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
30,878	30	Title: STEPS: A Benchmark for Order Reasoning in Sequential Tasks Abstract: Various human activities can be abstracted into a sequence of actions in natural text, i.e. cooking, repairing, manufacturing, etc. Such action sequences heavily depend on the executing order, while disorder in action sequences leads to failure...	[]	Train
30,879	25	Title: An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection Abstract: Partially spoofed audio detection is a challenging task, lying in the need to accurately locate the authenticity of audio at the frame level. To address this issue, we propose a fine-grained partial...	[ 21778 ]	Train
30,880	6	Title: How to Communicate Robot Motion Intent: A Scoping Review Abstract: Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying out autonomous tasks. In Human-Robot Interaction, human actors benefit from understanding the robot’s motion intent to avoid task failures and foster coll...	[ 43367, 2119, 11308, 7696, 9598 ]	Train
30,881	16	Title: 1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation Abstract: In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution. In our solution, we regard the video panoptic segmentation task as a segmentation targe...	[ 39737, 22562, 34955, 9622 ]	Train
30,882	10	Title: Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Abstract: Entity alignment (EA) aims at identifying equivalent entity pairs across different knowledge graphs (KGs) that refer to the same real-world identity. To systematically combat confirmation bias for pseudo-labeling-base...	[ 7451 ]	Train
30,883	24	Title: Transaction Fraud Detection via an Adaptive Graph Neural Network Abstract: Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks. However, most existing methods leverage original features only or req...	[]	Validation
30,884	24	Title: Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Abstract: Fine-tuning and Domain Adaptation emerged as effective strategies for efficiently transferring deep learning models to new target tasks. However, target domain labels are not accessible in many real-world scenarios. Th...	[ 43608 ]	Train
30,885	2	Title: Structure-Aware Lower Bounds and Broadening the Horizon of Tractability for QBF Abstract: The QSAT problem, which asks to evaluate a quantified Boolean formula (QBF), is of fundamental interest in approximation, counting, decision, and probabilistic complexity and is also considered the prototypical PSPACE-compl...	[]	Test
30,886	23	Title: Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations Abstract: The existence of trace links between artifacts of the software development life cycle can improve the efficiency of many activities during software development, maintenance and operations. Unfortunately, the creation ...	[]	Train
30,887	16	Title: Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Abstract: The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn novel tasks with limited labeled samples and preserve previous capabilities simultaneously, while current FSCL methods are all for the class-incremental ...	[]	Test
30,888	30	Title: Metaphor Detection with Effective Context Denoising Abstract: We propose a novel RoBERTa-based model, RoPPT, which introduces a target-oriented parse tree structure in metaphor detection. Compared to existing models, RoPPT focuses on semantically relevant information and achieves the state-of-the-art on several ...	[ 10801, 45595, 13790 ]	Train
30,889	23	Title: SoK: Machine Learning for Continuous Integration Abstract: Continuous Integration (CI) has become a well- established software development practice for automatically and continuously integrating code changes during software development. An increasing number of Machine Learning (ML) based approaches for automatio...	[]	Train
30,890	16	Title: INVE: Interactive Neural Video Editing Abstract: We present Interactive Neural Video Editing (INVE), a real-time video editing solution, which can assist the video editing process by consistently propagating sparse frame edits to the entire video clip. Our method is inspired by the recent work on Layered Neural ...	[ 10216 ]	Test
30,891	6	Title: Augmented Reality for Maintenance Tasks with ChatGPT for Automated Text-to-Action Abstract: Advancements in sensor technology, artificial intelligence (AI), and augmented reality (AR) have unlocked opportunities across various domains. AR and large language models like GPT have witnessed substantial progress and...	[ 13510, 2343, 30029, 36751, 12305, 31922, 31189, 4892, 35388 ]	Test
30,892	17	Title: Analysis and Synthesis of Digital Dyadic Sequences Abstract: We explore the space of matrix-generated (0, m, 2)-nets and (0, 2)-sequences in base 2, also known as digital dyadic nets and sequences. We provide a complete characterization of the design space and count the possible number of constructions with and ...	[]	Validation
30,893	16	Title: Fusion of Infrared and Visible Images based on Spatial-Channel Attentional Mechanism Abstract: In the study, we present AMFusionNet, an innovative approach to infrared and visible image fusion (IVIF), harnessing the power of multiple kernel sizes and attention mechanisms. By assimilating thermal details from inf...	[ 32314 ]	Validation
30,894	24	Title: Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection Abstract: Semi-supervised anomaly detection~(SSAD) is a task where normal data and a limited number of anomalous data are available for training. In practical situations, SSAD methods suffer adapting to domain shifts, since an...	[]	Validation
30,895	30	Title: CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation Abstract: Commonsense knowledge is crucial to many natural language processing tasks. Existing works usually incorporate graph knowledge with conventional graph neural networks (GNNs), leading to the text and graph know...	[ 45211, 38932 ]	Train
30,896	17	Title: Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical Conditions Abstract: We present a novel generative model, called Bidirectional GaitNet, that learns the relationship between human anatomy and its gait. The simulation model of human anatomy is a comprehensive, full-body, simula...	[]	Train
30,897	6	Title: Patterns in Deep Time Abstract: In this paper, we explore how textile pattern-making can be a useful activity for live coders used to manipulating software. We ran an algorithmic patterns workshop in July 2022 -- with a node at"on the fly"festival in Barcelona, a node in Sheffield and the workshop leader in Penr...	[]	Train
30,898	16	Title: Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos Abstract: This work focuses on the 3D reconstruction of non-rigid objects based on monocular RGB video sequences. Concretely, we aim at building high-fidelity models for generic object categories and casually captured scene...	[]	Train
30,899	6	Title: Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech Recognition Abstract: Language technologies have a racial bias, committing greater errors for Black users than for white users. However, little work has evaluated what effect these disparate error rates ha...	[ 16366 ]	Train
30,900	10	Title: UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding Abstract: In the era of Large Language Models (LLMs), tremendous strides have been made in the field of multimodal understanding. However, existing advanced algorithms are limited to effectively ut...	[ 10624, 40801, 10978, 13700, 12709, 13935, 41104, 43641, 9403 ]	Train
30,901	24	Title: An Automata-Theoretic Approach to Synthesizing Binarized Neural Networks Abstract: Deep neural networks, (DNNs, a.k.a. NNs), have been widely used in various tasks and have been proven to be successful. However, the accompanied expensive computing and storage costs make the deployments in resource-constrained de...	[ 27651 ]	Validation
30,902	30	Title: Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis Abstract: Objectives The COVID-19 pandemic has introduced new opportunities for health communication, including an increase in the public’s use of online outlets for health-related emotions. Peo...	[]	Validation
30,903	24	Title: Comparative Study of MPPT and Parameter Estimation of PV cells Abstract: The presented work focuses on utilising machine learning techniques to accurately estimate accurate values for known and unknown parameters of the PVLIB model for solar cells and photovoltaic modules.Finding accurate model parameters of cir...	[]	Train
30,904	34	Title: On the Generalized Mean Densest Subgraph Problem: Complexity and Algorithms Abstract: Dense subgraph discovery is an important problem in graph mining and network analysis with several applications. Two canonical problems here are to find a maxcore (subgraph of maximum min degree) and to find a densest subgraph ...	[]	Validation
30,905	28	Title: Integrated Communication and Receiver Sensing with Security Constraints on Message and State Abstract: We study the state-dependent wiretap channel with non-causal channel state informations at the encoder in an integrated sensing and communications (ISAC) scenario. In this scenario, the transmitter communicates...	[ 2161, 24551 ]	Test
30,906	23	Title: Software Engineering Knowledge Areas in Startup Companies: A Mapping Study Abstract: nan	[ 36975, 10714, 42363, 46127 ]	Validation
30,907	39	Title: On the Identity and Group Problems for Complex Heisenberg Matrices Abstract: We study the Identity Problem, the problem of determining if a finitely generated semigroup of matrices contains the identity matrix; see Problem 3 (Chapter 10.3) in ``Unsolved Problems in Mathematical Systems and Control Theory'' by Bl...	[]	Train
30,908	16	Title: RefineVIS: Video Instance Segmentation with Temporal Attention Refinement Abstract: We introduce a novel framework called RefineVIS for Video Instance Segmentation (VIS) that achieves good object association between frames and accurate segmentation masks by iteratively refining the representations using sequence...	[ 18965, 5143 ]	Train
30,909	30	Title: EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance Abstract: In recent years, pretrained models have been widely used in various fields, including natural language understanding, computer vision, and natural language generation. Ho...	[]	Validation
30,910	16	Title: DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability Abstract: Out-of-distribution (OOD) generalization poses a serious challenge for modern deep learning (DL). OOD data consists of test data that is significantly different from the model's training data. DL models that perform well on i...	[]	Train
30,911	18	Title: Graphene and Related Materials for the Internet of Bio-Nano Things Abstract: The Internet of Bio-Nano Things (IoBNT) is a transformative communication framework characterized by heterogeneous networks comprising both biological entities and artificial micro/nano-scale devices, so-called Bio-Nano Things (BNTs), i...	[ 15464, 44035 ]	Train
30,912	16	Title: DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets Abstract: Data imbalance is a well-known issue in the field of machine learning, attributable to the cost of data collection, the difficulty of labeling, and the geographical distribution of the data. In computer vision, bias i...	[]	Validation
30,913	23	Title: Toward Cost-effective Adaptive Random Testing: An Approximate Nearest Neighbor Approach Abstract: Adaptive Random Testing (ART) enhances the testing effectiveness (including fault-detection capability) of Random Testing (RT) by increasing the diversity of the random test cases throughout the input domain. Many A...	[]	Train
30,914	16	Title: UATVR: Uncertainty-Adaptive Text-Video Retrieval Abstract: With the explosive growth of web videos and emerging large-scale vision-language pre-training models, e.g., CLIP, retrieving videos of interest with text instructions has attracted increasing attention. A common practice is to transfer text-video pairs t...	[ 8576, 14435, 29125, 12521, 15467, 880, 15504, 25137, 40528, 21207, 12221 ]	Train
30,915	24	Title: PaVa: a novel Path-based Valley-seeking clustering algorithm Abstract: Clustering methods are being applied to a wider range of scenarios involving more complex datasets, where the shapes of clusters tend to be arbitrary. In this paper, we propose a novel Path-based Valley-seeking clustering algorithm for arbitr...	[]	Train
30,916	24	Title: Holistic Survey of Privacy and Fairness in Machine Learning Abstract: Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and trustworthy Machine Learning (ML). Each objective has been independently studied in the literature with the aim of reducing utility loss in achieving ...	[]	Train
30,917	16	Title: SODFormer: Streaming Object Detection with Transformer Using Events and Frames Abstract: DAVIS camera, streaming two complementary sensing modalities of asynchronous events and frames, has gradually been used to address major object detection challenges (e.g., fast motion blur and low-light). However, how to eff...	[ 18255 ]	Train
30,918	10	Title: Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach Abstract: Despite numerous successes in Deep Reinforcement Learning (DRL), the learned policies are not interpretable. Moreover, since DRL does not exploit symbolic relational representations, it has difficulties in coping with structu...	[ 24545 ]	Test
30,919	24	Title: Modulate Your Spectrum in Self-Supervised Learning Abstract: Whitening loss provides theoretical guarantee in avoiding feature collapse for self-supervised learning (SSL) using joint embedding architectures. One typical implementation of whitening loss is hard whitening that designs whitening transformation over...	[ 4643 ]	Test
30,920	16	Title: GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation Abstract: Recently, graph-based and Transformer-based deep learning networks have demonstrated excellent performances on various point cloud tasks. Most of the existing graph methods are based on static graph, which take...	[ 9538 ]	Validation
30,921	16	Title: Multi-Focus Image Fusion Based on Spatial Frequency(SF) and Consistency Verification(CV) in DCT Domain Abstract: Multi-focus is a technique of focusing on different aspects of a particular object or scene. Wireless Visual Sensor Networks (WVSN) use multi-focus image fusion, which combines two or more images to c...	[]	Train
30,922	16	Title: Adaptive Segmentation Network for Scene Text Detection Abstract: Inspired by deep convolution segmentation algorithms, scene text detectors break the performance ceiling of datasets steadily. However, these methods often encounter threshold selection bottlenecks and have poor performance on text instances with e...	[ 31617, 17839 ]	Train
30,923	28	Title: Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection Abstract: Multiple-input multiple-output (MIMO) is a key ingredient of next-generation wireless communications. Recently, various MIMO signal detectors based on deep learning techniques and quantum(-inspired) algorithms have been proposed to i...	[]	Validation
30,924	18	Title: Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference Abstract: Analog In-Memory Computing (AIMC) is a promising approach to reduce the latency and energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy and non-linear device charact...	[ 25385, 26986, 39897 ]	Train
30,925	8	Title: Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services Abstract: Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the d...	[ 18304, 42112, 39946, 2703, 17300, 33558, 11159, 3735, 3609, 38810, 39324, 26018, 21923, 27435, 39340, 18222, 22206, 24001, 12487, 12232, 24522, 30026, 24780, 32714, 17104, 35924, 31317, 12888, 37211, 8419, 24420, 41699, 1646, 41584, 27511, 33147,...	Validation
30,926	26	Title: Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin Abstract: Digital cryptocurrencies such as Bitcoin have exploded in recent years in both popularity and value. By their novelty, cryptocurrencies tend to be both volatile and highly speculative. The capricious nature of these coins...	[]	Test
30,927	24	Title: Anomaly Detection with Ensemble of Encoder and Decoder Abstract: Hacking and false data injection from adversaries can threaten power grids' everyday operations and cause significant economic loss. Anomaly detection in power grids aims to detect and discriminate anomalies caused by cyber attacks against the powe...	[]	Train
30,928	16	Title: DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis Abstract: Requirements of large amounts of data is a difficulty in training many GANs. Data efficient GANs involve fitting a generators continuous target distribution with a limited discrete set of data samples, which is a difficult task. Single i...	[ 43144, 28642 ]	Train
30,929	24	Title: WAT: Improve the Worst-class Robustness in Adversarial Training Abstract: Deep Neural Networks (DNN) have been shown to be vulnerable to adversarial examples. Adversarial training (AT) is a popular and effective strategy to defend against adversarial attacks. Recent works have shown that a robust model well-trai...	[ 33414, 39774 ]	Validation
30,930	25	Title: Audio Representation Learning by Distilling Video as Privileged Information Abstract: Deep audio representation learning using multi-modal audio-visual data often leads to a better performance compared to uni-modal approaches. However, in real-world scenarios both modalities are not always available at the time ...	[ 9693 ]	Train
30,931	16	Title: Effect of latent space distribution on the segmentation of images with multiple annotations Abstract: We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution that can better approximate the ...	[ 5466 ]	Validation
30,932	16	Title: CCDN: Checkerboard Corner Detection Network for Robust Camera Calibration Abstract: nan	[ 13195 ]	Validation
30,933	6	Title: Effect of Haptic Assistance Strategy on Mental Engagement in Fine Motor Tasks Abstract: This study investigates the effect of haptic control strategies on a subject’s mental engagement during a fine motor handwriting rehabilitation task. The considered control strategies include an error-reduction (ER) and an er...	[]	Test
30,934	15	Title: PyHGL: A Python-based Hardware Generation Language Framework Abstract: Hardware generation languages (HGLs) increase hardware design productivity by creating parameterized modules and test benches. Unfortunately, existing tools are not widely adopted due to several demerits, including limited support for asynchr...	[]	Train
30,935	24	Title: Transferable Deep Metric Learning for Clustering Abstract: Clustering in high dimension spaces is a difficult task; the usual distance metrics may no longer be appropriate under the curse of dimensionality. Indeed, the choice of the metric is crucial, and it is highly dependent on the dataset characteristics. Ho...	[]	Test
30,936	16	Title: A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations Abstract: Recent advancements in Text-to-Image (T2I) generative models have yielded impressive results in generating high-fidelity images based on consistent text prompts. However, there is a growing interest in explo...	[ 41146, 34074, 15983, 27184, 35664, 28532, 20949, 25368, 14842 ]	Validation
30,937	5	Title: A Simple Single Slot Finality Protocol For Ethereum Abstract: Currently, Gasper, the implemented consensus protocol of Ethereum, takes between 64 and 95 slots to finalize blocks. Because of that, a significant portion of the chain is susceptible to reorgs. The possibility to capture MEV (Maximum Extractable Valu...	[ 37065, 16155 ]	Train
30,938	27	Title: Tactile-Filter: Interactive Tactile Perception for Part Mating Abstract: Humans rely on touch and tactile sensing for a lot of dexterous manipulation tasks. Our tactile sensing provides us with a lot of information regarding contact formations as well as geometric information about objects during any interaction...	[ 28082, 31572, 44583 ]	Train
30,939	26	Title: Targeted k-node Collapse Problem: Towards Understanding the Robustness of Local k-core Structure Abstract: The concept of 𝑘 -core, which indicates the largest induced subgraph where each node has 𝑘 or more neighbors, plays a significant role in measuring the cohesiveness and the engagement of a network, and it...	[]	Train
30,940	24	Title: Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs Abstract: Modified policy iteration (MPI) also known as optimistic policy iteration is at the core of many reinforcement learning algorithms. It works by combining elements of policy iteration and value iteration. The convergence of MPI has been ...	[]	Train
30,941	24	Title: Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space Abstract: Machine learning models that are overfitted/overtrained are more vulnerable to knowledge leakage, which poses a risk to privacy. Suppose we download or receive a model from a third-party collaborator without k...	[]	Test
30,942	30	Title: Does Correction Remain A Problem For Large Language Models? Abstract: As large language models, such as GPT, continue to advance the capabilities of natural language processing (NLP), the question arises: does the problem of correction still persist? This paper investigates the role of correction in the context ...	[ 44246, 7695 ]	Validation
30,943	1	Title: INDCOR White Paper 0: Interactive Digital Narratives (IDNs) - A Solution to the Challenge of Representing Complex Issues Abstract: Citizens everywhere have the right to be well-informed. Yet, with the high complexity of many contemporary issues, such as global warming and migration, our means of information need...	[ 20913, 18789, 36318, 33935 ]	Train
30,944	24	Title: XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge Abstract: Streaming Linear Discriminant Analysis (LDA) while proven in Class-incremental Learning deployments at the edge with limited classes (upto 1000), has not been proven for deployment in extreme classif...	[]	Train
30,945	27	Title: Variable Stiffness Improves Safety and Performance in Soft Robotics Abstract: This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft gripper includes a middle bellow and two side bellows (i.e., ...	[ 26821 ]	Train
30,946	27	Title: Towards Generalized Robot Assembly through Compliance-Enabled Contact Formations Abstract: Contact can be conceptualized as a set of constraints imposed on two bodies that are interacting with one another in some way. The nature of a contact, whether a point, line, or surface, dictates how these bodies are able ...	[]	Train
30,947	24	Title: Shadow Cones: Unveiling Partial Orders in Hyperbolic Space Abstract: Hyperbolic space has been shown to produce superior low-dimensional embeddings of hierarchical structures that are unattainable in Euclidean space. Building upon this, the entailment cone formulation of Ganea et al. uses geodesically convex con...	[ 42730 ]	Test
30,948	23	Title: Understanding issues related to personal data and data protection in open source projects on GitHub Abstract: \textbf{Context:} Data protection regulations such as the GDPR and the CCPA affect how software may handle the personal data of its users and how consent for handling of such data may be given. Prior lit...	[]	Train
30,949	8	Title: Communication Load Balancing via Efficient Inverse Reinforcement Learning Abstract: Communication load balancing aims to balance the load between different available resources, and thus improve the quality of service for network systems. After formulating the load balancing (LB) as a Markov decision process prob...	[]	Test
30,950	16	Title: Streaming Video Model Abstract: Video understanding tasks have traditionally been modeled by two separate architectures, specially tailored for two distinct tasks. Sequence-based video tasks, such as action recognition, use a video backbone to directly extract spatiotemporal features, while frame-based video tas...	[ 39323, 26109 ]	Test
30,951	30	Title: Deliberate then Generate: Enhanced Prompting Framework for Text Generation Abstract: Large language models (LLMs) have shown remarkable success across a wide range of natural language generation tasks, where proper prompt designs make great impacts. While existing prompting methods are normally restricted to pro...	[ 13700, 15301, 27340, 19727, 39451, 3609, 634, 9595 ]	Train
30,952	26	Title: Comparing biased random walks in graph embedding and link prediction Abstract: Random walks find extensive application across various complex network domains, including embedding generation and link prediction. Despite the widespread utilization of random walks, the precise impact of distinct biases on embedding...	[]	Validation
30,953	24	Title: A note on the connectedness property of union-free generic sets of partial orders Abstract: This short note describes and proves a connectedness property which was introduced in Blocher et al. [2023] in the context of data depth functions for partial orders. The connectedness property gives a structural insight ...	[ 8280 ]	Train
30,954	16	Title: Directly Optimizing IoU for Bounding Box Localization Abstract: nan	[]	Train
30,955	16	Title: 3D Multi-Object Tracking Based on Uncertainty-Guided Data Association Abstract: In the existing literature, most 3D multi-object tracking algorithms based on the tracking-by-detection framework employed deterministic tracks and detections for similarity calculation in the data association stage. Namely, the inhe...	[ 36257, 7948, 2749 ]	Test
30,956	4	Title: SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning Abstract: Self-supervised learning (SSL) is a commonly used approach to learning and encoding data representations. By using a pre-trained SSL image encoder and training a downstream classifier on top of it, impressive performance can be ac...	[ 28689 ]	Train
30,957	28	Title: Power-Optimal HARQ Protocol for Reliable Free Space Optical Communication Abstract: This paper investigates the usage of hybrid automatic repeat request (HARQ) protocols for power-efficient and reliable communications over free space optical (FSO) links. By exploiting the large coherence time of the FSO channel,...	[]	Train
30,958	37	Title: From Large Language Models to Databases and Back: A discussion on research and education Abstract: This discussion was conducted at a recent panel at the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), held April 17-20, 2023 in Tianjin, China. The title of the panel was...	[ 39888, 39170, 37957, 9775 ]	Test
30,959	24	Title: Thompson Sampling with Diffusion Generative Prior Abstract: In this work, we initiate the idea of using denoising diffusion models to learn priors for online decision making problems. Our special focus is on the meta-learning for bandit framework, with the goal of learning a strategy that performs well across ba...	[]	Train
30,960	24	Title: Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints Abstract: This study presents a benchmark for evaluating action-constrained reinforcement learning (RL) algorithms. In action-constrained RL, each action taken by the learning system must comply with cer...	[ 30828 ]	Train
30,961	30	Title: From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue Abstract: Emotion recognition in conversations (ERC) is a crucial task for building human-like conversational agents. While substantial efforts have been devoted to ERC for chit-chat dialogues, the task-or...	[]	Test
30,962	24	Title: Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification Abstract: We present a comprehensive analysis of quantitatively evaluating explainable artificial intelligence (XAI) techniques for remote sensing image classification. Our approach le...	[ 27245 ]	Test
30,963	25	Title: ProgGP: From GuitarPro Tablature Neural Generation To Progressive Metal Production Abstract: Recent work in the field of symbolic music generation has shown value in using a tokenization based on the GuitarPro format, a symbolic representation supporting guitar expressive attributes, as an input and output repre...	[ 11054 ]	Test
30,964	16	Title: Regularized Vector Quantization for Tokenized Image Synthesis Abstract: Quantizing images into discrete representations has been a fundamental problem in unified generative modeling. Predominant approaches learn the discrete representation either in a deterministic manner by selecting the best-matching token or ...	[ 37099 ]	Validation
30,965	16	Title: Can I Trust Your Answer? Visually Grounded Video Question Answering Abstract: We study visually grounded VideoQA in response to the emerging trends of utilizing pretraining techniques for video-language understanding. Specifically, by forcing vision-language models (VLMs) to answer questions and simultaneously p...	[ 10624, 3076, 33220, 43977, 26635, 7957 ]	Validation
30,966	27	Title: A Virtual-Based Haptic Endoscopic Sinus Surgery (ESS) Training System: from Development to Validation Abstract: Simulated training platforms offer a suitable avenue for surgical students and professionals to build and improve upon their skills, without the hassle of traditional training methods. To enhance the d...	[]	Train
30,967	28	Title: Bounds and Constructions for Generalized Batch Codes Abstract: Private information retrieval (PIR) codes and batch codes are two important types of codes that are designed for coded distributed storage systems and private information retrieval protocols. These codes have been the focus of much attention in recen...	[]	Train
30,968	24	Title: Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks Abstract: Achieving efficient and robust multi-channel data learning is a challenging task in data science. By exploiting low-rankness in the transformed domain, i.e., transformed low-rankness, tensor Singular Value D...	[]	Validation
30,969	5	Title: An Analytical Model-based Capacity Planning Approach for Building CSD-based Storage Systems Abstract: The data movement in large-scale computing facilities (from compute nodes to data nodes) is categorized as one of the major contributors to high cost and energy utilization. To tackle it, in-storage processing (...	[]	Test
30,970	25	Title: Speech Enhancement for Virtual Meetings on Cellular Networks Abstract: We study speech enhancement using deep learning (DL) for virtual meetings on cellular devices, where transmitted speech has background noise and transmission loss that affects speech quality. Since the Deep Noise Suppression (DNS) Challenge d...	[ 12186 ]	Train
30,971	25	Title: DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-speech Generation Abstract: In the Text-to-speech(TTS) task, the latent diffusion model has excellent fidelity and generalization, but its expensive resource consumption and slow inference speed have always been a challenging. This paper propo...	[]	Train
30,972	30	Title: OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models Abstract: We conduct a thorough investigation into the reasoning capabilities of Large Language Models (LLMs), focusing specifically on the Open Pretrained Transformers (OPT) models as a representa...	[ 13700 ]	Train
30,973	16	Title: ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers Abstract: In this paper we delve into the properties of transformers, attained through self-supervision, in the point cloud domain. Specifically, we evaluate the effectiveness of Masked Autoencoding as a pretrainin...	[]	Train
30,974	30	Title: Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media Abstract: In this work, we present the contribution of the BLUE team in the eRisk Lab task on searching for symptoms of depression. The task consists of retrieving and ranking Reddit social media sentences that convey symptoms of ...	[ 38856, 21441, 7827, 33220 ]	Train
30,975	30	Title: HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution Abstract: The rise of large language models (LLMs) had a transformative impact on search, ushering in a new era of search engines that are capable of generating search results in natural language text, imbued with citat...	[ 9536, 25102, 22286, 889, 44063, 3711 ]	Train
30,976	10	Title: Why Oatmeal is Cheap: Kolmogorov Complexity and Procedural Generation Abstract: Although procedural generation is popular among game developers, academic research on the topic has primarily focused on new applications, with some research into empirical analysis. In this paper we relate theoretical work in inform...	[]	Train
30,977	15	Title: Gradient descent-based programming of analog in-memory computing cores Abstract: The precise programming of crossbar arrays of unit-cells is crucial for obtaining high matrix-vector-multiplication (MVM) accuracy in analog in-memory computing (AIMC) cores. We propose a radically different approach based on direct...	[ 25385 ]	Validation

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