of neural networks, however, SNNs face the severe issue of vulnerability to advers...	[]	Test
41,182	16	Title: PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation Abstract: Infrared and visible image fusion is a powerful technique that combines complementary information from different modalities for downstream semantic perception tasks. Existing learning-based methods show remar...	[ 39153, 32827, 949 ]	Train
41,183	16	Title: VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking Abstract: Scale is the primary factor for building a powerful foundation model that could well generalize to a variety of downstream tasks. However, it is still challenging to train video foundation models with billions of parameters. This paper sh...	[ 35394, 3460, 37765, 14086, 872, 9672, 42794, 41931, 20588, 13425, 9810, 15666, 19263, 12127, 29173, 9593, 42270, 1151 ]	Train
41,184	6	Title: Rewriting the Script: Adapting Text Instructions for Voice Interaction Abstract: Voice assistants have sharply risen in popularity in recent years, but their use has been limited mostly to simple applications like music, hands-free search, or control of internet-of-things devices. What would it take for voice as...	[]	Train
41,185	16	Title: Explicit and Implicit Knowledge Distillation via Unlabeled Data Abstract: Data-free knowledge distillation is a challenging model lightweight task for scenarios in which the original dataset is not available. Previous methods require a lot of extra computational costs to update one or more generators and their n...	[ 13272, 5619, 19871 ]	Train
41,186	11	Title: Rafting Towards Consensus: Formation Control of Distributed Dynamical Systems Abstract: In this paper, we introduce a novel adaptation of the Raft consensus algorithm for achieving emergent formation control in multi-agent systems with a single integrator dynamics. This strategy, dubbed"Rafting,"enables robust c...	[]	Validation
41,187	16	Title: Does progress on ImageNet transfer to real-world datasets? Abstract: Does progress on ImageNet transfer to real-world datasets? We investigate this question by evaluating ImageNet pre-trained models with varying accuracy (57% - 83%) on six practical image classification datasets. In particular, we study datasets...	[ 16399, 31793, 13144, 18009, 378, 9213 ]	Validation
41,188	27	Title: A Robust Hybrid Observer for Side-slip Angle Estimation Abstract: For autonomous driving or advanced driving assistance, it is key to monitor the vehicle dynamics behavior. Accurate models of this behavior include acceleration, but also the side-slip angle, that eventually results from the complex interaction be...	[]	Validation
41,189	37	Title: Multi-Objective Fairness in Team Assembly Abstract: nan	[]	Train
41,190	36	Title: Games on Graphs Abstract: The objective of this collaborative textbook is to present the state of the art on games on graphs, which is part of a larger research topic called game theory. Games on graphs is the field concerned with games whose rules and evolution are represented by a graph.	[]	Validation
41,191	30	Title: CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors Abstract: Large language models (LLMs) pre-trained on massive corpora have demonstrated impressive few-shot learning ability on many NLP tasks. A common practice is to recast the task into a text-to-text format such that generative L...	[ 3745, 33164, 11190 ]	Train
41,192	10	Title: PAC-Based Formal Verification for Out-of-Distribution Data Detection Abstract: Cyber-physical systems (CPS) like autonomous vehicles, that utilize learning components, are often sensitive to noise and out-of-distribution (OOD) instances encountered during run-time. As such, safety critical tasks depend upon OOD ...	[]	Test
41,193	27	Title: Design of an Adaptive Lightweight LiDAR to Decouple Robot-Camera Geometry Abstract: A fundamental challenge in robot perception is the coupling of the sensor pose and robot pose. This has led to research in active vision where robot pose is changed to reorient the sensor to areas of interest for perception. Furt...	[]	Test
41,194	28	Title: Enabling Cooperative Hybrid Beamforming in TDD-based Distributed MIMO Systems Abstract: Distributed massive MIMO networks are envisioned to realize cooperative multi-point transmission in next-generation wireless systems. For efficient cooperative hybrid beamforming, the cluster of access points (APs) needs to o...	[]	Test
41,195	24	Title: Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning Abstract: In this paper, we investigate the problem of \textit{episodic reinforcement learning} with quantum oracles for state evolution. To this end, we propose an \textit{Upper Confidence Bound} (UCB) based quantum alg...	[]	Train
41,196	16	Title: Deep learning for video-text retrieval: a review Abstract: nan	[]	Test
41,197	16	Title: ENTL: Embodied Navigation Trajectory Learner Abstract: We propose Embodied Navigation Trajectory Learner (ENTL), a method for extracting long sequence representations for embodied navigation. Our approach unifies world modeling, localization and imitation learning into a single sequence prediction task. We train...	[ 13674 ]	Train
41,198	16	Title: TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential Abstract: Skeleton-based action recognition has achieved remarkable results in human action recognition with the development of graph convolutional networks (GCNs). However, the rece...	[]	Train
41,199	17	Title: Patch-Grid: An Efficient and Feature-Preserving Neural Implicit Surface Representation Abstract: Neural implicit representations are known to be more compact for depicting 3D shapes than traditional discrete representations. However, the neural representations tend to round sharp corners or edges and struggle to...	[]	Train
41,200	30	Title: FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering Abstract: Automatic fact verification has received significant attention recently. Contemporary automatic fact-checking systems focus on estimating truthfulness using numerical scores which are not human-interpretable. A human fact-checke...	[]	Validation
41,201	27	Title: Harmonic Field-based Provable Exploration of 3D Indoor Environments Abstract: This work presents an safe and efficient methodology for autonomous indoor exploration with aerial robots using Harmonic Potential Fields (HPF). The challenge of applying HPF in complex 3D environments rests on high computational load ...	[]	Train
41,202	33	Title: Maximizing Reachability Probabilities in Rectangular Automata with Random Clocks Abstract: This paper proposes an algorithm to maximize reachability probabilities for rectangular automata with random clocks via a history-dependent prophetic scheduler. This model class incorporates time-induced nondeterminism on ...	[ 11408 ]	Test
41,203	24	Title: Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay Abstract: Neural Collapse is a recently observed geometric structure that emerges in the final layer of neural network classifiers. Specifically, Neural Collapse states that at the terminal phase of neural networks trainin...	[]	Train
41,204	27	Title: Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration Abstract: Developing robot controllers capable of achieving dexterous nonprehensile manipulation, such as pushing an object on a table, is challenging. The underactuated and hybrid-dynamics nature of the prob...	[ 38188 ]	Train
41,205	16	Title: CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing Abstract: Edit fidelity is a significant issue in open-world controllable generative image editing. Recently, CLIP-based approaches have traded off simplicity to alleviate these problems by introducing spatial attention in a handpicked lay...	[ 37778, 43453 ]	Test
41,206	4	Title: SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts Abstract: Smart contracts are blockchain programs that often handle valuable assets. Writing secure smart contracts is far from trivial, and any vulnerability may lead to significant financial losses. To support developers i...	[ 11275, 33029, 19055 ]	Train
41,207	24	Title: Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models Abstract: Answering questions over domain-specific graphs requires a tailored approach due to the limited number of relations and the specific nature of the domain. Our approach integrates classic logical...	[ 39600 ]	Train
41,208	8	Title: Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality Abstract: Recently, the concept of digital twins (DTs) has received significant attention within the realm of 5G/6G. This demonstration shows an innovative DT design and implementation framework tailored toward integration wi...	[]	Test
41,209	4	Title: High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts Abstract: Recently, Deep Convolutional Neural Networks (DCNNs) including the ResNet-20 architecture have been privately evaluated on encrypted, low-resolution data with the Residue-Number-System Cheon-Kim-Kim...	[]	Train
41,210	30	Title: Automatic Evaluation of Attribution by Large Language Models Abstract: A recent focus of large language model (LLM) development, as exemplified by generative search engines, is to incorporate external references to generate and support their claims. However, evaluating the attribution, i.e., verifying whether th...	[ 14592, 27138, 13700, 38281, 22286, 22422, 44063, 9518, 38208, 33220, 27853, 35418, 12128, 10861, 24308, 10357, 889, 634, 24316, 3967 ]	Train
41,211	7	Title: Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction Abstract: Sub-new stock price prediction, forecasting the price trends of stocks listed less than one year, is crucial for effective quantitative trading. While deep learning methods have demonstrated effectiveness in predictin...	[]	Train
41,212	16	Title: NSA: Naturalistic Support Artifact to Boost Network Confidence Abstract: Visual AI systems are vulnerable to natural and synthetic physical corruption in the real-world. Such corruption often arises unexpectedly and alters the model's performance. In recent years, the primary focus has been on adversarial attack...	[]	Train
41,213	16	Title: Poisson Conjugate Prior for PHD Filtering based Track-Before-Detect Strategies in Radar Systems Abstract: A variety of filters with track-before-detect (TBD) strategies have been developed and applied to low signal-to-noise ratio (SNR) scenarios, including the probability hypothesis density (PHD) filter. Assumpt...	[]	Train
41,214	24	Title: Learning continuous-valued treatment effects through representation balancing Abstract: Estimating the effects of treatments with an associated dose on an instance's outcome, the"dose response", is relevant in a variety of domains, from healthcare to business, economics, and beyond. Such effects, also known as c...	[ 16534 ]	Validation
41,215	34	Title: Forbidden Patterns in Temporal Graphs Resulting from Encounters in a Corridor Abstract: In this paper, we study temporal graphs arising from mobility models where some agents move in a space and where edges appear each time two agents meet. We propose a rather natural one-dimensional model. If each pair of agent...	[]	Validation
41,216	16	Title: Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation Abstract: In the field of parallel imaging (PI), alongside image-domain regularization methods, substantial research has been dedicated to exploring $k$-space interpolation. However, the interpretability of these methods rema...	[ 26969, 46135 ]	Test
41,217	4	Title: An Effective Deep Learning Based Multi-Class Classification of DoS and DDoS Attack Detection Abstract: In the past few years, cybersecurity is becoming very important due to the rise in internet users. The internet attacks such as Denial of service (DoS) and Distributed Denial of Service (DDoS) attacks severely ...	[]	Train
41,218	30	Title: ARC-NLP at Multimodal Hate Speech Event Detection 2023: Multimodal Methods Boosted by Ensemble Learning, Syntactical and Entity Features Abstract: Text-embedded images can serve as a means of spreading hate speech, propaganda, and extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavi...	[ 6029 ]	Train
41,219	28	Title: Soft Guessing Under Log-Loss Distortion Allowing Errors Abstract: This paper deals with the problem of soft guessing under log-loss distortion (logarithmic loss) that was recently investigated by [Wu and Joudeh, IEEE ISIT, pp. 466--471, 2023]. We extend this problem to soft guessing allowing errors, i.e., at eac...	[]	Train
41,220	24	Title: Training of Spiking Neural Network joint Curriculum Learning Strategy Abstract: Starting with small and simple concepts, and gradually introducing complex and difficult concepts is the natural process of human learning. Spiking Neural Networks (SNNs) aim to mimic the way humans process information, but current S...	[ 13962 ]	Train
41,221	16	Title: FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation Abstract: The research community has witnessed the powerful potential of self-supervised Masked Image Modeling (MIM), which enables the models capable of learning visual representation from unlabeled data. In this paper, to incorp...	[ 38844 ]	Validation
41,222	16	Title: Homography Estimation in Complex Topological Scenes Abstract: Surveillance videos and images are used for a broad set of applications, ranging from traffic analysis to crime detection. Extrinsic camera calibration data is important for most analysis applications. However, security cameras are susceptible to envi...	[]	Train
41,223	9	Title: Computation with Large Advice Abstract: In this paper, we consider a new direction of computation, which we call computation with large advice. We mainly consider constant space computation with large advice in Turing machines, and prove the following facts: (i) The class of decision problems solvable by a const...	[]	Train
41,224	27	Title: Zero-Shot Robot Manipulation from Passive Human Videos Abstract: Can we learn robot manipulation for everyday tasks, only by watching videos of humans doing arbitrary tasks in different unstructured settings? Unlike widely adopted strategies of learning task-specific behaviors or direct imitation of a human vide...	[ 23968, 21782 ]	Train
41,225	24	Title: A Mathematical Model for Curriculum Learning Abstract: Curriculum learning (CL) - training using samples that are generated and presented in a meaningful order - was introduced in the machine learning context around a decade ago. While CL has been extensively used and analysed empirically, there has been very li...	[ 34097, 4575 ]	Train
41,226	16	Title: VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions Abstract: Video-grounded dialogue understanding is a challenging problem that requires machine to perceive, parse and reason over situated semantics extracted from weakly aligned video and dialogues. Mos...	[ 42481 ]	Test
41,227	16	Title: IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization Abstract: Semi-supervised learning (SSL) aims to leverage massive unlabeled data when labels are expensive to obtain. Unfortunately, in many real-world applications, the collected unlabeled data will inevitably con...	[]	Train
41,228	24	Title: Adaptive Modeling of Satellite-Derived Nighttime Lights Time-Series for Tracking Urban Change Processes Using Machine Learning Abstract: Remotely sensed nighttime lights (NTL) uniquely capture urban change processes that are important to human and ecological well-being, such as urbanization, socio-political conf...	[]	Train
41,229	16	Title: Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection Abstract: Monocular 3D object detection aims to locate objects in different scenes with just a single image. Due to the absence of depth information, several monocular 3D detection techniques have emerg...	[ 9126 ]	Train
41,230	16	Title: Explicit Correspondence Matching for Generalizable Neural Radiance Fields Abstract: We present a new generalizable NeRF method that is able to directly generalize to new unseen scenarios and perform novel view synthesis with as few as two source views. The key to our approach lies in the explicitly modeled corre...	[ 3672, 41174, 26086 ]	Train
41,231	30	Title: LanSER: Language-Model Supported Speech Emotion Recognition Abstract: Speech emotion recognition (SER) models typically rely on costly human-labeled data for training, making scaling methods to large speech datasets and nuanced emotion taxonomies difficult. We present LanSER, a method that enables the use of unl...	[]	Test
41,232	16	Title: HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation Abstract: Monocular 3D human pose and shape estimation is an illposed problem since multiple 3D solutions can explain a 2D image of a subject. Recent approaches predict a probability distributio...	[ 39809 ]	Test
41,233	24	Title: Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area Abstract: This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after the pandemic lockdown. A cellular pho...	[]	Train
41,234	4	Title: Large Language Models for Code: Security Hardening and Adversarial Testing Abstract: Large language models (large LMs) are increasingly trained on massive codebases and used to generate code. However, LMs lack awareness of security and are found to frequently produce unsafe code. This work studies the security o...	[ 32450, 33391, 14869, 6301, 5149 ]	Test
41,235	6	Title: SONIA: an immersive customizable virtual reality system for the education and exploration of brain networks Abstract: While mastery of neuroanatomy is important for the investigation of the brain, there is an increasing interest in exploring the neural pathways to better understand the roles of neural circuitry ...	[]	Test
41,236	30	Title: Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy Abstract: Ultra-fine entity typing (UFET) is the task of inferring the semantic types, from a large set of fine-grained candidates, that apply to a given entity mention. This task is especially challenging because we o...	[ 40211 ]	Train
41,237	16	Title: Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment Abstract: Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most methods ignore the ...	[ 18347 ]	Validation
41,238	30	Title: Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization Abstract: Biomedical entity linking and event extraction are two crucial tasks to support text understanding and retrieval in the biomedical domain. These two tasks intrinsically benefit each other: entity link...	[]	Train
41,239	30	Title: ChatGPT may Pass the Bar Exam soon, but has a Long Way to Go for the LexGLUE benchmark Abstract: Following the hype around OpenAI's ChatGPT conversational agent, the last straw in the recent development of Large Language Models (LLMs) that demonstrate emergent unprecedented zero-shot capabilities, we audit the l...	[ 8677, 14026, 2959, 30323, 43668 ]	Train
41,240	4	Title: The Power of Telemetry: Uncovering Software-Based Side-Channel Attacks on Apple M1/M2 Systems Abstract: Power analysis is a class of side-channel attacks, where power consumption data is used to infer sensitive information and extract secrets from a system. Traditionally, such attacks required physical access to...	[ 20256 ]	Validation
41,241	24	Title: Concrete Safety for ML Problems: System Safety for ML Development and Assessment Abstract: Many stakeholders struggle to make reliances on ML-driven systems due to the risk of harm these systems may cause. Concerns of trustworthiness, unintended social harms, and unacceptable social and ethical violations underm...	[]	Train
41,242	25	Title: Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis Abstract: The spontaneous behavior that often occurs in conversations makes speech more human-like compared to reading-style. However, synthesizing spontaneous-style speech is challenging due to the l...	[]	Train
41,243	24	Title: Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning Abstract: Efficient exploration is critical in cooperative deep Multi-Agent Reinforcement Learning (MARL). In this work, we propose an exploration method that effectively encourages cooperative exploration based on the i...	[]	Train
41,244	30	Title: RPTQ: Reorder-based Post-training Quantization for Large Language Models Abstract: Large-scale language models (LLMs) have demonstrated impressive performance, but their deployment presents challenges due to their significant memory usage. This issue can be alleviated through quantization. In this paper, we iden...	[ 8640, 6979, 37732, 13700, 16262, 37438, 36752, 12851, 20467, 1141, 40953, 28606 ]	Test
41,245	4	Title: Blockchain Large Language Models Abstract: This paper presents a dynamic, real-time approach to detecting anomalous blockchain transactions. The proposed tool, BlockGPT, generates tracing representations of blockchain activity and trains from scratch a large language model to act as a real-time Intrusion Detecti...	[ 25978, 12036 ]	Test
41,246	39	Title: Optimal Mixing via Tensorization for Random Independent Sets on Arbitrary Trees Abstract: We study the mixing time of the single-site update Markov chain, known as the Glauber dynamics, for generating a random independent set of a tree. Our focus is obtaining optimal convergence results for arbitrary trees. We c...	[ 9762, 43027 ]	Validation
41,247	27	Title: Large Language Models as Commonsense Knowledge for Large-Scale Task Planning Abstract: Natural language provides a natural interface for human communication, yet it is challenging for robots to comprehend due to its abstract nature and inherent ambiguity. Large language models (LLMs) contain commonsense knowledg...	[ 33220, 13510, 37626, 39114, 16556, 26830, 13882, 35292 ]	Train
41,248	16	Title: Neuromorphic sensing for yawn detection in driver drowsiness Abstract: Driver monitoring systems (DMS) are a key component of vehicular safety and essential for the transition from semiautonomous to fully autonomous driving. A key task for DMS is to ascertain the cognitive state of a driver and to determine thei...	[]	Train
41,249	24	Title: Law of Balance and Stationary Distribution of Stochastic Gradient Descent Abstract: The stochastic gradient descent (SGD) algorithm is the algorithm we use to train neural networks. However, it remains poorly understood how the SGD navigates the highly nonlinear and degenerate loss landscape of a neural network....	[ 11121, 45210, 24271 ]	Train
41,250	10	Title: Big-Data-Driven and AI-Based Framework to Enable Personalization in Wireless Networks Abstract: Current communication networks use design methodologies that prevent the realization of maximum network efficiency. In the first place, while users' perception of satisfactory service diverges widely, current networks...	[ 43352 ]	Train
41,251	16	Title: Mitigating Bias in Visual Transformers via Targeted Alignment Abstract: As transformer architectures become increasingly prevalent in computer vision, it is critical to understand their fairness implications. We perform the first study of the fairness of transformers applied to computer vision and benchmark seve...	[ 22811 ]	Train
41,252	24	Title: Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas Abstract: Landslide susceptibility assessment (LSA) is of paramount importance in mitigating landslide risks. Recently, there has been a surge in the utilization of ...	[]	Train
41,253	24	Title: Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Abstract: Federated learning (FL) is a distributed paradigm that coordinates massive local clients to collaboratively train a global model via stage-wise local training processes on the heterogeneous dataset. Previous...	[ 16201, 35570, 33374 ]	Train
41,254	27	Title: The ReSWARM Microgravity Flight Experiments: Planning, Control, and Model Estimation for On-Orbit Close Proximity Operations Abstract: On-orbit close proximity operations involve robotic spacecraft maneuvering and making decisions for a growing number of mission scenarios demanding autonomy, including on-orbit a...	[]	Test
41,255	28	Title: QKD Based on Time-Entangled Photons and Its Key-Rate Promise Abstract: For secure practical systems, quantum key distribution (QKD) must provide high key rates over long distances. Time-entanglement-based QKD promises to increase the secret key rate and distribution distances compared to other QKD implementation...	[ 39770 ]	Train
41,256	16	Title: A Parts Based Registration Loss for Detecting Knee Joint Areas Abstract: In this paper, a parts based loss is considered for finetune registering knee joint areas. Here the parts are defined as abstract feature vectors with location and they are automatically selected from a reference image. For a test image the...	[]	Validation
41,257	30	Title: Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training Abstract: Automatic text simplification systems help to reduce textual information barriers on the internet. However, for languages other than English, only few parallel data to train these syste...	[ 37663 ]	Train
41,258	6	Title: VR Accessibility in Distance Adult Education Abstract: nan	[]	Train
41,259	6	Title: Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Abstract: Despite the widespread use of artificial intelligence (AI), designing user experiences (UX) for AI-powered systems remains challenging. UX designers face hurdles understanding AI...	[ 6544, 33967, 27631 ]	Train
41,260	4	Title: BRF: eBPF Runtime Fuzzer Abstract: The eBPF technology in the Linux kernel has been widely adopted for different applications, such as networking, tracing, and security, thanks to the programmability it provides. By allowing user-supplied eBPF programs to be executed directly in the kernel, it greatly increases ...	[]	Test
41,261	16	Title: Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning Abstract: Current video-based scene graph generation (VidSGG) methods have been found to perform poorly on predicting predicates that are less represented due to the inherent biased distribution in the tr...	[ 32960 ]	Train
41,262	10	Title: A Survey on Causal Discovery: Theory and Practice Abstract: nan	[ 5075, 20187 ]	Train
41,263	23	Title: Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement Abstract: Deep learning (DL) package supply chains (SCs) are critical for DL frameworks to remain competitive. However, vital knowledge on the nature of DL package SCs is still lacking. In this paper, we explore the ...	[]	Validation
41,264	16	Title: CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation Abstract: There has been a growing interest in developing multimodal machine translation (MMT) systems that enhance neural machine translation (NMT) with visual knowledge. This problem setup involves using images ...	[ 13564 ]	Train
41,265	30	Title: Prompt position really matters in few-shot and zero-shot NLU tasks Abstract: Prompt-based models have made remarkable advancements in the fields of zero-shot and few-shot learning, attracting a lot of attention from researchers. Developing an effective prompt template plays a critical role. However, prior studie...	[ 3971 ]	Train
41,266	36	Title: Episodic Logit-Q Dynamics for Efficient Learning in Stochastic Teams Abstract: We present new learning dynamics combining (independent) log-linear learning and value iteration for stochastic games within the auxiliary stage game framework. The dynamics presented provably attain the efficient equilibrium (also kn...	[ 28477, 18406, 30303 ]	Train
41,267	6	Title: Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling Abstract: Data storytelling plays an important role in data workers' daily jobs since it boosts team collaboration and public communication. However, to make an appealing data story, data workers spend tre...	[ 29472, 33220, 4694, 7962, 32027, 43485 ]	Train
41,268	16	Title: SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth Abstract: Exploring robust and efficient association methods has always been an important issue in multiple-object tracking (MOT). Although existing tracking methods have achieved impressive performance, congestion and fre...	[ 39370 ]	Train
41,269	4	Title: CryptoVampire: Automated Reasoning for the Complete Symbolic Attacker Cryptographic Model Abstract: Cryptographic protocols are extremely hard to design and prove correct, as witnessed by the ever-growing list of attacks even on protocol standards. Using the symbolic model of cryptography, protocols are proven c...	[]	Validation
41,270	16	Title: Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data Abstract: Accurate detection of large-scale, elliptical-shape fibers, including their parameters of center, orientation and major/minor axes, on the 2D cross-sectioned image slices is very important for characterizing the underlyi...	[]	Train
41,271	16	Title: EMS-Net: Efficient Multi-Temporal Self-Attention For Hyperspectral Change Detection Abstract: Hyperspectral change detection plays an essential role of monitoring the dynamic urban development and detecting precise fine object evolution and alteration. In this paper, we have proposed an original Efficient Multi-...	[ 23142 ]	Train
41,272	24	Title: Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application Abstract: This paper presents an efficient algorithm to solve the sleeping bandit with multiple plays problem in the context of an online recommendation system. The problem involves bounded, adversarial loss and unknown i...	[]	Train
41,273	16	Title: ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency Abstract: Recently, great success has been made in learning visual representations from text supervision, facilitating the emergence of text-supervised semantic segmentation. However, existing works focus on pixel grouping...	[ 23840, 32587, 5807, 12953, 29981 ]	Train
41,274	30	Title: Hate Speech and Offensive Language Detection using an Emotion-aware Shared Encoder Abstract: The rise of emergence of social media platforms has fundamentally altered how people communicate, and among the results of these developments is an increase in online use of abusive content. Therefore, automatically dete...	[]	Train
41,275	16	Title: ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification Abstract: Vehicle re-identification is a cross-view search task by matching the same target vehicle from different perspectives. It serves an important role in road-vehicle collaboration and intelligent road control. With the large-scale and d...	[]	Validation
41,276	8	Title: Reinforcement learning - based adaptation and scheduling methods for multi-source DASH Abstract: Dynamic adaptive streaming over HTTP (DASH) has been widely used in video streaming recently. In DASH, the client downloads video chunks in order from a server. The rate adaptation function at the video client enha...	[]	Test
41,277	16	Title: Novel deep learning methods for 3D flow field segmentation and classification Abstract: Flow field segmentation and classification help researchers to understand vortex structure and thus turbulent flow. Existing deep learning methods mainly based on global information and focused on 2D circumstance. Based on fl...	[]	Train

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