node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
39,278 | 36 | Title: Practical algorithms and experimentally validated incentives for equilibrium-based fair division (A-CEEI)
Abstract: Approximate Competitive Equilibrium from Equal Incomes (A-CEEI) is an equilibrium-based solution concept for fair division of discrete items to agents with combinatorial demands. In theory, it is k... | [] | Validation |
39,279 | 10 | Title: Data-driven intelligent computational design for products: method, techniques, and applications
Abstract:
Data-driven intelligent computational design (DICD) is a research hotspot that emerged under fast-developing artificial intelligence. It emphasizes utilizing deep learning algorithms to extract and represe... | [] | Train |
39,280 | 30 | Title: Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
Abstract: We investigate the role of various demonstration components in the in-context learning (ICL) performance of large language models (LLMs). Specifically, we explore the impacts of ground-truth labels, input distri... | [
40192,
37766,
42983,
40882,
3795,
20319
] | Test |
39,281 | 38 | Title: How and Why do Researchers Reference Data? A Study of Rhetorical Features and Functions of Data References in Academic Articles
Abstract: Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cit... | [
38848
] | Train |
39,282 | 37 | Title: JoinBoost: Grow Trees Over Normalized Data Using Only SQL
Abstract: Although dominant for tabular data, ML libraries that train tree models over normalized databases (e.g., LightGBM, XGBoost) require the data to be denormalized as a single table, materialized, and exported. This process is not scalable, slow, an... | [
44420,
3757,
34734
] | Test |
39,283 | 24 | Title: Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets
Abstract: In this note, we demonstrate a first-of-its-kind provable convergence of SGD to the global minima of appropriately regularized logistic empirical risk of depth $2$ nets -- for arbitrary data and with any number of gates with adequatel... | [] | Test |
39,284 | 30 | Title: Complementary and Integrative Health Lexicon (CIHLex) and Entity Recognition in the Literature
Abstract: Objective: Our study aimed to construct an exhaustive Complementary and Integrative Health (CIH) Lexicon (CIHLex) to better represent the often underrepresented physical and psychological CIH approaches in st... | [] | Train |
39,285 | 6 | Title: Developing IncidentUI - A Ride Comfort and Disengagement Evaluation Application for Autonomous Vehicles
Abstract: This report details the design, development, and implementation of IncidentUI, an Android tablet application designed to measure user-experienced ride comfort and record disengagement data for autono... | [] | Validation |
39,286 | 24 | Title: GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction
Abstract: Drug-target binding affinity prediction plays an important role in the early stages of drug discovery, which can infer the strength of interactions between new drugs and new targets. However, ... | [] | Train |
39,287 | 28 | Title: Weighted Graph Coloring for Quantized Computing
Abstract: We consider the problem of distributed lossless computation of a function of two sources by one common user. To do so, we first build a bipartite graph, where two disjoint parts denote the individual source outcomes. We then project the bipartite graph on... | [
21773
] | Validation |
39,288 | 4 | Title: Exploration of Quantum Computer Power Side-Channels
Abstract: With the rapidly growing interest in quantum computing also grows the importance of securing these quantum computers from various physical attacks. Constantly increasing qubit counts and improvements to the fidelity of the quantum computers hold great... | [
10933
] | Validation |
39,289 | 24 | Title: ASTRIDE: Adaptive Symbolization for Time Series Databases
Abstract: We introduce ASTRIDE (Adaptive Symbolization for Time seRIes DatabasEs), a novel symbolic representation of time series, along with its accelerated variant FASTRIDE (Fast ASTRIDE). Unlike most symbolization procedures, ASTRIDE is adaptive during... | [] | Validation |
39,290 | 24 | Title: Training trajectories, mini-batch losses and the curious role of the learning rate
Abstract: Stochastic gradient descent plays a fundamental role in nearly all applications of deep learning. However its ability to converge to a global minimum remains shrouded in mystery. In this paper we propose to study the beh... | [
17382
] | Train |
39,291 | 30 | Title: SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
Abstract: Despite the progress we have recorded in the last few years in multilingual natural language processing, evaluation is typically limited to a small set of languages with available datasets w... | [
40192,
31105,
33573,
747,
7469,
11918,
25813,
35388,
4734,
23615
] | Train |
39,292 | 15 | Title: A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation
Abstract: The objective of this study is to illustrate the process of training a Deep Neural Network (DNN) within a Resistive RAM (ReRAM) Crossbar-based simulation environment using CrossSim, an Application Programming Interface (A... | [] | Train |
39,293 | 30 | Title: Abstractive Summary Generation for the Urdu Language
Abstract: Abstractive summary generation is a challenging task that requires the model to comprehend the source text and generate a concise and coherent summary that captures the essential information. In this paper, we explore the use of an encoder/decoder ap... | [] | Train |
39,294 | 30 | Title: Benchmarking Neural Network Generalization for Grammar Induction
Abstract: How well do neural networks generalize? Even for grammar induction tasks, where the target generalization is fully known, previous works have left the question open, testing very limited ranges beyond the training set and using different ... | [
21939
] | Train |
39,295 | 30 | Title: Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
Abstract: To recognize and mitigate harms from large language models (LLMs), we need to understand the prevalence and nuances of stereotypes in LLM outputs. Toward this end, we present Marked Personas, a prompt-based method... | [
33220,
31238,
808,
12424,
24841,
846,
27439,
40693,
24886,
26199,
345,
34103
] | Validation |
39,296 | 16 | Title: Toward Auto-evaluation with Confidence-based Category Relation-aware Regression
Abstract: Auto-evaluation aims to automatically evaluate a trained model on any test dataset without human annotations. Most existing methods utilize global statistics of features extracted by the model as the representation of a dat... | [] | Validation |
39,297 | 30 | Title: Mitigating Word Bias in Zero-shot Prompt-based Classifiers
Abstract: Prompt-based classifiers are an attractive approach for zero-shot classification. However, the precise choice of the prompt template and label words can largely influence performance, with semantically equivalent settings often showing notable ... | [
33676
] | Test |
39,298 | 6 | Title: Text Entry Performance and Situation Awareness of a Joint Optical See-Through Head-Mounted Display and Smartphone System
Abstract: Optical see-through head-mounted displays (OST HMDs) are a popular output medium for mobile Augmented Reality (AR) applications. To date, they lack efficient text entry techniques. S... | [] | Train |
39,299 | 16 | Title: Data-iterative Optimization Score Model for Stable Ultra-Sparse-View CT Reconstruction
Abstract: Score-based generative models (SGMs) have gained prominence in sparse-view CT reconstruction for their precise sampling of complex distributions. In SGM-based reconstruction, data consistency in the score-based diffu... | [] | Train |
39,300 | 26 | Title: Group polarization, influence, and domination in online interaction networks: a case study of the 2022 Brazilian elections
Abstract: The erosion of social cohesion and polarization is one of the topmost societal risks. In this work, we investigated the evolution of polarization, influence, and domination in onli... | [] | Train |
39,301 | 26 | Title: Political Issue or Public Health: the Vaccination Debate on Twitter in Europe
Abstract: At the beginning of the COVID-19 pandemic, fears grew that making vaccination a political (instead of public health) issue may impact the efficacy of this life-saving intervention, spurring the spread of vaccine-hesitant cont... | [] | Test |
39,302 | 27 | Title: Towards vision-based dual arm robotic fruit harvesting
Abstract: Interest in agricultural robotics has increased considerably in recent years due to benefits such as improvement in productivity and labor reduction. However, current problems associated with unstructured environments make the development of roboti... | [] | Test |
39,303 | 2 | Title: A Monoidal View on Fixpoint Checks
Abstract: Fixpoints are ubiquitous in computer science as they play a central role in providing a meaning to recursive and cyclic definitions. Bisimilarity, behavioural metrics, termination probabilities for Markov chains and stochastic games are defined in terms of least or gr... | [] | Test |
39,304 | 23 | Title: Model-Driven Engineering Method to Support the Formalization of Machine Learning using SysML
Abstract: Methods: This work introduces a method supporting the collaborative definition of machine learning tasks by leveraging model-based engineering in the formalization of the systems modeling language SysML. The me... | [] | Train |
39,305 | 8 | Title: An Intent-based Framework for Vehicular Edge Computing
Abstract: The rapid development of emerging vehicular edge computing (VEC) brings new opportunities and challenges for dynamic resource management. The increasing number of edge data centers, roadside units (RSUs), and network devices, how-ever, makes resour... | [] | Train |
39,306 | 16 | Title: Discriminative Deep Feature Visualization for Explainable Face Recognition
Abstract: Despite the huge success of deep convolutional neural networks in face recognition (FR) tasks, current methods lack explainability for their predictions because of their"black-box"nature. In recent years, studies have been carri... | [
36785
] | Train |
39,307 | 18 | Title: Electromechanical memcapacitive neurons for energy-efficient spiking neural networks
Abstract: In this article, we introduce a new nanoscale electromechanical device -- a leaky memcapacitor -- and show that it may be useful for the hardware implementation of spiking neurons. The leaky memcapacitor is a movable-p... | [] | Train |
39,308 | 24 | Title: Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices
Abstract: The recent surge of interest surrounding Multimodal Neural Networks (MM-NN) is attributed to their ability to effectively process and integrate information from diverse data sources. In MM-NN, features ar... | [
16983
] | Test |
39,309 | 1 | Title: DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Abstract: Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversation. This task arises as ... | [
45519
] | Train |
39,310 | 34 | Title: Adding an Edge in a $P_4$-sparse Graph
Abstract: . The minimum completion (fill-in) problem is defined as follows: Given a graph family F (more generally, a property Π ) and a graph G , the completion problem asks for the minimum number of non-edges needed to be added to G so that the resulting graph belongs to th... | [] | Validation |
39,311 | 24 | Title: Equitable Time-Varying Pricing Tariff Design: A Joint Learning and Optimization Approach
Abstract: Time-varying pricing tariffs incentivize consumers to shift their electricity demand and reduce costs, but may increase the energy burden for consumers with limited response capability. The utility must thus balanc... | [] | Validation |
39,312 | 13 | Title: Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Abstract: Spiking Neural Networks (SNNs) have gained great attraction due to their distinctive properties of low power consumption and fast inference on neuromorphic hardware. As the most effective method to get deep SNNs,... | [
27662,
11282,
17812,
40475,
38174,
25384,
45868,
22837,
18231,
24504,
15034,
14528,
10440,
34896,
22629,
13290,
18548,
41080,
37372
] | Train |
39,313 | 28 | Title: Vertical Federated Learning over Cloud-RAN: Convergence Analysis and System Optimization
Abstract: Vertical federated learning (FL) is a collaborative machine learning framework that enables devices to learn a global model from the feature-partition datasets without sharing local raw data. However, as the number... | [] | Train |
39,314 | 16 | Title: Unified Open-Vocabulary Dense Visual Prediction
Abstract: In recent years, open-vocabulary (OV) dense visual prediction (such as OV object detection, semantic, instance and panoptic segmentations) has attracted increasing research attention. However, most of existing approaches are task-specific and individually... | [
37254
] | Test |
39,315 | 24 | Title: Enhancing Fault Resilience of QNNs by Selective Neuron Splitting
Abstract: The superior performance of Deep Neural Networks (DNNs) has led to their application in various aspects of human life. Safety-critical applications are no exception and impose rigorous reliability requirements on DNNs. Quantized Neural Ne... | [
30637
] | Validation |
39,316 | 24 | Title: Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer
Abstract: Knowledge graphs (KG) are essential background knowledge providers in many tasks. When designing models for KG-related tasks, one of the key tasks is to devise the Knowledge Representation and Fusion (KRF) module that learns the repre... | [
34719
] | Train |
39,317 | 2 | Title: Orthologic with Axioms
Abstract: We study the proof theory and algorithms for orthologic, a logical system based on ortholattices, which have shown practical relevance in simplification and normalization of verification conditions. Ortholattices weaken Boolean algebras while having polynomial-time equivalence ch... | [] | Train |
39,318 | 23 | Title: Correlates of programmer efficacy and their link to experience: a combined EEG and eye-tracking study
Abstract: Background: Despite similar education and background, programmers can exhibit vast differences in efficacy. While research has identified some potential factors, such as programming experience and doma... | [
5297
] | Validation |
39,319 | 24 | Title: A Single-Loop Deep Actor-Critic Algorithm for Constrained Reinforcement Learning with Provable Convergence
Abstract: Abstract -- Deep Actor-Critic algorithms, which combine Actor-Critic with deep neural network (DNN), have been among the most prevalent reinforcement learning algorithms for decision-making proble... | [] | Train |
39,320 | 8 | Title: RoNet: Toward Robust Neural Assisted Mobile Network Configuration
Abstract: Automating configuration is the key path to achieving zero-touch network management in ever-complicating mobile networks. Deep learning techniques show great potential to automatically learn and tackle high-dimensional networking problem... | [] | Test |
39,321 | 25 | Title: Improving End-to-End Neural Diarization Using Conversational Summary Representations
Abstract: Speaker diarization is a task concerned with partitioning an audio recording by speaker identity. End-to-end neural diarization with encoder-decoder based attractor calculation (EEND-EDA) aims to solve this problem by ... | [] | Train |
39,322 | 3 | Title: Large Language Models Can Be Used To Effectively Scale Spear Phishing Campaigns
Abstract: Recent progress in artificial intelligence (AI), particularly in the domain of large language models (LLMs), has resulted in powerful and versatile dual-use systems. Indeed, cognition can be put towards a wide variety of ta... | [
33220,
21594,
13700,
4744,
24170,
36972,
25389,
10800,
13073,
27186,
20756,
58,
10749,
28575
] | Validation |
39,323 | 37 | Title: EdgeServe: A Streaming System for Decentralized Model Serving
Abstract: The relevant features for a machine learning task may be aggregated from data sources collected on different nodes in a network. This problem, which we call decentralized prediction, creates a number of interesting systems challenges in mana... | [
30950
] | Test |
39,324 | 8 | Title: A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks
Abstract: With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content generation... | [
24001,
1603,
30925,
1646,
27184,
22616,
34074,
28443,
22334
] | Test |
39,325 | 30 | Title: Identifying Informational Sources in News Articles
Abstract: News articles are driven by the informational sources journalists use in reporting. Modeling when, how and why sources get used together in stories can help us better understand the information we consume and even help journalists with the task of prod... | [
21794,
18363
] | Validation |
39,326 | 4 | Title: A Security and Usability Analysis of Local Attacks Against FIDO2
Abstract: The FIDO2 protocol aims to strengthen or replace password authentication using public-key cryptography. FIDO2 has primarily focused on defending against attacks from afar by remote attackers that compromise a password or attempt to phish ... | [] | Train |
39,327 | 30 | Title: Towards a Computational Analysis of Suspense: Detecting Dangerous Situations
Abstract: Suspense is an important tool in storytelling to keep readers engaged and wanting to read more. However, it has so far not been studied extensively in Computational Literary Studies. In this paper, we focus on one of the eleme... | [] | Train |
39,328 | 25 | Title: Fast Random Approximation of Multi-channel Room Impulse Response
Abstract: Modern neural-network-based speech processing systems are typically required to be robust against reverberation, and the training of such systems thus needs a large amount of reverberant data. During the training of the systems, on-the-fl... | [] | Train |
39,329 | 16 | Title: ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation
Abstract: Recent sparse detectors with multiple, e.g. six, decoder layers achieve promising performance but much inference time due to complex heads. Previous works have explored using dense priors as initialization an... | [] | Test |
39,330 | 26 | Title: Demystifying Misconceptions in Social Bots Research
Abstract: The science of social bots seeks knowledge and solutions to one of the most debated forms of online misinformation. Yet, social bots research is plagued by widespread biases, hyped results, and misconceptions that set the stage for ambiguities, unreal... | [
4784,
39680,
41024,
24475
] | Train |
39,331 | 24 | Title: A Survey on Oversmoothing in Graph Neural Networks
Abstract: Node features of graph neural networks (GNNs) tend to become more similar with the increase of the network depth. This effect is known as over-smoothing, which we axiomatically define as the exponential convergence of suitable similarity measures on th... | [
2656,
4929,
42306,
14184,
269,
43470,
11284,
28948,
23805,
9887
] | Test |
39,332 | 24 | Title: QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data
Abstract: Deep learning has been successfully applied to low-dose CT (LDCT) image denoising for reducing potential radiation risk. However, the widely reported supervised LDCT denoisi... | [] | Test |
39,333 | 31 | Title: The Effect of News Article Quality on Ad Consumption
Abstract: Practical news feed platforms generate a hybrid list of news articles and advertising items (e.g., products, services, or information) and many platforms optimize the position of news articles and advertisements independently. However, they should be... | [] | Train |
39,334 | 30 | Title: Effectiveness of Data Augmentation for Parameter Efficient Tuning with Limited Data
Abstract: Recent work has demonstrated that using parameter efficient tuning techniques such as prefix tuning (or P-tuning) on pretrained language models can yield performance that is comparable or superior to fine-tuning while d... | [] | Validation |
39,335 | 8 | Title: Space-Air-Ground Integrated Network (SAGIN): A Survey
Abstract: Since existing mobile communication networks may not be able to meet the low latency and high-efficiency requirements of emerging technologies and applications, novel network architectures need to be investigated to support these new requirements. A... | [
36953,
12683,
26060
] | Test |
39,336 | 16 | Title: On enhancing the robustness of Vision Transformers: Defensive Diffusion
Abstract: Privacy and confidentiality of medical data are of utmost importance in healthcare settings. ViTs, the SOTA vision model, rely on large amounts of patient data for training, which raises concerns about data security and the potenti... | [
8308,
29726,
35935
] | Test |
39,337 | 10 | Title: Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
Abstract: Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emer... | [] | Train |
39,338 | 4 | Title: Towards Automated Detection of Single-Trace Side-Channel Vulnerabilities in Constant-Time Cryptographic Code
Abstract: Although cryptographic algorithms may be mathematically secure, it is often possible to leak secret information from the implementation of the algorithms. Timing and power side-channel vulnerabi... | [] | Train |
39,339 | 16 | Title: HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
Abstract: 3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image. The facial surface is influenced by the coarse shape, as well as the static deta... | [
43781,
23638
] | Validation |
39,340 | 16 | Title: AIGC for Various Data Modalities: A Survey
Abstract: AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and other media using AI algorithms. Due to its wide range of applications and the demonstrated potential of recent works, AIGC developments have been attracting lots of attent... | [
13186,
13700,
43144,
3979,
16523,
23563,
34578,
22163,
15258,
17178,
28443,
18205,
6942,
10527,
21152,
34074,
7458,
3747,
34167,
40867,
43165,
13863,
680,
12841,
27688,
42149,
30638,
45104,
22578,
44726,
7993,
41146,
35388,
22334,
2751,
42397,
... | Test |
39,341 | 27 | Title: Evaluation of Lidar-based 3D SLAM algorithms in SubT environment
Abstract: nan | [] | Train |
39,342 | 20 | Title: A Fast Geometric Multigrid Method for Curved Surfaces
Abstract: We introduce a geometric multigrid method for solving linear systems arising from variational problems on surfaces in geometry processing, Gravo MG. Our scheme uses point clouds as a reduced representation of the levels of the multigrid hierarchy to... | [] | Train |
39,343 | 24 | Title: FLIPS: Federated Learning using Intelligent Participant Selection
Abstract: This paper presents the design and implementation of FLIPS, a middleware system to manage data and participant heterogeneity in federated learning (FL) training workloads. In particular, we examine the benefits of label distribution clus... | [
22540
] | Train |
39,344 | 28 | Title: Polynomial time key-recovery attack on high rate random alternant codes
Abstract: A long standing open question is whether the distinguisher of high rate alternant codes or Goppa codes \cite{FGOPT11} can be turned into an algorithm recovering the algebraic structure of such codes from the mere knowledge of an ar... | [
29803
] | Validation |
39,345 | 6 | Title: Using Sensor-Based Programming to Improve Self-Efficacy and Outcome Expectancy for Students from Underrepresented Groups
Abstract: Knowledge of programming and computing is becoming increasingly valuable in today's world, and thus it is crucial that students from all backgrounds have the opportunity to learn. As... | [
22071
] | Validation |
39,346 | 27 | Title: Enhancing Efficiency of Quadrupedal Locomotion over Challenging Terrains with Extensible Feet
Abstract: Recent advancements in legged locomotion research have made legged robots a preferred choice for navigating challenging terrains when compared to their wheeled counterparts. This paper presents a novel locomot... | [] | Validation |
39,347 | 27 | Title: Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot
Abstract: Reinforcement learning is still struggling with solving long-horizon surgical robot tasks which involve multiple steps over an extended duration of time due to the policy exploration challenge. Recent methods tr... | [
17466
] | Train |
39,348 | 16 | Title: Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Abstract: Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversarial attacks. However, the curr... | [
31707
] | Train |
39,349 | 30 | Title: On the Challenges of Building Datasets for Hate Speech Detection
Abstract: Detection of hate speech has been formulated as a standalone application of NLP and different approaches have been adopted for identifying the target groups, obtaining raw data, defining the labeling process, choosing the detection algori... | [
16936
] | Train |
39,350 | 24 | Title: Higher-order Sparse Convolutions in Graph Neural Networks
Abstract: Graph Neural Networks (GNNs) have been applied to many problems in computer sciences. Capturing higher-order relationships between nodes is crucial to increase the expressive power of GNNs. However, existing methods to capture these relationship... | [] | Train |
39,351 | 15 | Title: Automating Constraint-Aware Datapath Optimization using E-Graphs
Abstract: Numerical hardware design requires aggressive optimization, where designers exploit branch constraints, creating optimization opportunities that are valid only on a sub-domain of input space. We developed an RTL optimization tool that aut... | [
4168,
35613
] | Test |
39,352 | 25 | Title: Pitch Estimation by Denoising Preprocessor and Hybrid Estimation Model
Abstract: Pitch estimation is to estimate the fundamental frequency and the midi number and plays a critical role in music signal analysis and vocal signal processing. In this work, we proposed a new architecture based on a learning-based enh... | [] | Train |
39,353 | 33 | Title: Certificates for Probabilistic Pushdown Automata via Optimistic Value Iteration
Abstract: Probabilistic pushdown automata (pPDA) are a standard model for discrete probabilistic programs with procedures and recursion. In pPDA, many quantitative properties are characterized as least fixpoints of polynomial equatio... | [
32553
] | Train |
39,354 | 5 | Title: Hawk: DevOps-driven Transparency and Accountability in Cloud Native Systems
Abstract: Transparency is one of the most important principles of modern privacy regulations, such as the GDPR or CCPA. To be compliant with such regulatory frameworks, data controllers must provide data subjects with precise information... | [
37571
] | Train |
39,355 | 27 | Title: IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience
Abstract: We present IndoorSim-to-OutdoorReal (I2O), an end-to-end learned visual navigation approach, trained solely in simulated short-range indoor environments, and demonstrates zero-shot sim-to-real transfer to the outdoor... | [
33816,
23709,
710
] | Validation |
39,356 | 30 | Title: A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches
Abstract: Vector-based word representations help countless Natural Language Processing (NLP) tasks capture both semantic and syntactic regularities of the language. In this paper, we present the characteristics of existing word embedding ... | [] | Train |
39,357 | 4 | Title: Mayhem: Targeted Corruption of Register and Stack Variables
Abstract: In the past decade, many vulnerabilities were discovered in microarchitectures which yielded attack vectors and motivated the study of countermeasures. Further, architectural and physical imperfections in DRAMs led to the discovery of Rowhamme... | [
34174
] | Test |
39,358 | 16 | Title: Measuring the Success of Diffusion Models at Imitating Human Artists
Abstract: Modern diffusion models have set the state-of-the-art in AI image generation. Their success is due, in part, to training on Internet-scale data which often includes copyrighted work. This prompts questions about the extent to which th... | [] | Train |
39,359 | 2 | Title: Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming
Abstract: The concept of updating a probability distribution in the light of new evidence lies at the heart of statistics and machine learning. Pearl's and Jeffrey's rule are two natural update mechanisms which lead to different outco... | [] | Train |
39,360 | 30 | Title: T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
Abstract: Large Language Models (LLMs) have recently demonstrated exceptional performance in various Natural Language Processing (NLP) tasks. They have also shown the ability to perform chain-of... | [
37987,
33220,
12741,
13700,
5486,
6353,
27282,
9907,
6963,
6453,
21880,
45242
] | Train |
39,361 | 4 | Title: Countering the Path Explosion Problem in the Symbolic Execution of Hardware Designs
Abstract: Symbolic execution is a powerful verification tool for hardware designs, but suffers from the path explosion problem. We introduce a new approach, piecewise composition, which leverages the modular structure of hardware... | [
8998
] | Validation |
39,362 | 27 | Title: Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises
Abstract: nan | [] | Train |
39,363 | 4 | Title: A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks
Abstract: Cyber threat attribution is the process of identifying the actor of an attack incident in cyberspace. An accurate and timely threat attribution plays an ... | [] | Train |
39,364 | 16 | Title: MRSN: Multi-Relation Support Network for Video Action Detection
Abstract: Action detection is a challenging video understanding task, requiring modeling spatio-temporal and interaction relations. Current methods usually model actor-actor and actor-context relations separately, ignoring their complementarity and ... | [
21885
] | Test |
39,365 | 16 | Title: Vision Backbone Enhancement via Multi-Stage Cross-Scale Attention
Abstract: Convolutional neural networks (CNNs) and vision transformers (ViTs) have achieved remarkable success in various vision tasks. However, many architectures do not consider interactions between feature maps from different stages and scales,... | [
5878
] | Train |
39,366 | 23 | Title: TIPICAL - Type Inference for Python In Critical Accuracy Level
Abstract: Type inference methods based on deep learning are becoming increasingly popular as they aim to compensate for the drawbacks of static and dynamic analysis approaches, such as high uncertainty. However, their practical application is still d... | [] | Test |
39,367 | 16 | Title: MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition
Abstract: We present a novel approach for action recognition in UAV videos. Our formulation is designed to handle occlusion and viewpoint changes caused by the movement of a UAV. We use the concept of mut... | [
27794,
7476
] | Train |
39,368 | 27 | Title: SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments
Abstract: Semantic reasoning and dynamic planning capabilities are crucial for an autonomous agent to perform complex navigation tasks in unknown environments. It requires a large amount of common-sense knowledge, that... | [
35520,
13345,
40192,
33455,
33816,
13564,
21310
] | Train |
39,369 | 10 | Title: Neural Architecture Retrieval
Abstract: With the increasing number of new neural architecture designs and substantial existing neural architectures, it becomes difficult for the researchers to situate their contributions compared with existing neural architectures or establish the connections between their desig... | [] | Train |
39,370 | 16 | Title: MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking
Abstract: The main challenge of Multi-Object Tracking (MOT) lies in maintaining a continuous trajectory for each target. Existing methods often learn reliable motion patterns to match the same target between adjacent frames a... | [
20300,
5903,
10612,
41268,
28124,
33693
] | Train |
39,371 | 27 | Title: Distributed Multirobot Control for Non-Cooperative Herding
Abstract: In this paper, we consider the problem of protecting a high-value area from being breached by sheep agents by crafting motions for dog robots. We use control barrier functions to pose constraints on the dogs' velocities that induce repulsion in... | [
3350
] | Train |
39,372 | 15 | Title: Test Primitive: A Straightforward Method To Decouple March
Abstract: The academic community has made outstanding achievements in researching the March algorithm. However, the current fault modeling method, which centers on fault primitives, cannot be directly applied to analyzing the March algorithm. This paper ... | [] | Train |
39,373 | 16 | Title: RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget
Abstract: Learning High-Resolution representations is essential for semantic segmentation. Convolutional neural network (CNN) architectures with downstream and upstream propagation flow are popular for segm... | [] | Train |
39,374 | 33 | Title: Unboundedness problems for machines with reversal-bounded counters
Abstract: We consider a general class of decision problems concerning formal languages, called ``(one-dimensional) unboundedness predicates'', for automata that feature reversal-bounded counters (RBCA). We show that each problem in this class red... | [
19604
] | Test |
39,375 | 16 | Title: Make Your Brief Stroke Real and Stereoscopic: 3D-Aware Simplified Sketch to Portrait Generation
Abstract: Creating the photo-realistic version of people sketched portraits is useful to various entertainment purposes. Existing studies only generate portraits in the 2D plane with fixed views, making the results le... | [
11405
] | Train |
39,376 | 5 | Title: On-demand Container Loading in AWS Lambda
Abstract: AWS Lambda is a serverless event-driven compute service, part of a category of cloud compute offerings sometimes called Function-as-a-service (FaaS). When we first released AWS Lambda, functions were limited to 250MB of code and dependencies, packaged as a simp... | [] | Train |
39,377 | 24 | Title: Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering
Abstract: We propose a framework - Prompt, Generate, Train (PGT) - to efficiently develop a generative question-answering model for open-book question-answering over a proprietary colle... | [
28963,
12741,
17773,
41554,
27669,
32213,
25786,
11453
] | Train |
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