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
25,878	2	Title: Internal parametricity, without an interval Abstract: Parametricity is a property of the syntax of type theory implying e.g. that there is only one function having the type of the polymorphic identity function. Parametricity is usually proven externally, and does not hold internally. Internalising it is difficul...	[ 22884 ]	Test
25,879	16	Title: Boundary-Denoising for Video Activity Localization Abstract: Video activity localization aims at understanding the semantic content in long untrimmed videos and retrieving actions of interest. The retrieved action with its start and end locations can be used for highlight generation, temporal action detection, e...	[ 20588, 9964, 21885 ]	Train
25,880	16	Title: Frequency Perception Network for Camouflaged Object Detection Abstract: Camouflaged object detection (COD) aims to accurately detect objects hidden in the surrounding environment. However, the existing COD methods mainly locate camouflaged objects in the RGB domain, their performance has not been fully exploited...	[]	Validation
25,881	30	Title: Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models Abstract: Large language models (LLMs) have scaled up to unlock a wide range of complex reasoning tasks with the aid of various prompting methods. However, current prompting methods generate natural language intermediate step...	[ 12128, 3745, 34208, 13700, 7695, 22578, 10293, 11190 ]	Test
25,882	5	Title: Meerkat: A framework for Dynamic Graph Algorithms on GPUs Abstract: Graph algorithms are challenging to implement due to their varying topology and irregular access patterns. Real-world graphs are dynamic in nature and routinely undergo edge and vertex additions, as well as, deletions. Typical examples of dynami...	[]	Validation
25,883	30	Title: Process Knowledge-infused Learning for Clinician-friendly Explanations Abstract: Language models have the potential to assess mental health using social media data. By analyzing online posts and conversations, these models can detect patterns indicating mental health conditions like depression, anxiety, or suici...	[ 29458, 17127 ]	Test
25,884	10	Title: The Role of Heuristics and Biases During Complex Choices with an AI Teammate Abstract: Behavioral scientists have classically documented aversion to algorithmic decision aids, from simple linear models to AI. Sentiment, however, is changing and possibly accelerating AI helper usage. AI assistance is, arguably, m...	[]	Train
25,885	10	Title: Value Engineering for Autonomous Agents Abstract: Machine Ethics (ME) is concerned with the design of Artificial Moral Agents (AMAs), i.e. autonomous agents capable of reasoning and behaving according to moral values. Previous approaches have treated values as labels associated with some actions or states of the...	[]	Test
25,886	4	Title: Knowledge-Based Dataset for Training PE Malware Detection Models Abstract: ,	[ 32359 ]	Test
25,887	34	Title: Weighted Edit Distance Computation: Strings, Trees, and Dyck Abstract: Given two strings of length n over alphabet Σ, and an upper bound k on their edit distance, the algorithm of Myers (Algorithmica’86) and Landau and Vishkin (JCSS’88) from almost forty years back computes the unweighted string edit distance in...	[ 19044 ]	Train
25,888	31	Title: Exploration and Regularization of the Latent Action Space in Recommendation Abstract: In recommender systems, reinforcement learning solutions have effectively boosted recommendation performance because of their ability to capture long-term user-system interaction. However, the action space of the recommendation...	[ 25312, 8945, 36006, 39126 ]	Train
25,889	16	Title: Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation Abstract: Domain-generalized urban-scene semantic segmentation (USSS) aims to learn generalized semantic predictions across diverse urban-scene styles. Unlike domain gap challenges, USSS is unique in that the semantic cate...	[ 41773, 42599 ]	Train
25,890	24	Title: Dimensionality Reduction for General KDE Mode Finding Abstract: Finding the mode of a high dimensional probability distribution $D$ is a fundamental algorithmic problem in statistics and data analysis. There has been particular interest in efficient methods for solving the problem when $D$ is represented as a mi...	[]	Train
25,891	24	Title: AVARS - Alleviating Unexpected Urban Road Traffic Congestion using UAVs Abstract: Reducing unexpected urban traffic congestion caused by en-route events (e.g., road closures, car crashes, etc.) often requires fast and accurate reactions to choose the best-fit traffic signals. Traditional traffic light control sy...	[]	Train
25,892	10	Title: The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Abstract: We study the design decisions of publicly available instruction tuning methods, and break down the development of Flan 2022 (Chung et al., 2022). Through careful ablation studies on the Flan Collection of tasks and methods...	[ 45058, 37383, 15883, 30221, 16911, 8213, 45594, 31771, 30242, 30243, 38958, 1595, 33340, 35388, 29755, 10830, 16464, 23120, 1115, 13413, 25192, 43641, 35455, 45189, 12940, 6797, 34963, 2197, 8344, 17049, 12445, 30366, 25772, 34477, 5815, 9403, ...	Validation
25,893	24	Title: Federated Automatic Differentiation Abstract: Federated learning (FL) is a general framework for learning across heterogeneous clients while preserving data privacy, under the orchestration of a central server. FL methods often compute gradients of loss functions purely locally (ie. entirely at each client, or e...	[]	Validation
25,894	16	Title: X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification Abstract: Currently, most existing person re-identification methods use Instance-Level features, which are extracted only from a single image. However, these Instance-Level features can easily ignore the discriminative information due...	[]	Train
25,895	38	Title: DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph Abstract: In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG). DBLP is an on-line reference for bibliographic information on major computer science publications that indexes over 4.4 milli...	[ 169 ]	Train
25,896	39	Title: Enumerating Tarski fixed points on lattices of binary relations Abstract: We study the problem of enumerating Tarski fixed points, focusing on the relational lattices of equivalences, quasiorders and binary relations. We present a polynomial space enumeration algorithm for Tarski fixed points on these lattices a...	[]	Train
25,897	16	Title: ReFit: Recurrent Fitting Network for 3D Human Recovery Abstract: We present Recurrent Fitting (ReFit), a neural network architecture for single-image, parametric 3D human reconstruction. ReFit learns a feedback-update loop that mirrors the strategy of solving an inverse problem through optimization. At each iter...	[]	Train
25,898	16	Title: SimDETR: Simplifying self-supervised pretraining for DETR Abstract: DETR-based object detectors have achieved remarkable performance but are sample-inefficient and exhibit slow convergence. Unsupervised pretraining has been found to be helpful to alleviate these impediments, allowing training with large amounts ...	[]	Test
25,899	16	Title: FusionMotion: Multi-Sensor Asynchronous Fusion for Continuous Occupancy Prediction via Neural-ODE Abstract: Occupancy maps are widely recognized as an efficient method for facilitating robot motion planning in static environments. However, for intelligent vehicles, occupancy of both the present and future moment...	[]	Test
25,900	30	Title: FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning Abstract: Learning paradigms for large language models (LLMs) currently tend to fall within either in-context learning (ICL) or full fine-tuning. Each of these comes with their own trade-offs based on available data, model size, compute cost, ea...	[ 25892, 12741, 747, 9772, 6353, 34099, 29396, 18742, 38904, 22042 ]	Validation
25,901	24	Title: Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries Abstract: Early prediction of remaining useful life (RUL) is crucial for effective battery management across various industries, ranging from household appliances to large-scale applications. Accurate RUL prediction improves ...	[]	Test
25,902	24	Title: Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Abstract: Graph neural networks that model 3D data, such as point clouds or atoms, are typically desired to be $SO(3)$ equivariant, i.e., equivariant to 3D rotations. Unfortunately equivariant convolutions, which are a fundamental operation for ...	[ 26620, 45597 ]	Test
25,903	4	Title: Using Topological Data Analysis to classify Encrypted Bits Abstract: We present a way to apply topological data analysis for classifying encrypted bits into distinct classes. Persistent homology is applied to generate topological features of a point cloud obtained from sets of en-cryptions. We see that this mach...	[]	Train
25,904	24	Title: FAMO: Fast Adaptive Multitask Optimization Abstract: One of the grand enduring goals of AI is to create generalist agents that can learn multiple different tasks from diverse data via multitask learning (MTL). However, gradient descent (GD) on the average loss across all tasks may yield poor multitask performanc...	[ 13510 ]	Train
25,905	26	Title: Estimating Network Dimension When the Spectrum Struggles Abstract: What is the dimension of a network? Here, we view it as the smallest dimension of Euclidean space into which nodes can be embedded so that pairwise distances accurately reflect the connectivity structure. We show that a recently proposed and extr...	[]	Train
25,906	3	Title: ICARUS: An Android-Based Unmanned Aerial Vehicle (UAV) Search and Rescue Eye in the Sky Abstract: Purpose–The purpose of this paper is to develop an unmanned aerialvehicle (UAV) using a quadcopter with the capability of videosurveillance,mapcoordinates,a deployableparachute with a medicinekit or a food pack as a...	[]	Train
25,907	6	Title: Datamator: An Intelligent Authoring Tool for Creating Datamations via Data Query Decomposition Abstract: Datamation is designed to animate an analysis pipeline step by step, which is an intuitive and effective way to interpret the results from data analysis. However, creating a datamation is not easy. A qualifie...	[]	Test
25,908	24	Title: Differentiable Random Partition Models Abstract: Partitioning a set of elements into an unknown number of mutually exclusive subsets is essential in many machine learning problems. However, assigning elements, such as samples in a dataset or neurons in a network layer, to an unknown and discrete number of subset...	[]	Validation
25,909	27	Title: Object-centric Representations for Interactive Online Learning with Non-Parametric Methods Abstract: Large offline learning-based models have enabled robots to successfully interact with objects for a wide variety of tasks. However, these models rely on fairly consistent structured environments. For more unstruc...	[]	Test
25,910	16	Title: Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore Abstract: In the area of fewshot anomaly detection (FSAD), efficient visual feature plays an essential role in memory bank M-based methods. However, these methods do not account for the relationship between the visual feature and its r...	[ 9825, 25701, 40265, 17581, 26264, 16378, 34749 ]	Train
25,911	27	Title: Taming the Panda with Python: A Powerful Duo for Seamless Robotics Programming and Integration Abstract: Franka Emika robots have gained significant popularity in research and education due to their exceptional versatility and advanced capabilities. This work introduces panda-py - a Python interface and framewor...	[]	Validation
25,912	30	Title: Reproducibility in NLP: What Have We Learned from the Checklist? Abstract: Scientific progress in NLP rests on the reproducibility of researchers' claims. The *CL conferences created the NLP Reproducibility Checklist in 2020 to be completed by authors at submission to remind them of key information to include. W...	[]	Train
25,913	25	Title: jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research Abstract: This paper introduces the jazznet Dataset, a dataset of fundamental jazz piano music patterns for developing machine learning (ML) algorithms in music information retrieval (MIR). The dataset contains 162520 labe...	[ 11992 ]	Train
25,914	16	Title: Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Abstract: Deep learning has been highly successful in computer vision with large amounts of labeled data, but struggles with limited labeled training data. To address this, Few-shot learning (FSL) is proposed, but it assumes that all samples (i...	[ 1467, 41381, 25027 ]	Train
25,915	30	Title: Automatically Evaluating Opinion Prevalence in Opinion Summarization Abstract: When faced with a large number of product reviews, it is not clear that a human can remember all of them and weight opinions representatively to write a good reference summary. We propose an automatic metric to test the prevalence of ...	[ 25263 ]	Train
25,916	16	Title: Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels Abstract: In real-world scenarios we often need to perform multiple tasks simultaneously. Multi-Task Learning (MTL) is an adequate method to do so, but usually requires datasets labeled for all tasks. We propose a...	[]	Train
25,917	5	Title: Smartpick: Workload Prediction for Serverless-enabled Scalable Data Analytics Systems Abstract: Many data analytic systems have adopted a newly emerging compute resource, serverless (SL), to handle data analytics queries in a timely and cost-efficient manner, i.e., serverless data analytics. While these systems ...	[]	Test
25,918	16	Title: Computing a human-like reaction time metric from stable recurrent vision models Abstract: The meteoric rise in the adoption of deep neural networks as computational models of vision has inspired efforts to"align"these models with humans. One dimension of interest for alignment includes behavioral choices, but mo...	[]	Test
25,919	24	Title: DAVA: Disentangling Adversarial Variational Autoencoder Abstract: The use of well-disentangled representations offers many advantages for downstream tasks, e.g. an increased sample efficiency, or better interpretability. However, the quality of disentangled interpretations is often highly dependent on the choice...	[ 5745 ]	Train
25,920	16	Title: A Monkey Swing Counting Algorithm Based on Object Detection Abstract: This paper focuses on proposing a deep learning-based monkey swing counting algorithm. Nowadays, there are very few papers on monkey detection, and even fewer papers on monkey swing counting. This research focuses on this gap and attempts to c...	[]	Train
25,921	37	Title: Work-Efficient Query Evaluation with PRAMs Abstract: The paper studies query evaluation in parallel constant time in the PRAM model. While it is well-known that all relational algebra queries can be evaluated in constant time on an appropriate CRCW-PRAM, this paper is interested in the efficiency of evaluation a...	[ 22310 ]	Validation
25,922	30	Title: Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification Abstract: Due to the complex label hierarchy and intensive labeling cost in practice, the hierarchical text classification (HTC) suffers a poor performance especially when low-resource or few-shot settings are considered. Recently, there is a ...	[]	Validation
25,923	27	Title: Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review Abstract: Robotic vision, otherwise known as computer vision for robots, is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to...	[]	Validation
25,924	30	Title: Inducing anxiety in large language models increases exploration and bias Abstract: Large language models are transforming research on machine learning while galvanizing public debates. Understanding not only when these models work well and succeed but also why they fail and misbehave is of great societal relevan...	[ 17668, 13413, 21733, 31238, 20531, 30356, 2553, 21724 ]	Train
25,925	36	Title: Evolutionary stability of cooperation in indirect reciprocity under noisy and private assessment Abstract: Indirect reciprocity is a mechanism that explains large-scale cooperation in humans. In indirect reciprocity, individuals use reputations to choose whether or not to cooperate with a partner and update othe...	[]	Train
25,926	36	Title: The Leximin Approach for a Sequence of Collective Decisions Abstract: In many situations, several agents need to make a sequence of decisions. For example, a group of workers that needs to decide where their weekly meeting should take place. In such situations, a decision-making mechanism must consider fairness ...	[ 30097 ]	Validation
25,927	31	Title: Denoising Multi-modal Sequential Recommenders with Contrastive Learning Abstract: There is a rapidly-growing research interest in engaging users with multi-modal data for accurate user modeling on recommender systems. Existing multimedia recommenders have achieved substantial improvements by incorporating variou...	[]	Train
25,928	4	Title: NUANCE: Near Ultrasound Attack On Networked Communication Environments Abstract: This study investigates a primary inaudible attack vector on Amazon Alexa voice services using near ultrasound trojans and focuses on characterizing the attack surface and examining the practical implications of issuing inaudible vo...	[ 21974 ]	Train
25,929	10	Title: Semi-supervised Multimodal Representation Learning through a Global Workspace Abstract: Recent deep learning models can efficiently combine inputs from different modalities (e.g., images and text) and learn to align their latent representations, or to translate signals from one domain to another (as in image cap...	[ 22816, 23545 ]	Train
25,930	16	Title: Generative Visual Question Answering Abstract: Multi-modal tasks involving vision and language in deep learning continue to rise in popularity and are leading to the development of newer models that can generalize beyond the extent of their training data. The current models lack temporal generalization which ena...	[]	Test
25,931	30	Title: Revisiting Entropy Rate Constancy in Text Abstract: The uniform information density (UID) hypothesis states that humans tend to distribute information roughly evenly across an utterance or discourse. Early evidence in support of the UID hypothesis came from Genzel&Charniak (2002), which proposed an entropy rate ...	[]	Test
25,932	3	Title: Sustainability in Computing Education: A Systematic Literature Review Abstract: Research shows that the global society as organized today, with our current technological and economic system, is impossible to sustain. We are living in the Anthropocene, an era in which human activities in highly industrialized cou...	[]	Train
25,933	24	Title: SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate through Compiler Co-design Abstract: This paper introduces SparseOptimizer, a novel deep learning optimizer that exploits Moreau-Yosida regularization to naturally induce sparsity in large language models such as BERT, ...	[ 29396, 12741, 5815 ]	Train
25,934	2	Title: Retroactive Parametrized Monitoring Abstract: In online monitoring, we first synthesize a monitor from a formal specification, which later runs in tandem with the system under study, incrementally receiving its progress and evolving with the system. In offline monitoring the trace is logged as the system progres...	[]	Train
25,935	31	Title: Contrastive Learning for Conversion Rate Prediction Abstract: Conversion rate (CVR) prediction plays an important role in advertising systems. Recently, supervised deep neural network-based models have shown promising performance in CVR prediction. However, they are data hungry and require an enormous amount of ...	[]	Validation
25,936	30	Title: FinGPT: Democratizing Internet-scale Data for Financial Large Language Models Abstract: Large language models (LLMs) have demonstrated remarkable proficiency in understanding and generating human-like texts, which may potentially revolutionize the finance industry. However, existing LLMs often fall short in the ...	[ 40192, 13700, 33220, 33002, 7057, 43641, 12563, 24308, 24377, 23898, 36252, 23805 ]	Train
25,937	27	Title: Towards Human-Robot Collaboration with Parallel Robots by Kinetostatic Analysis, Impedance Control and Contact Detection Abstract: Parallel robots provide the potential to be lever-aged for human-robot collaboration (HRC) due to low collision energies even at high speeds resulting from their reduced moving masse...	[ 44609, 43810 ]	Train
25,938	16	Title: Quilt-1M: One Million Image-Text Pairs for Histopathology Abstract: Recent accelerations in multi-modal applications have been made possible with the plethora of image and text data available online. However, the scarcity of analogous data in the medical field, specifically in histopathology, has halted comparab...	[ 27171, 39642, 5643, 5852 ]	Test
25,939	24	Title: An Adaptive Tangent Feature Perspective of Neural Networks Abstract: In order to better understand feature learning in neural networks, we propose a framework for understanding linear models in tangent feature space where the features are allowed to be transformed during training. We consider linear transformati...	[ 45264, 13510 ]	Validation
25,940	4	Title: Practical Privacy Preservation in a Mobile Cloud Environment Abstract: The proliferation of smartphone devices has led to the emergence of powerful user services from enabling interactions with friends and business associates to mapping, finding nearby businesses and alerting users in real-time. Moreover, users ...	[]	Validation
25,941	16	Title: CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning Abstract: We present CausalVLR (Causal Visual-Linguistic Reasoning), an open-source toolbox containing a rich set of state-of-the-art causal relation discovery and causal inference methods for various visual-linguistic reasoning tasks, suc...	[ 32449, 12522, 43947, 24786, 4062 ]	Train
25,942	16	Title: Deep Learning based Multi-Label Image Classification of Protest Activities Abstract: With the rise of internet technology amidst increasing rates of urbanization, sharing information has never been easier thanks to globally-adopted platforms for digital communication. The resulting output of massive amounts of u...	[]	Train
25,943	30	Title: Chain-of-thought prompting for responding to in-depth dialogue questions with LLM Abstract: The way and content in which users ask questions can provide insight into their current status, including their personality, emotions, and psychology. Instead of directly prompting the large language models (LLMs), we exp...	[ 28674, 34821, 31431, 27281, 44019, 35580 ]	Validation
25,944	27	Title: Target Search and Navigation in Heterogeneous Robot Systems with Deep Reinforcement Learning Abstract: Collaborative heterogeneous robot systems can greatly improve the efficiency of target search and navigation tasks. In this paper, we design a heterogeneous robot system consisting of a UAV and a UGV for search...	[]	Validation
25,945	15	Title: Multi-Electrostatic FPGA Placement Considering SLICEL-SLICEM Heterogeneity, Clock Feasibility, and Timing Optimization Abstract: When modern FPGA architecture becomes increasingly complicated, modern FPGA placement is a mixed optimization problem with multiple objectives, including wirelength, routability, timin...	[]	Train
25,946	3	Title: Personal autonomy and surveillance capitalism: possible future developments Abstract: The rise of social media and the increase in the computational capabilities of computers have allowed tech companies such as Facebook and Google to gather incredibly large amounts of data and to be able to extract meaningful in...	[]	Test
25,947	16	Title: Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction Abstract: Humans are highly adaptable, swiftly switching between different modes to progressively handle different tasks, situations and contexts. In Human-object interaction (HOI) activities, these modes can be attrib...	[]	Train
25,948	16	Title: SEMv2: Table Separation Line Detection Based on Conditional Convolution Abstract: Table structure recognition is an indispensable element for enabling machines to comprehend tables. Its primary purpose is to identify the internal structure of a table. Nevertheless, due to the complexity and diversity of their st...	[ 20100 ]	Train
25,949	16	Title: Face Feature Visualisation of Single Morphing Attack Detection Abstract: This paper proposes an explainable visualisation of different face feature extraction algorithms that enable the detection of bona fide and morphing images for single morphing attack detection. The feature extraction is based on raw image, ...	[]	Train
25,950	16	Title: Unbiased Scene Graph Generation in Videos Abstract: The task of dynamic scene graph generation (SGG) from videos is complicated and challenging due to the inherent dynamics of a scene, temporal fluctuation of model predictions, and the long-tailed distribution of the visual relationships in addition to the alrea...	[ 43042, 5107 ]	Train
25,951	10	Title: Is Task-Agnostic Explainable AI a Myth? Abstract: Our work serves as a framework for unifying the challenges of contemporary explainable AI (XAI). We demonstrate that while XAI methods provide supplementary and potentially useful output for machine learning models, researchers and decision-makers should be mindf...	[ 22380 ]	Train
25,952	10	Title: Automaton-Guided Curriculum Generation for Reinforcement Learning Agents Abstract: Despite advances in Reinforcement Learning, many sequential decision making tasks remain prohibitively expensive and impractical to learn. Recently, approaches that automatically generate reward functions from logical task specifi...	[]	Train
25,953	30	Title: Natural Language Processing in the Legal Domain Abstract: In this paper, we summarize the current state of the field of NLP&Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a nearly complete corpus of more than six hundred NLP&Law relat...	[ 31717, 14026, 33836, 40304, 30323, 40661 ]	Test
25,954	6	Title: Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit Abstract: Automatic group emotion recognition plays an important role in understanding complex human-human interaction. This paper introduces, Emolysis, a standalone open-source toolkit for real-time multimodal group emotion reco...	[]	Train
25,955	16	Title: MedLSAM: Localize and Segment Anything Model for 3D Medical Images Abstract: The Segment Anything Model (SAM) has recently emerged as a groundbreaking model in the field of image segmentation. Nevertheless, both the original SAM and its medical adaptations necessitate slice-by-slice annotations, which directly i...	[ 12704, 19907, 5864, 8084, 44854 ]	Train
25,956	15	Title: Low-Power Data Streaming in Systolic Arrays with Bus-Invert Coding and Zero-Value Clock Gating Abstract: Systolic Array (SA) architectures are well suited for accelerating matrix multiplications through the use of a pipelined array of Processing Elements (PEs) communicating with local connections and pre-orchest...	[ 8969, 45541 ]	Train
25,957	10	Title: On the Potential of Artificial Intelligence Chatbots for Data Exploration of Federated Bioinformatics Knowledge Graphs Abstract: In this paper, we present work in progress on the role of artificial intelligence (AI) chatbots, such as ChatGPT, in facilitating data access to federated knowledge graphs. In particul...	[ 13700 ]	Train
25,958	5	Title: Fast matrix multiplication via compiler‐only layered data reorganization and intrinsic lowering Abstract: The resurgence of machine learning has increased the demand for high‐performance basic linear algebra subroutines (BLAS), which have long depended on libraries to achieve peak performance on commodity hardwa...	[]	Validation
25,959	27	Title: Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking Abstract: State estimation is one of the greatest challenges for cloth manipulation due to cloth's high dimensionality and self-occlusion. Prior works propose to identify the full state of crumpled clothes by training a mesh reconstructio...	[ 16050 ]	Train
25,960	34	Title: Faster exact and approximation algorithms for packing and covering matroids via push-relabel Abstract: Matroids are a fundamental object of study in combinatorial optimization. Three closely related and important problems involving matroids are maximizing the size of the union of $k$ independent sets (that is, $...	[ 2196 ]	Test
25,961	4	Title: Privacy-Preserving Detection Method for Transmission Line Based on Edge Collaboration Abstract: Unmanned aerial vehicles (UAVs) are commonly used for edge collaborative computing in current transmission line object detection, where computationally intensive tasks generated by user nodes are offloaded to more pow...	[]	Validation
25,962	3	Title: Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks Abstract: The examination of post-disaster recovery (PDR) in a socio-physical system enables us to elucidate the complex relationships between humans and infrastructures. Although existing studies have identified ma...	[]	Train
25,963	16	Title: EgoHumans: An Egocentric 3D Multi-Human Benchmark Abstract: We present EgoHumans, a new multi-view multi-human video benchmark to advance the state-of-the-art of egocentric human 3D pose estimation and tracking. Existing egocentric benchmarks either capture single subject or indoor-only scenarios, which limit th...	[ 8854 ]	Validation
25,964	16	Title: Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting Abstract: Sim2Real domain adaptation (DA) research focuses on the constrained setting of adapting from a labeled synthetic source domain to an unlabeled or sparsely labeled real target domain. However,...	[]	Test
25,965	24	Title: An evaluation framework for dimensionality reduction through sectional curvature Abstract: Unsupervised machine learning lacks ground truth by definition. This poses a major difficulty when designing metrics to evaluate the performance of such algorithms. In sharp contrast with supervised learning, for which ple...	[]	Train
25,966	17	Title: PhysGraph: Physics-Based Integration Using Graph Neural Networks Abstract: - pendent	[]	Train
25,967	36	Title: Optimal Capacity Modification for Many-To-One Matching Problems Abstract: We consider many-to-one matching problems, where one side consists of students and the other side of schools with capacity constraints. We study how to optimally increase the capacities of the schools so as to obtain a stable and perfect m...	[]	Train
25,968	16	Title: EMERSK - Explainable Multimodal Emotion Recognition with Situational Knowledge Abstract: Automatic emotion recognition has recently gained significant attention due to the growing popularity of deep learning algorithms. One of the primary challenges in emotion recognition is effectively utilizing the various cue...	[]	Test
25,969	24	Title: Learning to Maximize Mutual Information for Dynamic Feature Selection Abstract: Feature selection helps reduce data acquisition costs in ML, but the standard approach is to train models with static feature subsets. Here, we consider the dynamic feature selection (DFS) problem where a model sequentially queries f...	[ 18176, 8980, 33574, 38592 ]	Train
25,970	24	Title: ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting Abstract: The criticality of prompt and precise traffic forecasting in optimizing traffic flow management in Intelligent Transportation Systems (ITS) has drawn substantial scholarly focus. Spatio-Tempor...	[ 9348, 32869, 28917, 12568, 28445 ]	Train
25,971	24	Title: Adaptive Riemannian Metrics on SPD Manifolds Abstract: Symmetric Positive Definite (SPD) matrices have received wide attention in machine learning due to their intrinsic capacity of encoding underlying structural correlation in data. To reflect the non-Euclidean geometry of SPD manifolds, many successful Riemann...	[ 22778 ]	Train
25,972	5	Title: Shared Memory-contention-aware Concurrent DNN Execution for Diversely Heterogeneous System-on-Chips Abstract: Two distinguishing features of state-of-the-art mobile and autonomous systems are 1) there are often multiple workloads, mainly deep neural network (DNN) inference, running concurrently and continuously;...	[ 18628 ]	Validation
25,973	23	Title: Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Abstract: The recent performance leap of Large Language Models (LLMs) opens up new opportunities across numerous industrial applications and domains. However, erroneous generations, such as false predictions, misinfor...	[ 7585, 44419, 13700, 15301, 13510, 28580, 44623, 37360, 22578, 40882, 14869, 40565, 35580 ]	Train
25,974	27	Title: Flipbot: Learning Continuous Paper Flipping via Coarse-to-Fine Exteroceptive-Proprioceptive Exploration Abstract: This paper tackles the task of singulating and grasping paper-like deformable objects. We refer to such tasks as paper-flipping. In contrast to manipulating deformable objects that lack compression s...	[ 34521 ]	Test
25,975	16	Title: Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model Abstract: The Segment Anything Model (SAM) is a recently developed large model for general-purpose segmentation for computer vision tasks. SAM was trained using 11 million images with over 1 billion masks and can ...	[ 24549, 3782, 26269, 41008, 29270, 16728, 1151, 35263 ]	Train
25,976	4	Title: A New Mathematical Optimization-Based Method for the m-invariance Problem Abstract: The issue of ensuring privacy for users who share their personal information has been a growing priority in a business and scientific environment where the use of different types of data and the laws that protect it have increase...	[]	Train
25,977	30	Title: Age Recommendation from Texts and Sentences for Children Abstract: Children have less text understanding capability than adults. Moreover, this capability differs among the children of different ages. Hence, automatically predicting a recommended age based on texts or sentences would be a great benefit to propos...	[]	Test

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