node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
23,978 | 33 | Title: Robustness Measures and Monitors for Time Window Temporal Logic
Abstract: Temporal logics (TLs) have been widely used to formalize interpretable tasks for cyber-physical systems. Time Window Temporal Logic (TWTL) has been recently proposed as a specification language for dynamical systems. In particular, it can ... | [] | Test |
23,979 | 16 | Title: Text-Only Image Captioning with Multi-Context Data Generation
Abstract: Text-only Image Captioning (TIC) is an approach that aims to construct a model solely based on text that can accurately describe images. Recently, diffusion models have demonstrated remarkable capabilities in generating high-quality images t... | [
30388,
36382
] | Train |
23,980 | 24 | Title: Offline Primal-Dual Reinforcement Learning for Linear MDPs
Abstract: Offline Reinforcement Learning (RL) aims to learn a near-optimal policy from a fixed dataset of transitions collected by another policy. This problem has attracted a lot of attention recently, but most existing methods with strong theoretical g... | [] | Train |
23,981 | 27 | Title: The $10 Million ANA Avatar XPRIZE Competition Advanced Immersive Telepresence Systems
Abstract: The $10M ANA Avatar XPRIZE aimed to create avatar systems that can transport human presence to remote locations in real time. The participants of this multi-year competition developed robotic systems that allow operat... | [
32539,
27430,
11863,
44158,
23259,
39038,
21535
] | Train |
23,982 | 24 | Title: Learning Topology-Specific Experts for Molecular Property Prediction
Abstract: Recently, graph neural networks (GNNs) have been successfully applied to predicting molecular properties, which is one of the most classical cheminformatics tasks with various applications. Despite their effectiveness, we empirically ... | [] | Train |
23,983 | 6 | Title: ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming Language Interface for Agent-based Modeling and Programming
Abstract: Building on Papert (1980)'s idea of children talking to computers, we propose ChatLogo, a hybrid natural-programming language interface for agent-based modeling and programming... | [
39466,
39547
] | Test |
23,984 | 37 | Title: Zelda: Video Analytics using Vision-Language Models
Abstract: Advances in ML have motivated the design of video analytics systems that allow for structured queries over video datasets. However, existing systems limit query expressivity, require users to specify an ML model per predicate, rely on complex optimiza... | [
2661
] | Train |
23,985 | 28 | Title: Security and Privacy in Cache-Aided Linear Function Retrieval for Multi-Access Coded Caching
Abstract: A multi-access network consisting of C caches, K users with each user having access to unique set of r caches has been introduced recently. It considers Single File Retrieval (SFR) i.e, each user demands an arb... | [] | Train |
23,986 | 16 | Title: Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization
Abstract: While the use of artificial intelligence (AI) for medical image analysis is gaining wide acceptance, the expertise, time and cost required to generate annotated data in the medical field are significantly hi... | [] | Train |
23,987 | 6 | Title: Increasing Well-being through Robotic Hugs
Abstract: This paper addresses the question of how to increase the acceptability of a robot hug and whether such a hug contributes to well-being. It combines the lead author's own research with pioneering research by Alexis E. Block and Katherine J. Kuchenbecker. First,... | [] | Train |
23,988 | 16 | Title: Scene-Generalizable Interactive Segmentation of Radiance Fields
Abstract: Existing methods for interactive segmentation in radiance fields entail scene-specific optimization and thus cannot generalize across different scenes, which greatly limits their applicability. In this work we make the first attempt at Sce... | [
9599
] | Train |
23,989 | 16 | Title: Semantic-Aware Implicit Template Learning via Part Deformation Consistency
Abstract: Learning implicit templates as neural fields has recently shown impressive performance in unsupervised shape correspondence. Despite the success, we observe current approaches, which solely rely on geometric information, often l... | [] | Train |
23,990 | 27 | Title: Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics
Abstract: Motion planning has been an important research topic in achieving safe and flexible maneuvers for intelligent vehicles. However, it remains challenging to realize efficient and optimal planning in the presence ... | [
30577
] | Validation |
23,991 | 16 | Title: Supervised Homography Learning with Realistic Dataset Generation
Abstract: In this paper, we propose an iterative framework, which consists of two phases: a generation phase and a training phase, to generate realistic training data and yield a supervised homography network. In the generation phase, given an unla... | [
44851
] | Train |
23,992 | 16 | Title: CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset
Abstract: We present a CNN-BiLSTM system for the problem of offline English handwriting recognition, with extensive evaluations on the public IAM dataset, including the effects of model size, data augmentation and t... | [] | Validation |
23,993 | 16 | Title: Artificial Eye for the Blind
Abstract: The main backbone of our Artificial Eye model is the Raspberry pi3 which is connected to the webcam ,ultrasonic proximity sensor, speaker and we also run all our software models i.e object detection, Optical Character recognition, google text to speech conversion and the My... | [] | Validation |
23,994 | 24 | Title: Multi-field Visualisation via Trait-induced Merge Trees
Abstract: In this work, we propose trait-based merge trees a generalization of merge trees to feature level sets, targeting the analysis of tensor field or general multi-variate data. For this, we employ the notion of traits defined in attribute space as in... | [
36621
] | Validation |
23,995 | 16 | Title: Fast and Accurate Object Detection on Asymmetrical Receptive Field
Abstract: Object detection has been used in a wide range of industries. For example, in autonomous driving, the task of object detection is to accurately and efficiently identify and locate a large number of predefined classes of object instances... | [] | Train |
23,996 | 4 | Title: Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting
Abstract: Due to an increase in the availability of cheap off-the-shelf radio hardware, spoofing and replay attacks on satellite ground systems have become more accessible than ever. This is particularly a problem for... | [] | Validation |
23,997 | 6 | Title: Heads-Up Computing: Moving Beyond the Device-Centered Paradigm
Abstract: This article introduces our vision for a new interaction paradigm: Heads-Up Computing, a concept involving the provision of seamless computing support for daily activities. Its synergistic and user-centric approach frees humans from common ... | [] | Train |
23,998 | 4 | Title: VulLibGen: Identifying Vulnerable Third-Party Libraries via Generative Pre-Trained Model
Abstract: To avoid potential risks posed by vulnerabilities in third-party libraries, security researchers maintain vulnerability databases (e.g., NVD) containing vulnerability reports, each of which records the description ... | [
41409,
30786,
32450,
13700,
13990,
31153,
6111
] | Validation |
23,999 | 16 | Title: ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning
Abstract: Diffusion models are generative models that have shown significant advantages compared to other generative models in terms of higher generation quality and more stable training. However, the computational need for training diffu... | [] | Train |
24,000 | 10 | Title: GPU-accelerated matrix cover algorithm for multiple patterning layout decomposition
Abstract: Multiple patterning lithography (MPL) is regarded as one of the most promising ways of overcoming the resolution limitations of conventional optical lithography due to the delay of next-generation lithography technology... | [
24472,
44394
] | Train |
24,001 | 10 | Title: Guiding AI-Generated Digital Content with Wireless Perception
Abstract: Recent advances in artificial intelligence (AI), coupled with a surge in training data, have led to the widespread use of AI for digital content generation, with ChatGPT serving as a representative example. Despite the increased efficiency a... | [
39324,
30925
] | Validation |
24,002 | 25 | Title: A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation
Abstract: Virtual humans have gained considerable attention in numerous industries, e.g., entertainment and e-commerce. As a core technology, synthesizing photorealistic face frames from target speech and facial identity has been... | [] | Validation |
24,003 | 30 | Title: Multilingual Tourist Assistance using ChatGPT: Comparing Capabilities in Hindi, Telugu, and Kannada
Abstract: This research investigates the effectiveness of ChatGPT, an AI language model by OpenAI, in translating English into Hindi, Telugu, and Kannada languages, aimed at assisting tourists in India's linguisti... | [
38849,
24524
] | Train |
24,004 | 4 | Title: A GDPR-compliant Risk Management Approach based on Threat Modelling and ISO 27005
Abstract: Computer systems process, store and transfer sensitive information which makes them a valuable asset. Despite the existence of standards such as ISO 27005 for managing information risk, cyber threats are increasing, expos... | [] | Validation |
24,005 | 27 | Title: GIRA: Gaussian Mixture Models for Inference and Robot Autonomy
Abstract: Large-scale deployments of robot teams are challenged by the need to share high-resolution perceptual information over low-bandwidth communication channels. Individual size, weight, and power constrained robots rely on environment models to... | [
11953,
7007
] | Train |
24,006 | 4 | Title: Automated Machine Learning for Deep Learning based Malware Detection
Abstract: Deep learning (DL) has proven to be effective in detecting sophisticated malware that is constantly evolving. Even though deep learning has alleviated the feature engineering problem, finding the most optimal DL model, in terms of neu... | [
28888,
12431
] | Train |
24,007 | 13 | Title: Investigating the generative dynamics of energy-based neural networks
Abstract: Generative neural networks can produce data samples according to the statistical properties of their training distribution. This feature can be used to test modern computational neuroscience hypotheses suggesting that spontaneous bra... | [] | Train |
24,008 | 16 | Title: CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Abstract: Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well studied for image classification, the literature o... | [
40451,
11259,
28864
] | Train |
24,009 | 24 | Title: Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point
Abstract: Exploratory data analysis (EDA) is a vital procedure for data science projects. In this work, we introduce a stable equilibrium point (SEP) - based framework for improving the efficiency and solution quality of EDA. B... | [
10298
] | Test |
24,010 | 1 | Title: Multimedia Distribution Process Tracking for Android and iOS
Abstract: The crime of illegally filming and distributing images or videos worldwide is increasing day by day. With the increasing penetration rate of smartphones, there has been a rise in crimes involving secretly taking pictures of people's bodies an... | [] | Train |
24,011 | 24 | Title: Domain-Aware Augmentations for Unsupervised Online General Continual Learning
Abstract: Continual Learning has been challenging, especially when dealing with unsupervised scenarios such as Unsupervised Online General Continual Learning (UOGCL), where the learning agent has no prior knowledge of class boundaries ... | [
42308,
37156
] | Train |
24,012 | 16 | Title: Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations
Abstract: Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and natural head poses) corresponding to the... | [
8424
] | Train |
24,013 | 13 | Title: Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas
Abstract: We present a simple, sample-efficient algorithm for introducing large but directed learning steps in reinforcement learning (RL), through the use of evolutionary operators. The methodology uses a population of RL agents ... | [] | Train |
24,014 | 31 | Title: Doc2Query-: When Less is More
Abstract: Doc2Query -- the process of expanding the content of a document before indexing using a sequence-to-sequence model -- has emerged as a prominent technique for improving the first-stage retrieval effectiveness of search engines. However, sequence-to-sequence models are know... | [
31905,
4627,
7477
] | Train |
24,015 | 24 | Title: Validation of massively-parallel adaptive testing using dynamic control matching
Abstract: A/B testing is a widely-used paradigm within marketing optimization because it promises identification of causal effects and because it is implemented out of the box in most messaging delivery software platforms. Modern bu... | [] | Test |
24,016 | 30 | Title: Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking
Abstract: Pre-trained language models (PLMs) have proven to be effective for document re-ranking task. However, they lack the ability to fully interpret the semantics of biomedical and health-care queries and often rely on ... | [] | Train |
24,017 | 16 | Title: Neural 3D Scene Reconstruction from Multiple 2D Images without 3D Supervision
Abstract: Neural 3D scene reconstruction methods have achieved impressive performance when reconstructing complex geometry and low-textured regions in indoor scenes. However, these methods heavily rely on 3D data which is costly and ti... | [] | Train |
24,018 | 27 | Title: RGB-D Grasp Detection via Depth Guided Learning with Cross-modal Attention
Abstract: Planar grasp detection is one of the most fundamental tasks to robotic manipulation, and the recent progress of consumer-grade RGB-D sensors enables delivering more comprehensive features from both the texture and shape modaliti... | [] | Validation |
24,019 | 30 | Title: Analyzing Text Representations by Measuring Task Alignment
Abstract: Textual representations based on pre-trained language models are key, especially in few-shot learning scenarios. What makes a representation good for text classification? Is it due to the geometric properties of the space or because it is well ... | [] | Train |
24,020 | 24 | Title: A Survey on Dataset Distillation: Approaches, Applications and Future Directions
Abstract: Dataset distillation is attracting more attention in machine learning as training sets continue to grow and the cost of training state-of-the-art models becomes increasingly high. By synthesizing datasets with high informa... | [
45104,
16705
] | Test |
24,021 | 30 | Title: Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative
Abstract: Dialog policies, which determine a system's action based on the current state at each dialog turn, are crucial to the success of the dialog. In recent years, reinforcement learning (RL) h... | [] | Train |
24,022 | 30 | Title: Language Models Meet World Models: Embodied Experiences Enhance Language Models
Abstract: While large language models (LMs) have shown remarkable capabilities across numerous tasks, they often struggle with simple reasoning and planning in physical environments, such as understanding object permanence or plannin... | [
33220,
13700,
33477,
30472,
21485,
7470,
21880,
25433,
634
] | Test |
24,023 | 5 | Title: Can Orbital Servers Provide Mars-Wide Edge Computing?
Abstract: Human landing, exploration and settlement on Mars will require local compute resources at the Mars edge. Landing such resources on Mars is an expensive endeavor. Instead, in this paper we lay out how concepts from low-Earth orbit edge computing may ... | [
14180,
5038
] | Validation |
24,024 | 7 | Title: A Convex Formulation of Frictional Contact Between Rigid and Deformable Bodies
Abstract: We present a novel convex formulation that models rigid and deformable bodies coupled through frictional contact. The formulation incorporates a new corotational material model with positive semi-definite Hessian, which allo... | [] | Test |
24,025 | 24 | Title: Near-Optimal High-Probability Convergence for Non-Convex Stochastic Optimization with Variance Reduction
Abstract: Traditional analyses for non-convex stochastic optimization problems characterize convergence bounds in expectation, which is inadequate as it does not supply a useful performance guarantee on a sin... | [] | Test |
24,026 | 24 | Title: Topological Understanding of Neural Networks, a survey
Abstract: We look at the internal structure of neural networks which is usually treated as a black box. The easiest and the most comprehensible thing to do is to look at a binary classification and try to understand the approach a neural network takes. We re... | [] | Validation |
24,027 | 24 | Title: Unconstrained Online Learning with Unbounded Losses
Abstract: Algorithms for online learning typically require one or more boundedness assumptions: that the domain is bounded, that the losses are Lipschitz, or both. In this paper, we develop a new setting for online learning with unbounded domains and non-Lipsch... | [
37384
] | Test |
24,028 | 36 | Title: Auction Design for Value Maximizers with Budget and Return-on-spend Constraints
Abstract: The paper designs revenue-maximizing auction mechanisms for agents who aim to maximize their total obtained values rather than the classical quasi-linear utilities. Several models have been proposed to capture the behaviors... | [] | Test |
24,029 | 28 | Title: Age-Aware Gossiping in Network Topologies
Abstract: We consider a fully-connected wireless gossip network which consists of a source and $n$ receiver nodes. The source updates itself with a Poisson process and also sends updates to the nodes as Poisson arrivals. Upon receiving the updates, the nodes update their... | [
40142,
19911
] | Train |
24,030 | 28 | Title: Deep Unfolding-Based Channel Estimation for Wideband TeraHertz Near-Field Massive MIMO Systems
Abstract: The combination of Terahertz (THz) and massive multiple-input multiple-output (MIMO) is promising to meet the increasing data rate demand of future wireless communication systems thanks to the huge bandwidth ... | [
41422
] | Validation |
24,031 | 34 | Title: Asynchronous Collective Tree Exploration by Tree-Mining
Abstract: We investigate the problem of collaborative tree exploration with complete communication introduced by [FGKP06], in which a group of $k$ agents is assigned to collectively go through all edges of an unknown tree in an efficient manner and then ret... | [
44527
] | Test |
24,032 | 29 | Title: Shirac: A linear algebra for event-based system modeling
Abstract: Digital signal theory is an extension of the analysis of continuous signals. This extension is provided by discretization and sampling. The sampling of signals can be mathematically described by a series of Dirac impulses and is well known. Prope... | [] | Train |
24,033 | 30 | Title: Did You Mean...? Confidence-based Trade-offs in Semantic Parsing
Abstract: We illustrate how a calibrated model can help balance common trade-offs in task-oriented parsing. In a simulated annotator-in-the-loop experiment, we show that well-calibrated confidence scores allow us to balance cost with annotator load... | [
43019
] | Validation |
24,034 | 37 | Title: Reconstructing Spatiotemporal Data with C-VAEs
Abstract: nan | [] | Validation |
24,035 | 24 | Title: One-shot Empirical Privacy Estimation for Federated Learning
Abstract: Privacy estimation techniques for differentially private (DP) algorithms are useful for comparing against analytical bounds, or to empirically measure privacy loss in settings where known analytical bounds are not tight. However, existing pri... | [
8578,
15495,
12296,
20663,
23326
] | Validation |
24,036 | 27 | Title: Control- & Task-Aware Optimal Design of Actuation System for Legged Robots using Binary Integer Linear Programming
Abstract: Athletic robots demand a whole-body actuation system design that utilizes motors up to the boundaries of their performance. However, creating such robots poses challenges of integrating de... | [] | Validation |
24,037 | 16 | Title: Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection
Abstract: Scene text detection is a challenging computer vision task due to the high variation in text shapes and ratios. In this work, we propose a scene text detector named Deformable Kernel Expansion (DKE), which incorporate... | [] | Train |
24,038 | 16 | Title: Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
Abstract: Make-up temporal video grounding (MTVG) aims to localize the target video segment which is semantically related to a sentence describing a make-up activity, given a long video. Compared with the general video grounding task, MTVG ... | [
11120
] | Validation |
24,039 | 16 | Title: Randomized 3D Scene Generation for Generalizable Self-supervised Pre-training
Abstract: Capturing and labeling real-world 3D data is laborious and time-consuming, which makes it costly to train strong 3D models. To address this issue, recent works present a simple method by generating randomized 3D scenes withou... | [
42666,
8703
] | Train |
24,040 | 28 | Title: Distributed Video Coding Based on Polar Codes
Abstract: In this letter we present an improved distributed video coding (DVC) scheme based on polar coding techniques. Firstly, we adapt log-likelihood ratios (LLRs) for DVC with integer implementation of a discrete cosine transform (DCT). We propose a computational... | [] | Test |
24,041 | 24 | Title: Toward Robust Uncertainty Estimation with Random Activation Functions
Abstract: Deep neural networks are in the limelight of machine learning with their excellent performance in many data-driven applications. However, they can lead to inaccurate predictions when queried in out-of-distribution data points, which ... | [] | Train |
24,042 | 24 | Title: Curriculum-Based Imitation of Versatile Skills
Abstract: Learning skills by imitation is a promising concept for the intuitive teaching of robots. A common way to learn such skills is to learn a parametric model by maximizing the likelihood given the demonstrations. Yet, human demonstrations are often multi-moda... | [] | Train |
24,043 | 8 | Title: A Versatile Wireless Network Protocol for Spectrum Sharing with Passive Radio Services
Abstract: With the proliferation of wideband active services in bands shared with passive receivers for remote sensing and radio astronomy, new methods are needed for deconflicting active and passive users. We have developed a... | [] | Validation |
24,044 | 8 | Title: The Human Blockage Impact on ARIS Assisted D2D Communication Systems
Abstract: Aerial reconfigurable intelligent surface (ARIS), is an intelligent reflecting surface (IRS) mounted by unmanned aerial vehicle (UAV), represents a promising candidate for assisting device to device (D2D) millimeter wave (mmWave) comm... | [] | Train |
24,045 | 24 | Title: JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
Abstract: This work proposes ``jointly amortized neural approximation'' (JANA) of intractable likelihood functions and posterior densities arising in Bayesian surrogate modeling and simulation-based inference. We train three complementary ne... | [
45168,
19803
] | Train |
24,046 | 23 | Title: API Entity and Relation Joint Extraction from Text via Dynamic Prompt-tuned Language Model
Abstract: Extraction of Application Programming Interfaces (APIs) and their semantic relations from unstructured text (e.g., Stack Overflow) is a fundamental work for software engineering tasks (e.g., API recommendation). ... | [
42024,
41106
] | Train |
24,047 | 24 | Title: Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Abstract: Class-incremental learning (CIL) aims to adapt to emerging new classes without forgetting old ones. Traditional CIL models are trained from scratch to continually acquire knowledge as data ev... | [
13831,
7175,
45354,
40086,
14618,
31037
] | Train |
24,048 | 30 | Title: Logically at Factify 2023: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture
Abstract: In this paper, we present the Logically submissions to De-Factify 2 challenge (DE-FACTIFY 2023) on the task 1 of Multi-Modal Fact Checking. We describes our submissi... | [
19864,
18692
] | Train |
24,049 | 30 | Title: Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start
Abstract: News sources undergo the process of selecting newsworthy information when covering a certain topic. The process inevitably exhibits selection biases, i.e. news sources' typical patt... | [] | Train |
24,050 | 16 | Title: Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
Abstract: —In this paper, we study the problem of embedding the high-dimensional spatio-spectral information of hyperspectral (HS) images efficiently and effectively, oriented by feature diversity. To be specific, based on the theoretical formu... | [] | Train |
24,051 | 24 | Title: When a CBR in Hand Better than Twins in the Bush
Abstract: AI methods referred to as interpretable are often discredited as inaccurate by supporters of the existence of a trade-off between interpretability and accuracy. In many problem contexts however this trade-off does not hold. This paper discusses a regress... | [] | Train |
24,052 | 6 | Title: What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education
Abstract: nan | [] | Train |
24,053 | 30 | Title: Retrieving Multimodal Information for Augmented Generation: A Survey
Abstract: In this survey, we review methods that retrieve multimodal knowledge to assist and augment generative models. This group of works focuses on retrieving grounding contexts from external sources, including images, codes, tables, graphs,... | [
7936,
10624,
15628,
44050,
15004,
6942,
30243,
19626,
16811,
10165,
34872,
33464,
45242,
20169,
29521,
27090,
7125,
12128,
15467,
634,
13564
] | Train |
24,054 | 4 | Title: Split Unlearning
Abstract: Split learning is emerging as a powerful approach to decentralized machine learning, but the urgent task of unlearning to address privacy issues presents significant challenges. Conventional methods of retraining from scratch or gradient ascending require all clients' involvement, incu... | [
35555
] | Train |
24,055 | 8 | Title: Advancing O-RAN to Facilitate Intelligence in V2X
Abstract: Vehicular communications at high frequencies are envisioned to be a breakthrough application for the 6G cellular systems. Traditional Radio Access Networks (RANs) lack the flexibility to enable sophisticated control mechanisms that are demanded by the s... | [
17079
] | Train |
24,056 | 27 | Title: Predictive Fault Tolerance for Autonomous Robot Swarms
Abstract: Active fault tolerance is essential for robot swarms to retain long-term autonomy. Previous work on swarm fault tolerance focuses on reacting to electro-mechanical faults that are spontaneously injected into robot sensors and actuators. Resolving f... | [] | Train |
24,057 | 16 | Title: STRAP: Structured Object Affordance Segmentation with Point Supervision
Abstract: With significant annotation savings, point supervision has been proven effective for numerous 2D and 3D scene understanding problems. This success is primarily attributed to the structured output space; i.e., samples with high spat... | [
42961,
27782,
15743
] | Train |
24,058 | 24 | Title: Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
Abstract: We consider the problem of learning the best possible policy from a fixed dataset, known as offline Reinforcement Learning (RL). A common taxonomy of existing offline RL works is policy regularization, which typically cons... | [] | Train |
24,059 | 24 | Title: Exploring Geometric Deep Learning For Precipitation Nowcasting
Abstract: Precipitation nowcasting (up to a few hours) remains a challenge due to the highly complex local interactions that need to be captured accurately. Convolutional Neural Networks rely on convolutional kernels convolving with grid data and the... | [] | Train |
24,060 | 4 | Title: MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications
Abstract: Due to its security, transparency, and flexibility in verifying virtual assets, blockchain has been identified as one of the key technologies for Metaverse. Unfortunately, blockchain-based Metaverse faces serious challenges such... | [
7923
] | Train |
24,061 | 10 | Title: Advancements in Federated Learning: Models, Methods, and Privacy
Abstract: Federated learning (FL) is a promising technique for addressing the rising privacy and security issues. Its main ingredient is to cooperatively learn the model among the distributed clients without uploading any sensitive data. In this pa... | [
739,
40660,
29174
] | Train |
24,062 | 23 | Title: Reusability Challenges of Scientific Workflows: A Case Study for Galaxy
Abstract: Scientific workflow has become essential in software engineering because it provides a structured approach to designing, executing, and analyzing scientific experiments. Software developers and researchers have developed hundreds o... | [] | Train |
24,063 | 27 | Title: Powder-Bot: A Modular Autonomous Multi-Robot Workflow for Powder X-Ray Diffraction
Abstract: Powder X-ray diffraction (PXRD) is a key technique for the structural characterisation of solid-state materials, but compared with tasks such as liquid handling, its end-to-end automation is highly challenging. This is b... | [] | Train |
24,064 | 28 | Title: Greedy Poisson Rejection Sampling
Abstract: One-shot channel simulation is a fundamental data compression problem concerned with encoding a single sample from a target distribution $Q$ using a coding distribution $P$ using as few bits as possible on average. Algorithms that solve this problem find applications i... | [
34024,
42513,
34463
] | Validation |
24,065 | 16 | Title: Improving Classification of Retinal Fundus Image Using Flow Dynamics Optimized Deep Learning Methods
Abstract: Diabetic Retinopathy (DR) refers to a barrier that takes place in diabetes mellitus damaging the blood vessel network present in the retina. This may endanger the subjects' vision if they have diabetes.... | [
5154,
25547,
28036
] | Validation |
24,066 | 27 | Title: 3D Laser-and-tissue Agnostic Data-driven Method for Robotic Laser Surgical Planning
Abstract: In robotic laser surgery, shape prediction of an one-shot ablation cavity is an important problem for minimizing errant overcutting of healthy tissue during the course of pathological tissue resection and precise tumor ... | [] | Train |
24,067 | 8 | Title: PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search
Abstract: The wide application of pre-trained models is driving the trend of once-for-all training in one-shot neural architecture search (NAS). However, training within a huge sample space damages the performance of individual subn... | [
13809
] | Validation |
24,068 | 24 | Title: PMaF: Deep Declarative Layers for Principal Matrix Features
Abstract: We explore two differentiable deep declarative layers, namely least squares on sphere (LESS) and implicit eigen decomposition (IED), for learning the principal matrix features (PMaF). It can be used to represent data features with a low-dimens... | [] | Train |
24,069 | 24 | Title: Universal Online Optimization in Dynamic Environments via Uniclass Prediction
Abstract: Recently, several universal methods have been proposed for online convex optimization which can handle convex, strongly convex and exponentially concave cost functions simultaneously. However, most of these algorithms have be... | [] | Train |
24,070 | 28 | Title: Outage Performance of Fluid Antenna System (FAS)-aided Terahertz Communication Networks
Abstract: Millimeter-wave networks have already been successfully rolled out in many countries and now the research direction heads toward new technologies and standards to enable Tbps rates for future sixth-generation (6G) w... | [
20820,
39447
] | Test |
24,071 | 30 | Title: A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction
Abstract: We consider dyadic zero-shot event extraction (EE) to identify actions between pairs of actors. The \emph{zero-shot} setting allows social scientists or other non-computational researchers to extract any customized, use... | [
44189,
24422
] | Test |
24,072 | 4 | Title: POEM: Proof of Entropy Minima
Abstract: Nakamoto consensus has been incredibly influential in enabling robust blockchain systems, and one of its components is the so-called heaviest chain rule (HCR). Within this rule, the calculation of the weight of the chain tip is performed by adding the difficulty threshold ... | [] | Train |
24,073 | 10 | Title: A Review on Machine Theory of Mind
Abstract: Theory of Mind (ToM) is the ability to attribute mental states to others, the basis of human cognition. At present, there has been growing interest in the AI with cognitive abilities, for example in healthcare and the motoring industry. Beliefs, desires, and intention... | [] | Test |
24,074 | 16 | Title: SAM-IQA: Can Segment Anything Boost Image Quality Assessment?
Abstract: Image Quality Assessment (IQA) is a challenging task that requires training on massive datasets to achieve accurate predictions. However, due to the lack of IQA data, deep learning-based IQA methods typically rely on pre-trained networks tra... | [
304,
37016,
44903
] | Validation |
24,075 | 30 | Title: A Group-Specific Approach to NLP for Hate Speech Detection
Abstract: Automatic hate speech detection is an important yet complex task, requiring knowledge of common sense, stereotypes of protected groups, and histories of discrimination, each of which may constantly evolve. In this paper, we propose a group-spec... | [] | Train |
24,076 | 23 | Title: Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
Abstract: Developing effective learning systems for Machine Learning (ML) applications in the Neuromorphic (NM) field requires extensive experimentation and simulation. Software frameworks aid and ease this process by ... | [
29459
] | Train |
24,077 | 31 | Title: Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Abstract: Recent popularity surrounds large AI language models due to their impressive natural language capabilities. They contribute significantly to language-related tasks, including prompt-based learning, making them valuable for various specific... | [
13700,
9403,
24141,
43566,
27281,
29396,
25748,
12251,
35580,
6942
] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.