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
28,578	24	Title: Learning nonparametric DAGs with incremental information via high-order HSIC Abstract: Score-based methods for learning Bayesain networks(BN) aim to maximizing the global score functions. However, if local variables have direct and indirect dependence simultaneously, the global optimization on score functions mi...	[]	Train
28,579	24	Title: Tight conditions for when the NTK approximation is valid Abstract: We study when the neural tangent kernel (NTK) approximation is valid for training a model with the square loss. In the lazy training setting of Chizat et al. 2019, we show that rescaling the model by a factor of $\alpha = O(T)$ suffices for the N...	[]	Train
28,580	10	Title: A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Abstract: Large Language Models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge d...	[ 19968, 40192, 44419, 8200, 15881, 5643, 8715, 25227, 13838, 38157, 44173, 16401, 28820, 8853, 7831, 39576, 2585, 35482, 43930, 5149, 37152, 13345, 41122, 13224, 19505, 24504, 35388, 23359, 43714, 17606, 5960, 15049, 23371, 4175, 33748, 44246, 1...	Train
28,581	10	Title: Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Abstract: Adversarial attack is commonly regarded as a huge threat to neural networks because of misleading behavior. This paper presents an opposite perspective: adversarial attacks can be harnessed to improve neural models i...	[]	Validation
28,582	30	Title: REDFM: a Filtered and Multilingual Relation Extraction Dataset Abstract: Relation Extraction (RE) is a task that identifies relationships between entities in a text, enabling the acquisition of relational facts and bridging the gap between natural language and structured knowledge. However, current RE models oft...	[]	Test
28,583	31	Title: VideolandGPT: A User Study on a Conversational Recommender System Abstract: This paper investigates how large language models (LLMs) can enhance recommender systems, with a specific focus on Conversational Recommender Systems that leverage user preferences and personalised candidate selections from existing rank...	[ 30131, 13700, 24141, 31215 ]	Train
28,584	13	Title: Run Time Bounds for Integer-Valued OneMax Functions Abstract: While most theoretical run time analyses of discrete randomized search heuristics focused on finite search spaces, we consider the search space $\mathbb{Z}^n$. This is a further generalization of the search space of multi-valued decision variables $\{...	[]	Train
28,585	30	Title: Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss Abstract: Contextualized embeddings are proven to be powerful tools in multiple NLP tasks. Nonetheless, challenges regarding their interpretability and capability to represent lexical semantics still remain. In this paper, we pro...	[]	Validation
28,586	16	Title: SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency Abstract: Images captured under low-light conditions are often plagued by several challenges, including diminished contrast, increased noise, loss of fine details, and unnatural color reproduction. These factors can signi...	[]	Train
28,587	24	Title: Uncovering Unique Concept Vectors through Latent Space Decomposition Abstract: Interpreting the inner workings of deep learning models is crucial for establishing trust and ensuring model safety. Concept-based explanations have emerged as a superior approach that is more interpretable than feature attribution es...	[ 2664 ]	Test
28,588	4	Title: $\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems Abstract: Graph neural networks (GNNs) have shown great success in detecting intellectual property (IP) piracy and hardware Trojans (HTs). However, the machine learning community has demonstrated that GNNs are susceptibl...	[]	Train
28,589	27	Title: OpenVR: Teleoperation for Manipulation Abstract: Across the robotics field, quality demonstrations are an integral part of many control pipelines. However, collecting high-quality demonstration trajectories remains time-consuming and difficult, often resulting in the number of demonstrations being the performanc...	[ 30740 ]	Train
28,590	16	Title: Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation Abstract: 3D semantic segmentation is a critical task in many real-world applications, such as autonomous driving, robotics, and mixed reality. However, the task is extremely challenging due to ambiguities co...	[]	Validation
28,591	25	Title: Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms Abstract: Robust audio anti-spoofing has been increasingly challenging due to the recent advancements on deepfake techniques. While spectrograms have demonstrated their capability for anti-spoofing, complementary informati...	[]	Validation
28,592	16	Title: GREC: Generalized Referring Expression Comprehension Abstract: The objective of Classic Referring Expression Comprehension (REC) is to produce a bounding box corresponding to the object mentioned in a given textual description. Commonly, existing datasets and techniques in classic REC are tailored for expression...	[ 5024, 38753, 29733, 34982, 17097, 38577, 23570, 41109, 11894, 44890 ]	Validation
28,593	4	Title: Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection Abstract: WebAssembly (Wasm) is a low-level binary format for web applications, which has found widespread adoption due to its improved performance and compatibility with existing software. However, the popularity of Wasm has...	[ 35203 ]	Train
28,594	6	Title: The impact of the COVID-19 pandemic on daily rhythms Abstract: OBJECTIVE The COVID-19 pandemic has significantly impacted daily activity rhythms and life routines with people adjusting to new work schedules, exercise routines, and other everyday life activities. This study examines temporal changes in daily acti...	[]	Train
28,595	20	Title: Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection Abstract: Building upon the exact methods presented in our earlier work [J. Complexity, 2022], we introduce a heuristic approach for the star discrepancy subset selection problem. The heuristic gradually improves the current-best subs...	[]	Validation
28,596	16	Title: LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing Abstract: Visual question answering (VQA) methods in remote sensing (RS) aim to answer natural language questions with respect to an RS image. Most of the existing methods require a large amount of computational resources, whi...	[ 9890 ]	Validation
28,597	30	Title: Predicting Desirable Revisions of Evidence and Reasoning in Argumentative Writing Abstract: We develop models to classify desirable evidence and desirable reasoning revisions in student argumentative writing. We explore two ways to improve classifier performance – using the essay context of the revision, and usi...	[ 14017, 3359 ]	Validation
28,598	16	Title: Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Abstract: Few Shot Instance Segmentation (FSIS) requires models to detect and segment novel classes with limited several support examples. In this work, we explore a simple yet unified solution for FSIS as well as its incremental v...	[ 44688, 4882, 41109, 33944, 8506 ]	Train
28,599	28	Title: Database Matching Under Noisy Synchronization Errors Abstract: The re-identification or de-anonymization of users from anonymized data through matching with publiclyavailable correlated user data has raised privacy concerns, leading to the complementary measure of obfuscation in addition to anonymization. Recent...	[]	Validation
28,600	30	Title: Unsupervised Layer-wise Score Aggregation for Textual OOD Detection Abstract: Out-of-distribution (OOD) detection is a rapidly growing field due to new robustness and security requirements driven by an increased number of AI-based systems. Existing OOD textual detectors often rely on an anomaly score (e.g., Maha...	[ 30264 ]	Train
28,601	24	Title: GANs Settle Scores! Abstract: Generative adversarial networks (GANs) comprise a generator, trained to learn the underlying distribution of the desired data, and a discriminator, trained to distinguish real samples from those output by the generator. A majority of GAN literature focuses on understanding the optim...	[ 30402 ]	Test
28,602	23	Title: Sentiment Overflow in the Testing Stack: Analysing Software Testing Posts on Stack Overflow Abstract: nan	[]	Train
28,603	16	Title: Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing Abstract: Despite their superior performance, deep-learning methods often suffer from the disadvantage of needing large-scale well-annotated training data. In response, recent literature has seen a proliferation of efforts aimed at red...	[ 33767 ]	Test
28,604	30	Title: RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction Abstract: We present RadGraph2, a novel dataset for extracting information from radiology reports that focuses on capturing changes in disease state and device placement over time. We introduce a hierarchical sch...	[ 37496, 7811 ]	Train
28,605	24	Title: Deep Stochastic Mechanics Abstract: This paper introduces a novel deep-learning-based approach for numerical simulation of a time-evolving Schr\"odinger equation inspired by stochastic mechanics and generative diffusion models. Unlike existing approaches, which exhibit computational complexity that scales expone...	[]	Train
28,606	24	Title: EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models Abstract: Large Language Models (LLMs) such as GPTs and LLaMa have ushered in a revolution in machine intelligence, owing to their exceptional capabilities in a wide range of machine learning tasks. However, the transition of LLMs from data cen...	[ 13700, 5649, 29076, 20762, 41244, 12851, 5817, 43452, 8640, 23107, 33220, 30280, 3921, 1234, 6353, 12753, 13525, 18785, 10598, 31976, 14446, 42993, 1141, 43641, 32639 ]	Train
28,607	23	Title: Who Answers It Better? An In-Depth Analysis of ChatGPT and Stack Overflow Answers to Software Engineering Questions Abstract: Over the last decade, Q&A platforms have played a crucial role in how programmers seek help online. The emergence of ChatGPT, however, is causing a shift in this pattern. Despite ChatGPT'...	[ 20228, 21127, 3050, 44173, 9518, 9681, 32250, 39544, 43930, 39164 ]	Train
28,608	8	Title: Location Privacy and Spectrum Efficiency Enhancement in Spectrum Sharing Systems Abstract: In this work, we investigate the benefits of secondary user (SU) network beamforming on improving primary user (PU) location privacy in spectrum sharing systems, where the beamformer in the SU network is designed to suppre...	[]	Test
28,609	16	Title: BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning Abstract: With the surge of large-scale pre-trained models (PTMs), fine-tuning these models to numerous downstream tasks becomes a crucial problem. Consequently, parameter efficient transfer learning (PETL) of large models has grasped huge attenti...	[]	Train
28,610	24	Title: On the impact of activation and normalization in obtaining isometric embeddings at initialization Abstract: In this paper, we explore the structure of the penultimate Gram matrix in deep neural networks, which contains the pairwise inner products of outputs corresponding to a batch of inputs. In several architec...	[]	Validation
28,611	8	Title: Traffic Characteristics of Extended Reality Abstract: This tutorial paper analyzes the traffic characteristics of immersive experiences with extended reality (XR) technologies, including Augmented reality (AR), virtual reality (VR), and mixed reality (MR). The current trend in XR applications is to offload the c...	[]	Test
28,612	24	Title: Robustness-preserving Lifelong Learning via Dataset Condensation Abstract: Lifelong learning (LL) aims to improve a predictive model as the data source evolves continuously. Most work in this learning paradigm has focused on resolving the problem of 'catastrophic forgetting,' which refers to a notorious dilemma ...	[]	Train
28,613	4	Title: Adversarial Reconnaissance Mitigation and Modeling Abstract: Adversarial reconnaissance is a crucial step in sophisticated cyber-attacks as it enables threat actors to find the weakest points of otherwise well-defended systems. To thwart reconnaissance, defenders can employ cyber deception techniques, such as de...	[]	Test
28,614	16	Title: Benchmarking Low-Shot Robustness to Natural Distribution Shifts Abstract: Robustness to natural distribution shifts has seen remarkable progress thanks to recent pre-training strategies combined with better fine-tuning methods. However, such fine-tuning assumes access to large amounts of labelled data, and the e...	[]	Train
28,615	16	Title: Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin Abstract: nan	[]	Train
28,616	24	Title: Continuous Spatiotemporal Transformers Abstract: Modeling spatiotemporal dynamical systems is a fundamental challenge in machine learning. Transformer models have been very successful in NLP and computer vision where they provide interpretable representations of data. However, a limitation of transformers in mod...	[]	Test
28,617	24	Title: Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training Abstract: Machine learning-based forecasting models are commonly used in Intelligent Transportation Systems (ITS) to predict traffic patterns and provide city-wide services. However, most of the existing models are susceptible...	[ 12843 ]	Validation
28,618	6	Title: Novel BCI paradigm for ALS patients based on EEG and Pupillary Accommodative Response Abstract: Brain-computer interfaces (BCIs) are one of the few alternatives to enable locked-in syndrome (LIS) patients to communicate with the external world, while they are the only solution for complete locked-in syndrome (CL...	[]	Train
28,619	29	Title: LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis Abstract: High-Level Synthesis allows hardware designers to create complex RTL designs using C/C++. The traditional HLS workflow involves iterations of C/C++ simulation for partial functional verification and HLS synthesis for coarse...	[]	Train
28,620	37	Title: From Unstructured to Structured: Transforming Chatbot Dialogues into Data Mart Schema for Visualization Abstract: Schools are among the primary avenues for public healthcare interventions. With resource limitations posing challenges to the routine conduct of health and wellness checks in Philippine public school...	[]	Validation
28,621	27	Title: Occlusion-aware Risk Assessment and Driving Strategy for Autonomous Vehicles Using Simplified Reachability Quantification Abstract: One of the unresolved challenges for autonomous vehicles is safe navigation among occluded pedestrians and vehicles. Previous approaches included generating phantom vehicles and ass...	[]	Train
28,622	26	Title: Hyperlink communities in higher-order networks Abstract: Many networks can be characterised by the presence of communities, which are groups of units that are closely linked and can be relevant in understanding the system's overall function. Recently, hypergraphs have emerged as a fundamental tool for modelling ...	[]	Test
28,623	16	Title: Food Recognition and Nutritional Apps Abstract: Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet. Such apps can monitor food intake as a digital diary and even employ artificial intelligence to assess the diet automatically. Alt...	[]	Train
28,624	13	Title: All You Need is Sex for Diversity Abstract: nan	[]	Train
28,625	24	Title: Reducing Computational Costs in Sentiment Analysis: Tensorized Recurrent Networks vs. Recurrent Networks Abstract: Anticipating audience reaction towards a certain text is integral to several facets of society ranging from politics, research, and commercial industries. Sentiment analysis (SA) is a useful natural...	[ 724 ]	Test
28,626	26	Title: Exploring the Journey to Drug Overdose: Applying the Journey to Crime Framework to Drug Sales Locations and Overdose Death Locations Abstract: Drug overdose is a pressing public health concern in the United States, resulting in a significant number of fatalities each year. In this study, we employ the Journey to...	[]	Train
28,627	16	Title: Inductive Graph Neural Networks for Moving Object Segmentation Abstract: Moving Object Segmentation (MOS) is a challenging problem in computer vision, particularly in scenarios with dynamic backgrounds, abrupt lighting changes, shadows, camouflage, and moving cameras. While graph-based methods have shown promisi...	[]	Train
28,628	30	Title: Identity Construction in a Misogynist Incels Forum Abstract: Online communities of involuntary celibates (incels) are a prominent source of misogynist hate speech. In this paper, we use quantitative text and network analysis approaches to examine how identity groups are discussed on incels.is, the largest black-...	[ 11031 ]	Train
28,629	3	Title: Bias, diversity, and challenges to fairness in classification and automated text analysis. From libraries to AI and back Abstract: Libraries are increasingly relying on computational methods, including methods from Artificial Intelligence (AI). This increasing usage raises concerns about the risks of AI that are...	[]	Train
28,630	27	Title: Push-MOG: Efficient Pushing to Consolidate Polygonal Objects for Multi-Object Grasping Abstract: Recently, robots have seen rapidly increasing use in homes and warehouses to declutter by collecting objects from a planar surface and placing them into a container. While current techniques grasp objects individuall...	[]	Test
28,631	1	Title: A dual watermaking scheme based on Sobolev type orthogonal moments for document authentication Abstract: A dual watermarking scheme based on Sobolev type orthogonal moments, Charlier and Meixner, is proposed based on different discrete measures. The existing relation through the connection formulas allows to pro...	[]	Validation
28,632	24	Title: Moccasin: Efficient Tensor Rematerialization for Neural Networks Abstract: The deployment and training of neural networks on edge computing devices pose many challenges. The low memory nature of edge devices is often one of the biggest limiting factors encountered in the deployment of large neural network models...	[]	Validation
28,633	4	Title: Early Jamming Detection in Mobile Indoor Scenarios via Deep Learning Abstract: The current state of the art on jamming detection relies on link-layer metrics. A few examples are the bit-error rate, the packet delivery ratio, the throughput, and the increase of the signal-to-noise ratio. As a result, these techni...	[ 31088 ]	Validation
28,634	10	Title: Qualitative Prediction of Multi-Agent Spatial Interactions Abstract: Deploying service robots in our daily life, whether in restaurants, warehouses or hospitals, calls for the need to reason on the interactions happening in dense and dynamic scenes. In this paper, we present and benchmark three new approaches to...	[]	Train
28,635	30	Title: Revisiting k-NN for Fine-tuning Pre-trained Language Models Abstract: “Pre-trained Language Models (PLMs), as parametric-based eager learners, have become thede-facto choice for current paradigms of Natural Language Processing (NLP). In contrast, k-Nearest-Neighbor (k-NN) classifiers, as the lazy learning paradi...	[]	Test
28,636	24	Title: Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling Abstract: Active learning provides a framework to adaptively sample the most informative experiments towards learning an unknown black-box function. Various approaches of active learning have been propose...	[]	Train
28,637	4	Title: Secure and Private Vickrey Auction Protocols: A Secure Multiparty Computation Approach Abstract: Recent attention on secure multiparty computation and blockchain technology has garnered new interest in developing auction protocols in a decentralized setting. In this paper, we propose a secure and private Vickrey...	[]	Train
28,638	31	Title: Local Life: Stay Informed Around You, A Scalable Geoparsing and Geotagging Approach to Serve Local News Worldwide Abstract: Local news has become increasingly important in the news industry due to its various benefits. It offers local audiences information that helps them participate in their communities and int...	[ 21126 ]	Train
28,639	30	Title: Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters Abstract: Speech representations learned in a self-supervised fashion from massive unlabeled speech corpora have been adapted successfully toward several downstream tasks. However, such representations may be skewed to...	[]	Train
28,640	16	Title: Commonsense Knowledge Assisted Deep Learning with Application to Size-Related Fine-Grained Object Detection Abstract: In this paper, we focus on a scenario where a single image contains objects of the same category but varying sizes, and we propose a lightweight approach that can not only recognize their categor...	[ 34105 ]	Train
28,641	1	Title: Towards Long Form Audio-visual Video Understanding Abstract: We live in a world filled with never-ending streams of multimodal information. As a more natural recording of the real scenario, long form audio-visual videos are expected as an important bridge for better exploring and understanding the world. In this...	[ 40921, 31399 ]	Train
28,642	16	Title: Stable Attribute Group Editing for Reliable Few-shot Image Generation Abstract: Few-shot image generation aims to generate data of an unseen category based on only a few samples. Apart from basic content generation, a bunch of downstream applications hopefully benefit from this task, such as low-data detection a...	[ 23364, 43144, 30928, 1082, 25791 ]	Train
28,643	24	Title: Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers Abstract: Machine Learning (ML) algorithms that perform classification may predict the wrong class, experiencing misclassifications. It is well-known that misclassifications may have cascading effects on the encompassing system, possibly ...	[]	Train
28,644	4	Title: MINER: A Hybrid Data-Driven Approach for REST API Fuzzing Abstract: In recent years, REST API fuzzing has emerged to explore errors on a cloud service. Its performance highly depends on the sequence construction and request generation. However, existing REST API fuzzers have trouble generating long sequences wit...	[ 7355 ]	Train
28,645	34	Title: Tight Bounds for Budgeted Maximum Weight Independent Set in Bipartite and Perfect Graphs Abstract: We consider the classic budgeted maximum weight independent set (BMWIS) problem. The input is a graph $G = (V,E)$, a weight function $w:V \rightarrow \mathbb{R}_{\geq 0}$, a cost function $c:V \rightarrow \mathbb{R...	[ 19340, 3981, 29959 ]	Train
28,646	24	Title: Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry Abstract: Simulations using machine learning (ML) models and mechanistic models are often run to inform decision-making processes. Uncertainty estimates of simulation results are critical to the decision-making process...	[]	Train
28,647	16	Title: ASIC: Aligning Sparse in-the-wild Image Collections Abstract: We present a method for joint alignment of sparse in-the-wild image collections of an object category. Most prior works assume either ground-truth keypoint annotations or a large dataset of images of a single object category. However, neither of the a...	[ 16833, 32261, 15142, 21578, 12541 ]	Test
28,648	22	Title: Verifying Performance Properties of Probabilistic Inference Abstract: In this extended abstract, we discuss the opportunity to formally verify that inference systems for probabilistic programming guarantee good performance. In particular, we focus on hybrid inference systems that combine exact and approximate in...	[]	Train
28,649	27	Title: Benchmarking ground truth trajectories with robotic total stations Abstract: Benchmarks stand as vital cornerstones in elevating SLAM algorithms within mobile robotics. Consequently, ensuring accurate and reproducible ground truth generation is vital for fair evaluation. A majority of outdoor ground truths are g...	[ 6059 ]	Validation
28,650	24	Title: Topological Graph Signal Compression Abstract: Recently emerged Topological Deep Learning (TDL) methods aim to extend current Graph Neural Networks (GNN) by naturally processing higher-order interactions, going beyond the pairwise relations and local neighborhoods defined by graph representations. In this paper ...	[ 23882, 23387 ]	Validation
28,651	16	Title: Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation Abstract: Most existing ultra-high resolution (UHR) segmentation methods always struggle in the dilemma of balancing memory cost and local characterization accuracy, which are both taken into account in our p...	[ 9976, 38924 ]	Test
28,652	16	Title: CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data Abstract: Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled text-image pairs, has demonstrated great performance in open-world vision understanding tasks. However, due to the limited Text-3D data pai...	[ 2530, 41730, 42986, 30353, 18267, 42300, 12190 ]	Validation
28,653	28	Title: Data-Driven Optimization of Directed Information over Discrete Alphabets Abstract: Directed information (DI) is a fundamental measure for the study and analysis of sequential stochastic models. In particular, when optimized over input distributions it characterizes the capacity of general communication channels....	[]	Test
28,654	16	Title: Uncertainty-aware U-Net for Medical Landmark Detection Abstract: Heatmap-based methods play an important role in anatomical landmark detection. However, most current heatmap-based methods assume that the distributions of all landmarks are the same and the distribution of each landmark is isotropic, which may not...	[]	Validation
28,655	16	Title: CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition Abstract: Creating animatable avatars from static scans requires the modeling of clothing deformations in different poses. Existing learning-based methods typically add pose-dependent deformations upon a minimally-clothed ...	[ 28912, 38665, 3646 ]	Train
28,656	18	Title: Correlation-diversified portfolio construction by finding maximum independent set in large-scale market graph Abstract: Correlation-diversified portfolios can be constructed by finding the maximum independent sets (MISs) in market graphs with edges corresponding to correlations between two stocks. The computatio...	[ 25168, 42834 ]	Validation
28,657	16	Title: ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations Abstract: Self-supervised learning has attracted increasing attention as it learns data-driven representation from data without annotations. Vision transformer-based autoencoder (ViT-AE) by He et al. (2021) is a ...	[]	Train
28,658	24	Title: Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football Abstract: Artificial Intelligence has been used to help human complete difficult tasks in complicated environments by providing optimized strategies for decision-making or replacing the manual labou...	[]	Test
28,659	16	Title: ROAM: Robust and Object-aware Motion Generation using Neural Pose Descriptors Abstract: Existing automatic approaches for 3D virtual character motion synthesis supporting scene interactions do not generalise well to new objects outside training distributions, even when trained on extensive motion capture dataset...	[ 38181, 20677 ]	Train
28,660	24	Title: Measuring Equality in Machine Learning Security Defenses Abstract: Over the past decade, the machine learning security community has developed a myriad of defenses for evasion attacks. An understudied question in that community is: for whom do these defenses defend? This work considers common approaches to defen...	[]	Test
28,661	24	Title: Toward Reproducing Network Research Results Using Large Language Models Abstract: Reproducing research results in the networking community is important for both academia and industry. The current best practice typically resorts to three approaches: (1) looking for publicly available prototypes; (2) contacting th...	[ 18411 ]	Train
28,662	39	Title: Solving break minimization problems in mirrored double round-robin tournament with QUBO solver Abstract: The break minimization problem is a fundamental problem in sports scheduling. Recently, its quadratic unconstrained binary optimization (QUBO) formulation has been proposed, which has gained much interest wit...	[]	Train
28,663	30	Title: Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers Abstract: ChatGPT is a large language model developed by OpenAI. Despite its impressive performance across various tasks, no prior work has investigated its capability in the biomedical domain yet. To this e...	[ 12128, 26357, 12087, 12602, 35580, 6942 ]	Train
28,664	37	Title: Solving Data Quality Problems with Desbordante: a Demo Abstract: Data profiling is an essential process in modern data-driven industries. One of its critical components is the discovery and validation of complex statistics, including functional dependencies, data constraints, association rules, and others. Howev...	[ 13124 ]	Train
28,665	24	Title: Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment Abstract: In the era of Internet of Things (IoT), Digital Twin (DT) is envisioned to empower various areas as a bridge between physical objects and the digital world. Through virtualization and simulation techniques, multipl...	[]	Test
28,666	25	Title: Generating symbolic music using diffusion models Abstract: Denoising Diffusion Probabilistic models have emerged as simple yet very powerful generative models. Unlike other generative models, diffusion models do not suffer from mode collapse or require a discriminator to generate high-quality samples. In this pa...	[ 38810 ]	Train
28,667	30	Title: Multi-Teacher Knowledge Distillation For Text Image Machine Translation Abstract: Text image machine translation (TIMT) has been widely used in various real-world applications, which translates source language texts in images into another target language sentence. Existing methods on TIMT are mainly divided into...	[]	Test
28,668	10	Title: AgentBench: Evaluating LLMs as Agents Abstract: Large Language Models (LLMs) are becoming increasingly smart and autonomous, targeting real-world pragmatic missions beyond traditional NLP tasks. As a result, there has been an urgent need to evaluate LLMs as agents on challenging tasks in interactive environments...	[ 14592, 34820, 1401, 18459, 35101, 40610, 2980, 16556, 33455, 10800, 12981, 33220, 33477, 15952, 29396, 35927, 7913, 37742, 43641 ]	Train
28,669	16	Title: Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain Abstract: nan	[]	Validation
28,670	24	Title: Controlling Federated Learning for Covertness Abstract: A learner aims to minimize a function $f$ by repeatedly querying a distributed oracle that provides noisy gradient evaluations. At the same time, the learner seeks to hide $\arg\min f$ from a malicious eavesdropper that observes the learner's queries. This ...	[ 18957 ]	Test
28,671	6	Title: Trust Explanations to Do What They Say Abstract: How much are we to trust a decision made by an AI algorithm? Trusting an algorithm without cause may lead to abuse, and mistrusting it may similarly lead to disuse. Trust in an AI is only desirable if it is warranted; thus, calibrating trust is critical to ensurin...	[]	Train
28,672	27	Title: UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input Abstract: Localization is a fundamental task in robotics for autonomous navigation. Existing localization methods rely on a single input data modality or train several computational models to process different m...	[ 13169 ]	Validation
28,673	16	Title: Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images Abstract: Compositional neural scene graph studies have shown that radiance fields can be an efficient tool in an editable autonomous driving simulator. However, previous studies learned within a sequence of autonomous drivi...	[ 40256, 19781, 28454, 9515, 2865, 41174, 6488, 20504, 14842 ]	Train
28,674	30	Title: LaMP: When Large Language Models Meet Personalization Abstract: This paper highlights the importance of personalization in the current state of natural language understanding and generation and introduces the LaMP benchmark -- a novel benchmark for training and evaluating language models for producing personaliz...	[ 20709, 20872, 22984, 19159, 44537, 2608, 14609, 10676, 10069, 23286, 6743, 41721, 42969, 5335, 25943 ]	Test
28,675	4	Title: Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation Abstract: Symbolic Regression is a powerful data-driven technique that searches for mathematical expressions that explain the relationship between input variables and a target of interest. Due to its efficiency and flexibil...	[]	Test
28,676	26	Title: Guided Graph Generation: Evaluation of Graph Generators in Terms of Network Statistics, and a New Algorithm Abstract: We consider the problem of graph generation guided by network statistics, i.e., the generation of graphs which have given values of various numerical measures that characterize networks, such as ...	[]	Validation
28,677	27	Title: Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine Abstract: Autonomous racing is a challenging problem, as the vehicle needs to operate at the friction or handling limits in order to achieve minimum lap times. Autonomous race cars require highly accu...	[ 7473 ]	Train

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