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
17,578	13	Title: TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents Abstract: Autonomous mobile agents require low-power/energy-efficient machine learning (ML) algorithms to complete their ML-based tasks while adapting to diverse environments, as mobile agents a...	[ 38388, 16110 ]	Train
17,579	30	Title: MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning Abstract: Prompt-based learning reformulates downstream tasks as cloze problems by combining the original input with a template. This technique is particularly useful in few-shot learning, where a model is trained on a limited amount of dat...	[]	Train
17,580	30	Title: Cone: Unsupervised Contrastive Opinion Extraction Abstract: Contrastive opinion extraction aims to extract a structured summary or key points organised as positive and negative viewpoints towards a common aspect or topic. Most recent works for unsupervised key point extraction is largely built on sentence cluste...	[]	Test
17,581	16	Title: IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing Abstract: Image anomaly detection (IAD) is an emerging and vital computer vision task in industrial manufacturing (IM). Recently many advanced algorithms have been published, but their performance deviates greatly. We realize that the lack of ...	[ 30754, 34077, 25701, 11430, 33677, 25910, 27414, 26264, 16378, 34749 ]	Train
17,582	27	Title: Long-Term Autonomous Ocean Monitoring with Streaming Samples Abstract: In the autonomous ocean monitoring task, the sampling robot moves in the environment and accumulates data continuously. The widely adopted spatial modeling method — standard Gaussian process (GP) regression — becomes inadequate in processing ...	[]	Test
17,583	16	Title: ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding Abstract: Recent advancements in multimodal pre-training methods have shown promising efficacy in 3D representation learning by aligning multimodal features across 3D shapes, their 2D counterparts, and language descriptions. However, the metho...	[ 10624, 38912, 33220, 19013, 40830, 26804, 17109, 15541, 32148, 12190 ]	Test
17,584	28	Title: Device Activity Detection in mMTC with Low-Resolution ADC: A New Protocol Abstract: This paper investigates the effect of low-resolution analog-to-digital converters (ADCs) on device activity detection in massive machine-type communications (mMTC). The low-resolution ADCs induce two challenges on the device acti...	[]	Test
17,585	28	Title: On the capacity of TDMA downlink with a reconfigurable intelligent surface Abstract: We provide accurate approximations of the sum-rate capacity of a time-division multiple access (TDMA) down-link, when a reconfigurable intelligent surface (RIS) assists the transmission from a single-antenna base station (BS) to...	[]	Train
17,586	4	Title: LISA: LIghtweight single-server Secure Aggregation with a public source of randomness Abstract: Secure Aggregation (SA) is a key component of privacy-friendly federated learning applications, where the server learns the sum of many user-supplied gradients, while individual gradients are kept private. State-of-th...	[ 4097, 12473 ]	Train
17,587	27	Title: Quantifying VIO Uncertainty Abstract: We compute the uncertainty of XIVO, a monocular visual-inertial odometry system based on the Extended Kalman Filter, in the presence of Gaussian noise, drift, and attribution errors in the feature tracks in addition to Gaussian noise and drift in the IMU. Uncertainty is comp...	[ 5590 ]	Validation
17,588	16	Title: MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering Abstract: Recently, finetuning pretrained vision-language models (VLMs) has been a prevailing paradigm for achieving state-of-the-art performance in VQA. However, as VLMs scale, it becomes computationally expensive, st...	[ 33847 ]	Train
17,589	24	Title: Learning to Sample Tasks for Meta Learning Abstract: Through experiments on various meta-learning methods, task samplers, and few-shot learning tasks, this paper arrives at three conclusions. Firstly, there are no universal task sampling strategies to guarantee the performance of meta-learning models. Secondly, ...	[]	Train
17,590	16	Title: Prototype Adaption and Projection for Few- and Zero-Shot 3D Point Cloud Semantic Segmentation Abstract: In this work, we address the challenging task of few-shot and zero-shot 3D point cloud semantic segmentation. The success of few-shot semantic segmentation in 2D computer vision is mainly driven by the pre-tra...	[ 38753, 34982, 29733, 41109 ]	Train
17,591	24	Title: ChatGPT is all you need to decolonize sub-Saharan Vocational Education Abstract: The advances of Generative AI models with interactive capabilities over the past few years offer unique opportunities for socioeconomic mobility. Their potential for scalability, accessibility, affordability, personalizing and conve...	[]	Test
17,592	30	Title: GeneMask: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning Abstract: Large-scale language models such as DNABert and LOGO aim to learn optimal gene representations and are trained on the entire Human Reference Genome. However, standard tokenization schemes involve a simple sliding window of tokens ...	[]	Train
17,593	6	Title: Comparing Spatial Navigation and Human Environment Interaction in Virtual Reality vs. Identical Real Environments across the Adult Lifespan Abstract: Virtual reality (VR) is increasingly being used as a research platform for investigating human responses to environmental variables. While VR provides tremendous a...	[]	Validation
17,594	24	Title: Exploring Local Norms in Exp-concave Statistical Learning Abstract: We consider the problem of stochastic convex optimization with exp-concave losses using Empirical Risk Minimization in a convex class. Answering a question raised in several prior works, we provide a $O( d / n + \log( 1 / \delta) / n )$ excess r...	[ 35557 ]	Train
17,595	30	Title: ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Task Abstract: Transformer-based language models, including ChatGPT, have demonstrated exceptional performance in various natural language generation tasks. However, there has been limited research evaluating ChatGPT's keyphrase gen...	[ 3713, 33602, 17502, 15559 ]	Validation
17,596	24	Title: Over-training with Mixup May Hurt Generalization Abstract: Mixup, which creates synthetic training instances by linearly interpolating random sample pairs, is a simple and yet effective regularization technique to boost the performance of deep models trained with SGD. In this work, we report a previously unobser...	[ 38309, 16040, 3147, 15696, 33533 ]	Train
17,597	3	Title: Improving International Climate Policy via Mutually Conditional Binding Commitments Abstract: The Paris Agreement, considered a significant milestone in climate negotiations, has faced challenges in effectively addressing climate change due to the unconditional nature of most Nationally Determined Contributions ...	[]	Train
17,598	24	Title: WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings Abstract: Machine learning models often learn latent embedding representations that capture the domain semantics of their training data. These embedding representations are valuable for interpreting trained models, buildin...	[ 15434, 28575 ]	Test
17,599	16	Title: TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual Impairments Abstract: Computer vision was long a tool used for aiding visually impaired people to move around their environment and avoid obstacles and falls. Solutions are limited to either indoor or outdoor scenes, which lim...	[ 25166 ]	Validation
17,600	8	Title: On the Analysis of Computational Delays in Reinforcement Learning-based Rate Adaptation Algorithms Abstract: Several research works have applied Reinforcement Learning (RL) algorithms to solve the Rate Adaptation (RA) problem in Wi-Fi networks. The dynamic nature of the radio link requires the algorithms to be r...	[]	Test
17,601	16	Title: Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Abstract: Viewpoint invariance remains challenging for visual recognition in the 3D world, as altering the viewing directions can significantly impact predictions for the same object. While substantial efforts have been dedicated to m...	[ 10624, 38027, 42052, 41680 ]	Train
17,602	10	Title: Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education Abstract: The advancement of biomedical research heavily relies on access to large amounts of medical data. In the case of histopathology, Whole Slide Images (WSI) and clinicopathologi...	[ 16228 ]	Validation
17,603	4	Title: PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information Abstract: Edge-cloud collaborative inference empowers resource-limited IoT devices to support deep learning applications without disclosing their raw data to the cloud server, thus preserving privacy. Nevertheles...	[ 2974 ]	Validation
17,604	27	Title: Simulation of robot swarms for learning communication-aware coordination Abstract: Robotics research has been focusing on cooperative multi-agent problems, where agents must work together and communicate to achieve a shared objective. To tackle this challenge, we explore imitation learning algorithms. These meth...	[]	Validation
17,605	16	Title: C-RITNet: Set Infrared and Visible Image Fusion Free from Complementary Information Mining Abstract: Infrared and visible image fusion (IVIF) aims to extract and integrate the complementary information in two different modalities to generate high-quality fused images with salient targets and abundant texture det...	[ 22879 ]	Train
17,606	30	Title: How is ChatGPT's behavior changing over time? Abstract: GPT-3.5 and GPT-4 are the two most widely used large language model (LLM) services. However, when and how these models are updated over time is opaque. Here, we evaluate the March 2023 and June 2023 versions of GPT-3.5 and GPT-4 on several diverse tasks: 1)...	[ 28807, 45192, 20502, 20506, 1050, 35101, 34208, 28580, 31653, 18984, 13225, 39466, 4011, 27439, 7985, 20531, 24760, 21048, 23359, 15301, 28362, 846, 34263, 25304, 22371, 17510, 4071, 33256, 42218, 17263, 18547, 25075, 15993, 35580, 5503 ]	Test
17,607	2	Title: Even shorter proofs without new variables Abstract: Proof formats for SAT solvers have diversified over the last decade, enabling new features such as extended resolution-like capabilities, very general extension-free rules, inclusion of proof hints, and pseudo-boolean reasoning. Interference-based methods have ...	[]	Train
17,608	13	Title: Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks Abstract: nan	[ 27662, 18231 ]	Test
17,609	24	Title: Cancellation-Free Regret Bounds for Lagrangian Approaches in Constrained Markov Decision Processes Abstract: Constrained Markov Decision Processes (CMDPs) are one of the common ways to model safe reinforcement learning problems, where constraint functions model the safety objectives. Lagrangian-based dual or pri...	[ 6674 ]	Test
17,610	3	Title: An Open Community-Driven Model For Sustainable Research Software: Sustainable Research Software Institute Abstract: Research software plays a crucial role in advancing scientific knowledge, but ensuring its sustainability, maintainability, and long-term viability is an ongoing challenge. To address these concern...	[]	Test
17,611	16	Title: IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events Abstract: Video frame interpolation aims to generate high-quality intermediate frames from boundary frames and increase frame rate. While existing linear, symmetric and nonlinear models are used to bridge the gap fr...	[ 15329 ]	Test
17,612	16	Title: VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion Abstract: Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This appealing ability is vital for recognition and understanding. To enable such capability in AI systems, we propose VoxFormer, a Transf...	[ 10240, 1155, 740, 8579, 28389, 42982, 42472, 26151, 8906, 16044, 40575, 5393, 22585, 21687, 10265, 39131, 18974, 17887 ]	Train
17,613	16	Title: Direction-aware Video Demoireing with Temporal-guided Bilateral Learning Abstract: Moire patterns occur when capturing images or videos on screens, severely degrading the quality of the captured images or videos. Despite the recent progresses, existing video demoireing methods neglect the physical characteristic...	[ 5661 ]	Train
17,614	24	Title: Machine learning and Topological data analysis identify unique features of human papillae in 3D scans Abstract: The tongue surface houses a range of papillae that are integral to the mechanics and chemistry of taste and textural sensation. Although gustatory function of papillae is well investigated, the uniquen...	[]	Test
17,615	16	Title: Progressive Neural Representation for Sequential Video Compilation Abstract: Neural Implicit Representations (NIR) have gained significant attention recently due to their ability to represent complex and high-dimensional data. Unlike explicit representations, which require storing and manipulating individual dat...	[]	Train
17,616	31	Title: Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction Abstract: Click-Through Rate (CTR) prediction, crucial in applications like recommender systems and online advertising, involves ranking items based on the likelihood of user clicks. User behavior sequence modeling has marked progress in CTR ...	[]	Validation
17,617	30	Title: On-the-fly Text Retrieval for End-to-End ASR Adaptation Abstract: End-to-end speech recognition models are improved by incorporating external text sources, typically by fusion with an external language model. Such language models have to be retrained whenever the corpus of interest changes. Furthermore, since th...	[]	Train
17,618	24	Title: Generating Adversarial Attacks in the Latent Space Abstract: Adversarial attacks in the input (pixel) space typically incorporate noise margins such as L1 or L∞-norm to produce imperceptibly perturbed data that can confound deep learning networks. Such noise margins confine the magnitude of permissible noise. In...	[ 33904 ]	Validation
17,619	7	Title: Physics-informed neural network for friction-involved nonsmooth dynamics problems Abstract: Friction-induced vibration (FIV) is very common in engineering areas. Analysing the dynamic behaviour of systems containing a multiple-contact point frictional interface is an important topic. However, accurately simulati...	[ 42722 ]	Train
17,620	16	Title: CNN-based Dendrite Core Detection from Microscopic Images of Directionally Solidified Ni-base Alloys Abstract: Dendrite core is the center point of the dendrite. The information of dendrite core is very helpful for material scientists to analyze the properties of materials. Therefore, detecting the dendrite core...	[]	Train
17,621	30	Title: Word Sense Induction with Knowledge Distillation from BERT Abstract: Pre-trained contextual language models are ubiquitously employed for language understanding tasks, but are unsuitable for resource-constrained systems. Noncontextual word embeddings are an efficient alternative in these settings. Such methods t...	[]	Train
17,622	16	Title: Reconstructing Groups of People with Hypergraph Relational Reasoning Abstract: Due to the mutual occlusion, severe scale variation, and complex spatial distribution, the current multi-person mesh recovery methods cannot produce accurate absolute body poses and shapes in large-scale crowded scenes. To address the...	[ 9794, 5011, 20677 ]	Train
17,623	13	Title: Temporal Weights Abstract: In artificial neural networks, weights are a static representation of synapses. However, synapses are not static, they have their own interacting dynamics over time. To instill weights with interacting dynamics, we use a model describing synchronization that is capable of capturing cor...	[]	Train
17,624	24	Title: Distributionally Robust Optimization with Probabilistic Group Abstract: Modern machine learning models may be susceptible to learning spurious correlations that hold on average but not for the atypical group of samples. To address the problem, previous approaches minimize the empirical worst-group risk. Despite ...	[ 7192 ]	Validation
17,625	36	Title: Socially Aware Coalition Formation with Bounded Coalition Size Abstract: In many situations when people are assigned to coalitions the assignment must be social aware, i.e, the utility of each person depends on the friends in her coalition. Additionally, in many situations the size of each coalition should be bo...	[]	Test
17,626	9	Title: On Approximability of Steiner Tree in $\ell_p$-metrics Abstract: In the Continuous Steiner Tree problem (CST), we are given as input a set of points (called terminals) in a metric space and ask for the minimum-cost tree connecting them. Additional points (called Steiner points) from the metric space can be intro...	[]	Train
17,627	24	Title: On the stepwise nature of self-supervised learning Abstract: We present a simple picture of the training process of joint embedding self-supervised learning methods. We find that these methods learn their high-dimensional embeddings one dimension at a time in a sequence of discrete, well-separated steps. We arri...	[ 39658, 16843 ]	Test
17,628	37	Title: The SeaLiT Ontology – An Extension of CIDOC-CRM for the Modeling and Integration of Maritime History Information Abstract: We describe the construction and use of the SeaLiT Ontology, an extension of the ISO standard CIDOC-CRM for the modelling and integration of maritime history information. The ontology has be...	[ 29403 ]	Train
17,629	15	Title: Unsupervised Recycled FPGA Detection Using Symmetry Analysis Abstract: Recently, recycled field-programmable gate arrays (FPGAs) pose a significant hardware security problem due to the proliferation of the semiconductor supply chain. Ring oscillator (RO) based frequency analyzing technique is one of the popular ...	[]	Validation
17,630	16	Title: Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels Abstract: In this paper, we investigate the task of zero-shot human-object interaction (HOI) detection, a novel paradigm for identifying HOIs without the need for task-specific annotations. To address this challenging ...	[ 35, 27555, 5422, 25199 ]	Train
17,631	24	Title: Behavior Proximal Policy Optimization Abstract: Offline reinforcement learning (RL) is a challenging setting where existing off-policy actor-critic methods perform poorly due to the overestimation of out-of-distribution state-action pairs. Thus, various additional augmentations are proposed to keep the learned p...	[ 44513, 17122, 4002, 31107, 21586, 4915, 12790, 23807 ]	Train
17,632	16	Title: PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning Abstract: Online class-incremental continual learning is a specific task of continual learning. It aims to continuously learn new classes from data stream and the samples of data stream are seen only once, which suffers from the ...	[ 3426, 7175, 23466, 3920, 29236, 2041 ]	Test
17,633	16	Title: Segment Everything Everywhere All at Once Abstract: In this work, we present SEEM, a promptable and interactive model for segmenting everything everywhere all at once in an image, as shown in Fig.1. In SEEM, we propose a novel decoding mechanism that enables diverse prompting for all types of segmentation tasks,...	[ 37254, 25222, 27144, 27145, 34314, 3595, 40074, 37133, 16400, 23570, 8084, 40728, 3609, 34074, 3743, 22432, 19234, 44707, 15270, 2984, 2985, 14120, 8243, 23092, 44854, 18360, 35641, 41146, 8123, 29112, 36030, 34943, 18112, 35263, 1860, 13510, 6...	Test
17,634	16	Title: Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification Abstract: nan	[]	Train
17,635	30	Title: On Evaluation of Bangla Word Analogies Abstract: This paper presents a high-quality dataset for evaluating the quality of Bangla word embeddings, which is a fundamental task in the field of Natural Language Processing (NLP). Despite being the 7th most-spoken language in the world, Bangla is a low-resource langua...	[]	Validation
17,636	24	Title: Jammer classification with Federated Learning Abstract: Jamming signals can jeopardize the operation of GNSS receivers until deying its operation. Given their ubiquity, jamming mitigation and localization techniques are of crucial importance, for which jammer classification is of help. Data-driven models have be...	[ 26755 ]	Train
17,637	16	Title: SACANet: scene-aware class attention network for semantic segmentation of remote sensing images Abstract: Spatial attention mechanism has been widely used in semantic segmentation of remote sensing images given its capability to model long-range dependencies. Many methods adopting spatial attention mechanism agg...	[]	Test
17,638	30	Title: SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space Abstract: While many natural language inference (NLI) datasets target certain semantic phenomena, e.g., negation, tense&aspect, monotonicity, and presupposition, to the best of our knowledge, there is no NLI dataset that involves diverse type...	[]	Train
17,639	30	Title: Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models Abstract: A medical provider’s summary of a patient visit serves several critical purposes, including clinical decision-making, facilitating hand-offs between providers, and as a reference for...	[]	Validation
17,640	16	Title: Hierarchical Masked 3D Diffusion Model for Video Outpainting Abstract: Video outpainting aims to adequately complete missing areas at the edges of video frames. Compared to image outpainting, it presents an additional challenge as the model should maintain the temporal consistency of the filled area. In this pap...	[ 12841, 23563, 3979, 5558, 38207 ]	Train
17,641	30	Title: Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation Abstract: For end-to-end speech translation, regularizing the encoder with the Connectionist Temporal Classification (CTC) objective using the source transcript or target translation as labels can greatly improve quality. However, C...	[]	Train
17,642	30	Title: Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination Abstract: In this work, we investigate a more realistic unsupervised multimodal machine translation (UMMT) setup, inference-time image-free UMMT, where the model is trained with source-t...	[ 16130, 40258, 33932, 5107, 35220, 34358, 8895 ]	Train
17,643	5	Title: Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services Abstract: Vitamin-V is a 2023-2025 Horizon Europe project that aims to develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpar...	[]	Validation
17,644	27	Title: Evolving Multi-Objective Neural Network Controllers for Robot Swarms Abstract: Many swarm robotics tasks consist of multiple conflicting objectives. This research proposes a multi-objective evolutionary neural network approach to developing controllers for swarms of robots. The swarm robot controllers are traine...	[]	Test
17,645	16	Title: Meta-Auxiliary Learning for Adaptive Human Pose Prediction Abstract: Predicting high-fidelity future human poses, from a historically observed sequence, is crucial for intelligent robots to interact with humans. Deep end-to-end learning approaches, which typically train a generic pre-trained model on external da...	[]	Train
17,646	16	Title: Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation Abstract: Diffusion models have attained impressive visual quality for image synthesis. However, how to interpret and manipulate the latent space of diffusion models has not been extensively explored. Prior work diffusion autoencoders encode...	[ 38386 ]	Train
17,647	16	Title: StyleDrop: Text-to-Image Generation in Any Style Abstract: Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts. However, ambiguities inherent in natural language and out-of-distribution effects make it hard to synthesize image styles, that leverage a specif...	[ 37152, 7458, 20514, 15983, 36084, 28532, 10070, 42104, 42969, 30522, 24763, 29087 ]	Train
17,648	4	Title: Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting Abstract: Blockchain smart contracts have given rise to a variety of interesting and compelling applications and emerged as a revolutionary force for the Internet. Smart contracts from various fields now hold over...	[ 43195, 45566 ]	Test
17,649	4	Title: A survey of Digital Manufacturing Hardware and Software Trojans Abstract: Digital Manufacturing (DM) refers to the on-going adoption of smarter, more agile manufacturing processes and cyber-physical systems. This includes modern techniques and technologies such as Additive Manufacturing (AM)/3D printing, as well...	[]	Train
17,650	3	Title: What Should Data Science Education Do with Large Language Models? Abstract: The rapid advances of large language models (LLMs), such as ChatGPT, are revolutionizing data science and statistics. These state-of-the-art tools can streamline complex processes. As a result, it reshapes the role of data scientists. We...	[ 13700, 33220, 13510, 4071, 20070, 14569, 9403, 45104, 28374, 32921, 315 ]	Validation
17,651	24	Title: Variational Imbalanced Regression Abstract: Existing regression models tend to fall short in both accuracy and uncertainty estimation when the label distribution is imbalanced. In this paper, we propose a probabilistic deep learning model, dubbed variational imbalanced regression (VIR), which not only performs w...	[]	Train
17,652	23	Title: Intergenerational Test Generation for Natural Language Processing Applications Abstract: The development of modern NLP applications often relies on various benchmark datasets containing plenty of manually labeled tests to evaluate performance. While constructing datasets often costs many resources, the performan...	[]	Validation
17,653	28	Title: A Graph-Based Collision Resolution Scheme for Asynchronous Unsourced Random Access Abstract: This paper investigates the multiple-input-multiple-output (MIMO) massive unsourced random access in an asynchronous orthogonal frequency division multiplexing (OFDM) system, with both timing and frequency offsets (TFO) ...	[]	Train
17,654	4	Title: CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation Abstract: The use of Mutual Information (MI) as a measure to evaluate the efficiency of cryptosystems has an extensive history. However, estimating MI between unknown random variables in a high-dimensional space is challenging. Recent advances i...	[ 22554 ]	Train
17,655	16	Title: GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition Abstract: Gait recognition aims to distinguish different walking patterns by analyzing video-level human silhouettes, rather than relying on appearance information. Previous research on gait recognition has primarily focused on extracting local or...	[ 33208, 14596 ]	Train
17,656	30	Title: Detecting Contextomized Quotes in News Headlines by Contrastive Learning Abstract: Quotes are critical for establishing credibility in news articles. A direct quote enclosed in quotation marks has a strong visual appeal and is a sign of a reliable citation. Unfortunately, this journalistic practice is not strict...	[]	Validation
17,657	27	Title: Unlocking the Performance of Proximity Sensors by Utilizing Transient Histograms Abstract: We provide methods which recover planar scene geometry by utilizing the transient histograms captured by a class of close-range time-of-flight (ToF) distance sensor. A transient histogram is a one dimensional temporal wave...	[]	Test
17,658	24	Title: SafeDiffuser: Safe Planning with Diffusion Probabilistic Models Abstract: Diffusion model-based approaches have shown promise in data-driven planning, but there are no safety guarantees, thus making it hard to be applied for safety-critical applications. To address these challenges, we propose a new method, call...	[ 4481 ]	Train
17,659	1	Title: Understanding Social Media Cross-Modality Discourse in Linguistic Space Abstract: The multimedia communications with texts and images are popular on social media. However, limited studies concern how images are structured with texts to form coherent meanings in human cognition. To fill in the gap, we present a n...	[ 15955 ]	Train
17,660	11	Title: Towards Efficient Multi-Agent Learning Systems Abstract: Multi-Agent Reinforcement Learning (MARL) is an increasingly important research field that can model and control multiple large-scale autonomous systems. Despite its achievements, existing multi-agent learning methods typically involve expensive computatio...	[ 4720, 13714 ]	Test
17,661	24	Title: Fairness Improves Learning from Noisily Labeled Long-Tailed Data Abstract: Both long-tailed and noisily labeled data frequently appear in real-world applications and impose significant challenges for learning. Most prior works treat either problem in an isolated way and do not explicitly consider the coupling ef...	[ 4988 ]	Validation
17,662	4	Title: Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning Abstract: Homomorphic encryption (HE) has found extensive utilization in federated learning (FL) systems, capitalizing on its dual advantages: (i) ensuring the confidentiality of shared models contributed by particip...	[]	Validation
17,663	30	Title: Measuring Consistency in Text-based Financial Forecasting Models Abstract: Financial forecasting has been an important and active area of machine learning research, as even the most modest advantages in predictive accuracy can be parlayed into significant financial gains. Recent advances in natural language proc...	[]	Validation
17,664	4	Title: Designing a Visual Cryptography Curriculum for K-12 Education Abstract: We have designed and developed a simple, visual, and narrative K-12 cybersecurity curriculum leveraging the Scratch programming platform to demonstrate and teach fundamental cybersecurity concepts such as confidentiality, integrity protectio...	[ 22071 ]	Validation
17,665	16	Title: Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective Abstract: Vision transformer (ViT) is an attention neural network architecture that is shown to be effective for computer vision tasks. However, compared to ResNet-18 with a similar number of parameters, ViT has a significantly lower ...	[]	Validation
17,666	16	Title: Rendering the Directional TSDF for Tracking and Multi-Sensor Registration with Point-To-Plane Scale ICP Abstract: nan	[]	Train
17,667	24	Title: Bounding the Optimal Value Function in Compositional Reinforcement Learning Abstract: In the field of reinforcement learning (RL), agents are often tasked with solving a variety of problems differing only in their reward functions. In order to quickly obtain solutions to unseen problems with new reward functions...	[ 32435 ]	Train
17,668	30	Title: ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models Abstract: Large Language Models (LLMs) have made remarkable advancements in the field of artificial intelligence, significantly reshaping the human-computer interaction. We not only focus on the performance of LLMs, but also...	[ 17920, 4995, 31238, 5643, 38157, 45847, 4892, 13345, 43566, 40504, 38849, 25924, 33220, 13510, 40006, 846, 729, 42731, 7421 ]	Train
17,669	28	Title: Conditional Rate-Distortion-Perception Trade-Off Abstract: Recent advances in machine learning-aided lossy compression are incorporating perceptual fidelity into the rate-distortion theory. In this paper, we study the rate-distortion-perception trade-off when the perceptual quality is measured by the total varia...	[ 7717, 33254 ]	Train
17,670	16	Title: Content-Adaptive Downsampling in Convolutional Neural Networks Abstract: Many convolutional neural networks (CNNs) rely on progressive downsampling of their feature maps to increase the network’s receptive field and decrease computational cost. However, this comes at the price of losing granularity in the featur...	[]	Train
17,671	4	Title: SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark Abstract: Membership inference (MI) attacks threaten user privacy through determining if a given data example has been used to train a target model. However, it has been increasingly recognized that the"comparing different MI at...	[]	Train
17,672	24	Title: Unlocking Carbon Reduction Potential with Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem Abstract: Heavy goods vehicles are vital backbones of the supply chain delivery system but also contribute significantly to carbon emissions with only 60% loading efficiency in t...	[]	Test
17,673	16	Title: KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Abstract: Achieving a reliable LiDAR-based object detector in autonomous driving is paramount, but its success hinges on obtaining large amounts of precise 3D annotations. Active learning (AL) seeks to mitigate the annotation burden through al...	[ 28093 ]	Test
17,674	5	Title: ChainScience 2023, Conference Proceedings Abstract: The proceedings of ChainScience 2023 epitomize the integration of various scientific disciplines with the dynamic world of blockchain and AI. This collection, encapsulating both full and short papers, as well as posters, delves into areas such as cryptoeconomic...	[]	Train
17,675	30	Title: A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing Abstract: Recent years have witnessed the impressive progress in Neural Dependency Parsing. According to the different factorization approaches to the graph joint probabilities, existing parsers can be roughly divided into autoregressive a...	[]	Train
17,676	8	Title: Improving UE Energy Efficiency through Network-aware Video Streaming over 5G Abstract: Adaptive Bitrate (ABR) Streaming over the cellular networks has been well studied in the literature; however, existing ABR algorithms primarily focus on improving the end-users' Quality of Experience (QoE) while ignoring the r...	[ 39929 ]	Train
17,677	16	Title: Model and Data Engineering: 11th International Conference, MEDI 2022, Cairo, Egypt, November 21–24, 2022, Proceedings Abstract: nan	[]	Train

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