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
39,078	10	Title: Emergence of Symbols in Neural Networks for Semantic Understanding and Communication Abstract: The capacity to generate meaningful symbols and effectively employ them for advanced cognitive processes, such as communication, reasoning, and planning, constitutes a fundamental and distinctive aspect of human intell...	[]	Test
39,079	24	Title: Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System Abstract: Neural language models are increasingly deployed into APIs and websites that allow a user to pass in a prompt and receive generated text. Many of these systems do not reveal generation parameters. In this pape...	[ 28392, 25395, 29375 ]	Train
39,080	34	Title: Fully Dynamic k-Center in Low Dimensions via Approximate Furthest Neighbors Abstract: Let $P$ be a set of points in some metric space. The approximate furthest neighbor problem is, given a second point set $C,$ to find a point $p \in P$ that is a $(1+\epsilon)$ approximate furthest neighbor from $C.$ The dynamic...	[]	Validation
39,081	24	Title: MCPrioQ: A lock-free algorithm for online sparse markov-chains Abstract: In high performance systems it is sometimes hard to build very large graphs that are efficient both with respect to memory and compute. This paper proposes a data structure called Markov-chain-priority-queue (MCPrioQ), which is a lock-free ...	[]	Train
39,082	22	Title: Efficient CHAD Abstract: We show how the basic Combinatory Homomorphic Automatic Differentiation (CHAD) algorithm can be optimised, using well-known methods, to yield a simple and generally applicable reverse-mode automatic differentiation (AD) technique that has the correct computational complexity that we woul...	[]	Train
39,083	36	Title: Fair Notification Optimization: An Auction Approach Abstract: Notifications are important for the user experience in mobile apps and can influence their engagement. However, too many notifications can be disruptive for users. A typical mobile app usually has several types of notification, managed by distinct tea...	[]	Test
39,084	24	Title: Signed Directed Graph Contrastive Learning with Laplacian Augmentation Abstract: Graph contrastive learning has become a powerful technique for several graph mining tasks. It learns discriminative representation from different perspectives of augmented graphs. Ubiquitous in our daily life, singed-directed graphs...	[]	Train
39,085	24	Title: Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs? Abstract: As Transformer-based models have achieved impressive performance on various time series tasks, Long-Term Series Forecasting (LTSF) tasks have also received extensive attention in recent years. However, due to the inherent c...	[]	Train
39,086	23	Title: Addressing Age-Related Accessibility Needs of Senior Users Through Model-Driven Engineering Abstract: One of the main reasons that cause seniors to face accessibility barriers when trying to use software applications is that the age-related user interface (UI) needs of seniors (e.g., physical and cognitive limit...	[]	Test
39,087	16	Title: Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation Abstract: Efficient RGB-D semantic segmentation has received considerable attention in mobile robots, which plays a vital role in analyzing and recognizing environmental information. According to previous studies,...	[]	Validation
39,088	16	Title: Learn to Cluster Faces with Better Subgraphs Abstract: Face clustering can provide pseudo-labels to the massive unlabeled face data and improve the performance of different face recognition models. The existing clustering methods generally aggregate the features within subgraphs that are often implemented based ...	[]	Train
39,089	10	Title: ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation Abstract: The ability to accurately locate and navigate to a specific object is a crucial capability for embodied agents that operate in the real world and interact with objects to complete tasks. Such object navigation tasks usua...	[ 16194, 26830, 16726, 19719 ]	Train
39,090	8	Title: A Brief Overview of Software-Defined Networking Abstract: The Internet is the driving force of the new digital world, which has created a revolution. With the concept of the Internet of Things (IoT), almost everything is being connected to the internet. However, with the traditional IP network system, it is comp...	[]	Train
39,091	36	Title: A flow-based ascending auction to compute buyer-optimal Walrasian prices Abstract: We consider a market where a set of objects is sold to a set of buyers, each equipped with a valuation function for the objects. The goal of the auctioneer is to determine reasonable prices together with a stable allocation. One d...	[]	Train
39,092	3	Title: Moral Machine or Tyranny of the Majority? Abstract: With artificial intelligence systems increasingly applied in consequential domains, researchers have begun to ask how AI systems ought to act in ethically charged situations where even humans lack consensus. In the Moral Machine project, researchers crowdsource...	[ 45923 ]	Train
39,093	16	Title: Extending Explainable Boosting Machines to Scientific Image Data Abstract: As the deployment of computer vision technology becomes increasingly common in applications of consequence such as medicine or science, the need for explanations of the system output has become a focus of great concern. Unfortunately, man...	[]	Train
39,094	5	Title: Leasing the Cloud-Edge Continuum, à la Carte Abstract: Next-gen computing paradigms foresee deploying applications to virtualised resources along a continuum of Cloud-Edge nodes. Much literature focussed on how to place applications onto such resources so as to meet their requirements. To lease resources to appl...	[]	Test
39,095	10	Title: "What if?" in Probabilistic Logic Programming Abstract: A ProbLog program is a logic program with facts that only hold with a specified probability. In this contribution, we extend this ProbLog language by the ability to answer “What if” queries. Intuitively, a ProbLog program defines a distribution by solving...	[]	Validation
39,096	16	Title: Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems Abstract: This research paper addresses the challenge of detecting obscured wildfires (when the fire flames are covered by trees, smoke, clouds, and other natural barriers) in real-time using drones equip...	[]	Train
39,097	24	Title: Private Training Set Inspection in MLaaS Abstract: Machine Learning as a Service (MLaaS) is a popular cloud-based solution for customers who aim to use an ML model but lack training data, computation resources, or expertise in ML. In this case, the training datasets are typically a private possession of the ML o...	[]	Test
39,098	16	Title: Intersection over Union with smoothing for bounding box regression Abstract: We focus on the construction of a loss function for the bounding box regression. The Intersection over Union (IoU) metric is improved to converge faster, to make the surface of the loss function smooth and continuous over the whole sear...	[]	Validation
39,099	16	Title: Story Visualization by Online Text Augmentation with Context Memory Abstract: Story visualization (SV) is a challenging text-to-image generation task for the difficulty of not only rendering visual details from the text descriptions but also encoding a long-term context across multiple sentences. While prior eff...	[]	Train
39,100	16	Title: Supervised Contrastive Learning and Feature Fusion for Improved Kinship Verification Abstract: Facial Kinship Verification is the task of determining the degree of familial relationship between two facial images. It has recently gained a lot of interest in various applications spanning forensic science, social m...	[]	Test
39,101	34	Title: The Incremental Knapsack Problem with Monotone Submodular All-or-Nothing Profits Abstract: We study incremental knapsack problems with profits given by a special class of monotone submodular functions, that we dub all-or-nothing. We show that these problems are not harder to approximate than a less general class...	[]	Train
39,102	28	Title: Estimating the Sizes of Binary Error-Correcting Constrained Codes Abstract: In this paper, we study binary constrained codes that are resilient to bit-flip errors and erasures. In our first approach, we compute the sizes of constrained subcodes of linear codes. Since there exist well-known linear codes that achi...	[ 32163 ]	Train
39,103	24	Title: Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models Abstract: The introduction of the transformer architecture and the self-attention mechanism has led to an explosive production of language models trained on specific downstream tasks and data domains. With over 200, 000 models in the...	[ 14920 ]	Train
39,104	6	Title: XRLoc: Accurate UWB Localization for XR Systems Abstract: Understanding the location of ultra-wideband (UWB) tag-attached objects and people in the real world is vital to enabling a smooth cyber-physical transition. However, most UWB localization systems today require multiple anchors in the environment, which c...	[]	Validation
39,105	7	Title: Bayesian Optimal Experimental Design for Constitutive Model Calibration Abstract: Computational simulation is increasingly relied upon for high-consequence engineering decisions, and a foundational element to solid mechanics simulations, such as finite element analysis (FEA), is a credible constitutive or materi...	[]	Test
39,106	16	Title: Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style Abstract: This paper studies the problem of zero-short sketch-based image retrieval (ZS-SBIR), however with two significant differentiators to prior art (i) we tackle all variants (inter-category, intracategory, and cross datasets) of ZS...	[ 19886, 26396, 5486 ]	Validation
39,107	30	Title: LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space Abstract: In recent years, large language models (LMs) have achieved remarkable progress across various natural language processing tasks. As pre-training and fine-tuning are costly and might negatively impact model performance, it is des...	[ 25288 ]	Validation
39,108	16	Title: DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis Abstract: Limited labeled data makes it hard to train models from scratch in medical domain, and an important paradigm is pre-training and then fine-tuning. Large pre-trained models contain rich representations, which can b...	[ 40192, 30825, 37070, 27282, 3609 ]	Validation
39,109	24	Title: AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents Abstract: The reproducibility of many experimental results in Deep Reinforcement Learning (RL) is under question. To solve this reproducibility crisis, we propose a theoretically sound methodology to compare multiple Deep RL alg...	[]	Test
39,110	16	Title: Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings Abstract: nan	[ 36491 ]	Validation
39,111	31	Title: Who Provides the Largest Megaphone? The Role of Google News in Promoting Russian State-Affiliated News Sources Abstract: The Internet has not only digitized but also democratized information access across the globe. This gradual but path-breaking move to online information propagation has resulted in search engi...	[]	Train
39,112	15	Title: Design of an FPGA-based USB 3.0 device controller Abstract: A BSTRACT : The traditional USB 3.0 communication based on FPGA uses an external chip as a USB PHY or a USB controller including a USB PHY. This paper realizes a USB 3.0 controller using FPGA resources, in which FPGA logic realizes a serial interface en...	[]	Train
39,113	30	Title: Weakly Supervised Headline Dependency Parsing Abstract: English news headlines form a register with unique syntactic properties that have been documented in linguistics literature since the 1930s. However, headlines have received surprisingly little attention from the NLP syntactic parsing community. We aim to b...	[]	Train
39,114	30	Title: Translating Natural Language to Planning Goals with Large-Language Models Abstract: Recent large language models (LLMs) have demonstrated remarkable performance on a variety of natural language processing (NLP) tasks, leading to intense excitement about their applicability across various domains. Unfortunately, ...	[ 10242, 22148, 5254, 19720, 22288, 3347, 21782, 40602, 41247, 13224, 29612, 40368, 41780, 13882, 11842, 34755, 8138, 35530, 976, 29017, 22115 ]	Train
39,115	16	Title: 4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free Images Abstract: Currently, mobile and IoT devices are in dire need of a series of methods to enhance 4K images with limited resource expenditure. The absence of large-scale 4K benchmark datasets hampers progress in this area, especially for deh...	[]	Validation
39,116	30	Title: Toward Open-domain Slot Filling via Self-supervised Co-training Abstract: Slot filling is one of the critical tasks in modern conversational systems. The majority of existing literature employs supervised learning methods, which require labeled training data for each new domain. Zero-shot learning and weak super...	[]	Validation
39,117	16	Title: Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks Abstract: While achieving unmatched performance on many well-defined tasks, deep learning models have also been used to solve visual abstract reasoning tasks, which are relatively less well-defined, and have been widely used to measure human intell...	[]	Validation
39,118	26	Title: MuLaN: a MultiLayer Networks Alignment Algorithm Abstract: A Multilayer Network (MN) is a system consisting of several topological levels (i.e., layers) representing the interactions between the system's objects and the related interdependency. Therefore, it may be represented as a set of layers that can be assi...	[]	Validation
39,119	27	Title: Tactile-Reactive Roller Grasper Abstract: Manipulation of objects within a robot's hand is one of the most important challenges in achieving robot dexterity. The"Roller Graspers"refers to a family of non-anthropomorphic hands utilizing motorized, rolling fingertips to achieve in-hand manipulation. These graspers...	[]	Validation
39,120	24	Title: Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces Abstract: Recent studies propose enhancing machine learning models by aligning the geometric characteristics of the latent space with the underlying data structure. Instead of relying solely on Euclidean space, researchers have suggested ...	[ 15107 ]	Validation
39,121	24	Title: Artificial Neuronal Ensembles with Learned Context Dependent Gating Abstract: Biological neural networks are capable of recruiting different sets of neurons to encode different memories. However, when training artificial neural networks on a set of tasks, typically, no mechanism is employed for selectively produ...	[]	Train
39,122	30	Title: Comparing Measures of Linguistic Diversity Across Social Media Language Data and Census Data at Subnational Geographic Areas Abstract: This paper describes a preliminary study on the comparative linguistic ecology of online spaces (i.e., social media language data) and real-world spaces in Aotearoa New Zealand (...	[]	Train
39,123	16	Title: Deep Image Matting: A Comprehensive Survey Abstract: Image matting refers to extracting precise alpha matte from natural images, and it plays a critical role in various downstream applications, such as image editing. Despite being an ill-posed problem, traditional methods have been trying to solve it for decades...	[ 23877, 15415 ]	Train
39,124	31	Title: Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures Abstract: Federated recommender systems (FedRecs) have been widely explored recently due to their ability to protect user data privacy. In FedRecs, a central server collaboratively learns recommendation models by sharing model publ...	[ 4473, 22997 ]	Train
39,125	10	Title: Giraffe: Adventures in Expanding Context Lengths in LLMs Abstract: Modern large language models (LLMs) that rely on attention mechanisms are typically trained with fixed context lengths which enforce upper limits on the length of input sequences that they can handle at evaluation time. To use these models on seq...	[ 39873, 13700, 43641, 9403, 29725 ]	Validation
39,126	31	Title: Counterfactual Collaborative Reasoning Abstract: Causal reasoning and logical reasoning are two important types of reasoning abilities for human intelligence. However, their relationship has not been extensively explored under machine intelligence context. In this paper, we explore how the two reasoning abilitie...	[ 25888 ]	Train
39,127	3	Title: Towards an AI Accountability Policy Abstract: This white paper is a response to the"AI Accountability Policy Request for Comments"by the National Telecommunications and Information Administration of the United States. The question numbers for which comments were requested are provided in superscripts at the end ...	[]	Train
39,128	18	Title: Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing Abstract: We quantify the impact of thermo-optic and free-carrier effects on time-delay reservoir computing using a silicon microring resonator. We identify pump power and frequency detuning ranges with NMSE less than 0.05 for t...	[]	Train
39,129	16	Title: Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation Abstract: Objective and Impact Statement: Accurate organ segmentation is critical for many clinical applications at different clinical sites, which may have their specific application requirements that concern different organs. ...	[]	Validation
39,130	27	Title: Shutter, the Robot Photographer: Leveraging Behavior Trees for Public, In-the-Wild Human-Robot Interactions Abstract: Deploying interactive systems in-the-wild requires adaptability to situations not encountered in lab environments. Our work details our experience about the impact of architecture choice on behav...	[]	Validation
39,131	16	Title: BEV-IO: Enhancing Bird's-Eye-View 3D Detection with Instance Occupancy Abstract: A popular approach for constructing bird's-eye-view (BEV) representation in 3D detection is to lift 2D image features onto the viewing frustum space based on explicitly predicted depth distribution. However, depth distribution can o...	[ 12130, 17612, 529, 24600, 21118 ]	Test
39,132	34	Title: Data Structures for Density Estimation Abstract: We study statistical/computational tradeoffs for the following density estimation problem: given $k$ distributions $v_1, \ldots, v_k$ over a discrete domain of size $n$, and sampling access to a distribution $p$, identify $v_i$ that is"close"to $p$. Our main resul...	[]	Test
39,133	23	Title: PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages Abstract: Due to the cost of developing and training deep learning models from scratch, machine learning engineers have begun to reuse pre-trained models (PTMs) and fine-tune them for downstream tasks. PTM registries known as “model hubs” su...	[ 7970, 40074, 25738, 28274, 27705 ]	Validation
39,134	24	Title: Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Abstract: This article provides a comprehensive synthesis of the recent developments in synthetic data generation via deep generative models, focusing on tabular datasets. We specifically outline the importance of...	[ 1584, 23540 ]	Train
39,135	8	Title: Joint Communication, Sensing, and Computation Enabled 6G Intelligent Machine System Abstract: With the rapid development of the smart city, high-level autonomous driving, intelligent manufacturing, and so on, the stringent industrial-level requirements of extremely low latency and high reliability for communicat...	[ 24648, 43903, 11287 ]	Train
39,136	36	Title: How to Use Reinforcement Learning to Facilitate Future Electricity Market Design? Part 2: Method and Applications Abstract: This two-part paper develops a paradigmatic theory and detailed methods of the joint electricity market design using reinforcement-learning (RL)-based simulation. In Part 2, this theory is ...	[]	Train
39,137	16	Title: Structured Epipolar Matcher for Local Feature Matching Abstract: Local feature matching is challenging due to textureless and repetitive patterns. Existing methods focus on using appearance features and global interaction and matching, while the importance of geometry priors in local feature matching has not bee...	[ 33222 ]	Train
39,138	24	Title: Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints Abstract: Combining machine learning and constrained optimization, Predict+Optimize tackles optimization problems containing parameters that are unknown at the time of solving. Prior works focus on cases with unkn...	[ 12233 ]	Train
39,139	24	Title: Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance Abstract: Gradient Boosting Decision Tree (GBDT) has achieved remarkable success in a wide variety of applications. The split finding algorithm, which determines the tree construction process, is one of the most crucial components of GBDT....	[]	Validation
39,140	23	Title: An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity Abstract: Web3, the next generation of the Internet, represents a decentralized and democratized web. Although it has garnered significant public interest and found numerous real-world applications, there is a limited understanding of...	[]	Test
39,141	24	Title: Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Abstract: We study Bayesian optimization (BO) in high-dimensional and non-stationary scenarios. Existing algorithms for such scenarios typically require extensive hyperparameter tuning, which limits their practical effectiv...	[ 21210, 19399 ]	Test
39,142	30	Title: EDeR: A Dataset for Exploring Dependency Relations Between Events Abstract: Relation extraction is a central task in natural language processing (NLP) and information retrieval (IR) research. We argue that an important type of relation not explored in NLP or IR research to date is that of an event being an argum...	[]	Train
39,143	22	Title: Generic Programming with Extensible Data Types: Or, Making Ad Hoc Extensible Data Types Less Ad Hoc Abstract: We present a novel approach to generic programming over extensible data types. Row types capture the structure of records and variants, and can be used to express record and variant subtyping, record ext...	[]	Train
39,144	24	Title: A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be expensive and time-consuming. Self...	[ 38912, 4643 ]	Train
39,145	16	Title: Train/Test-Time Adaptation with Retrieval Abstract: We introduce Train/Test-Time Adaptation with Retrieval (T3 AR), a method to adapt models both at train and test time by means of a retrieval module and a searchable pool of external samples. Before inference, T3AR adapts a given model to the downstream task usi...	[]	Train
39,146	26	Title: Semantic Random Walk for Graph Representation Learning in Attributed Graphs Abstract: In this study, we focus on the graph representation learning (a.k.a. network embedding) in attributed graphs. Different from existing embedding methods that treat the incorporation of graph structure and semantic as the simple ...	[ 38998 ]	Train
39,147	30	Title: Comparative Analysis of CHATGPT and the evolution of language models Abstract: Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triump...	[ 17577, 38811, 38449, 36111 ]	Validation
39,148	25	Title: Improving Weakly Supervised Sound Event Detection with Causal Intervention Abstract: Existing weakly supervised sound event detection (WSSED) work has not explored both types of co-occurrences simultaneously, i.e., some sound events often co-occur, and their occurrences are usually accompanied by specific backgr...	[ 29722 ]	Validation
39,149	24	Title: Particle-based Online Bayesian Sampling Abstract: Online optimization has gained increasing interest due to its capability of tracking real-world streaming data. Although online optimization methods have been widely studied in the setting of frequentist statistics, few works have considered online optimization w...	[ 33530, 25444, 7350 ]	Validation
39,150	16	Title: D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers Abstract: Despite the promising results, existing oriented object detection methods usually involve heuristically designed rules, e.g., RRoI generation, rotated NMS. In this paper, we propose an end-to-end framework for orie...	[ 9138 ]	Train
39,151	27	Title: Improving the Generalizability of Trajectory Prediction Models with Frenét-Based Domain Normalization Abstract: Predicting the future trajectories of robots' nearby objects plays a pivotal role in applications such as autonomous driving. While learning-based trajectory prediction methods have achieved remarkable...	[ 18283 ]	Train
39,152	24	Title: Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling Abstract: Conditional sampling of variational autoencoders (VAEs) is needed in various applications, such as missing data imputation, but is computationally intractable. A principled choice for asymptotically exact condi...	[]	Train
39,153	16	Title: Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework Abstract: The detection of small infrared targets against blurred and cluttered backgrounds has remained an enduring challenge. In recent years, learning-based schemes have become the mainstream methodology to establish the ...	[ 32802, 31163, 36829, 41182 ]	Test
39,154	7	Title: Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals Abstract: Recent advances in scientific machine learning have shed light on the modeling of pattern-forming systems. However, simulations of real pat...	[]	Test
39,155	24	Title: Scaling machine learning-based chemical plant simulation: A method for fine-tuning a model to induce stable fixed points Abstract: Idealized first-principles models of chemical plants can be inaccurate. An alternative is to fit a Machine Learning (ML) model directly to plant sensor data. We use a structured appr...	[]	Train
39,156	30	Title: The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research Abstract: Recent advances in deep learning methods for natural language processing (NLP) have created new business opportunities and made NLP research critical for industry development. As one of the big players ...	[ 44441, 17092 ]	Validation
39,157	30	Title: Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks:A Use Case in Adverse Drug Events Abstract: Current approaches for clinical information extraction are inefficient in terms of computational costs and memory consumption, hindering their application to p...	[ 34278 ]	Validation
39,158	24	Title: Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity Abstract: Quality-Diversity is a branch of stochastic optimization that is often applied to problems from the Reinforcement Learning and control domains in order to construct repertoires of well-performing policies/skil...	[ 17153, 8994, 37252, 13510, 3398, 34215, 22222, 33006, 634 ]	Train
39,159	30	Title: Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model Abstract: Pretrained language models have achieved remarkable success in various natural language processing tasks. However, pretraining has recently shifted toward larger models and larger data, and this has resulted in...	[ 30221 ]	Train
39,160	28	Title: Random Linear Network Coding for Non-Orthogonal Multiple Access in Multicast Optical Wireless Systems Abstract: Optical Wireless Communication networks (OWC) has emerged as a promising technology that enables high-speed and reliable communication bandwidth for a variety of applications. In this work, we investig...	[]	Validation
39,161	16	Title: CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement Abstract: Low-light images, characterized by inadequate illumination, pose challenges of diminished clarity, muted colors, and reduced details. Low-light image enhancement, an essential task in computer vision, aims to rectify the...	[]	Test
39,162	30	Title: NAVER LABS Europe’s Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track Abstract: This paper presents NAVER LABS Europe’s systems for Tamasheq-French and Quechua-Spanish speech translation in the IWSLT 2023 Low-Resource track. Our work attempts to maximize translation quality in low-res...	[]	Train
39,163	16	Title: Uniqueness of Iris Pattern Based on AR Model Abstract: The assessment of iris uniqueness plays a crucial role in analyzing the capabilities and limitations of iris recognition systems. Among the various methodologies proposed, Daugman's approach to iris uniqueness stands out as one of the most widely accepted. A...	[]	Test
39,164	3	Title: Innovating Computer Programming Pedagogy: The AI-Lab Framework for Generative AI Adoption Abstract: Over the last year, the ascent of Generative AI (GenAI) has raised concerns about its impact on core skill development, such as problem-solving and algorithmic thinking, in Computer Science students. Preliminary a...	[ 100, 40036, 4937, 43566, 593, 9265, 32250, 28607 ]	Test
39,165	28	Title: Age of Information in Deep Learning-Driven Task-Oriented Communications Abstract: This paper studies the notion of age in task-oriented communications that aims to execute a task at a receiver utilizing the data at its transmitter. The transmitter-receiver operations are modeled as an encoder-decoder pair that i...	[ 45268, 39973 ]	Test
39,166	16	Title: Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric Abstract: Existing vehicle re-identification methods mainly rely on the single query, which has limited information for vehicle representation and thus significantly hinders the performance of vehicle Re-ID in co...	[]	Train
39,167	16	Title: HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions Abstract: Supervised learning of skeleton sequence encoders for action recognition has received significant attention in recent times. However, learning such encoders without labels continues to be a challenging problem. ...	[ 18707, 18058, 1075 ]	Train
39,168	16	Title: ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition Abstract: Class imbalance is a common challenge in real-world recognition tasks, where the majority of classes have few samples, also known as tail classes. We address this challenge with the perspective of generalization and e...	[]	Test
39,169	16	Title: Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation Abstract: Interactive segmentation enables users to segment as needed by providing cues of objects, which introduces human-computer interaction for many fields, such as image editing and medical image analysis. Typically, massive ...	[ 880, 31985, 8576, 342 ]	Test
39,170	30	Title: AugGPT: Leveraging ChatGPT for Text Data Augmentation Abstract: Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially prominent in the few-shot learning scenario, where the data in the tar...	[ 5312, 12128, 20355, 25892, 21928, 33323, 31533, 30958, 36528, 24756, 23286, 40055, 44246, 35580, 6942 ]	Validation
39,171	24	Title: A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction Abstract: Despite various breakthroughs in machine learning and data analysis techniques for improving smart operation and management of urban water infrastructures, some key limi...	[]	Train
39,172	27	Title: Emergent Cooperative Behavior in Distributed Target Tracking with Unknown Occlusions Abstract: Tracking multiple moving objects of interest (OOI) with multiple robot systems (MRS) has been addressed by active sensing that maintains a shared belief of OOIs and plans the motion of robots to maximize the informatio...	[]	Train
39,173	16	Title: Are current long-term video understanding datasets long-term? Abstract: Many real-world applications, from sport analysis to surveillance, benefit from automatic long-term action recognition. In the current deep learning paradigm for automatic action recognition, it is imperative that models are trained and test...	[ 45205 ]	Test
39,174	30	Title: Balanced and Explainable Social Media Analysis for Public Health with Large Language Models Abstract: As social media becomes increasingly popular, more and more public health activities emerge, which is worth noting for pandemic monitoring and government decision-making. Current techniques for public health ana...	[ 40192, 33220, 13700, 36091 ]	Train
39,175	25	Title: Analysis of Speech Separation Performance Degradation on Emotional Speech Mixtures Abstract: Despite recent strides made in Speech Separation, most models are trained on datasets with neutral emotions. Emotional speech has been known to degrade performance of models in a variety of speech tasks, which reduces th...	[ 45587, 37332 ]	Train
39,176	10	Title: X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events Abstract: Intuitive physics is pivotal for human understanding of the physical world, enabling prediction and interpretation of events even in infancy. Nonetheless, replicating this level of intuitive physics in artificial intelligence (AI)...	[]	Train
39,177	30	Title: How Old is GPT?: The HumBEL Framework for Evaluating Language Models using Human Demographic Data Abstract: While large pre-trained language models (LMs) find greater use across NLP, existing evaluation protocols do not consider how LM language use aligns with particular human demographic groups, which can be an...	[ 21724 ]	Validation

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