node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
32,578 | 4 | Title: BlockChain I/O: Enabling Cross-Chain Commerce
Abstract: By enabling users to safely transfer digital tokens without trusted intermediaries, blockchains have fueled the rise of Decentralized Finance (DeFi). However, the current DeFi ecosystem consists of multiple independent blockchains, and cross-chain token tra... | [
32337,
8427,
12511
] | Validation |
32,579 | 28 | Title: Orthogonal and Non-Orthogonal Multiple Access for Intelligent Reflection Surface in 6G Systems
Abstract: Intelligent reflecting surface (IRS) is envisioned to become a key technology for the upcoming six-generation (6G) wireless system due to its potential of reaping high performance in a power-efficient and cos... | [
32620,
1684
] | Train |
32,580 | 7 | Title: Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking
Abstract: The ultimate goal of studying the magnetopause position is to accurately determine its location. Both traditional empirical computation methods and the currently popular machine learning approaches have shown promis... | [] | Train |
32,581 | 11 | Title: Promoting Non-Cooperation Through Ordering
Abstract: In many real world situations, like minor traffic offenses in big cities, a central authority is tasked with periodic administering punishments to a large number of individuals. Common practice is to give each individual a chance to suffer a smaller fine and b... | [] | Train |
32,582 | 28 | Title: Fundamental Limits of Distributed Linearly Separable Computation under Cyclic Assignment
Abstract: Distributed Linearly Separable Computation problem under the cyclic assignment is studied in this paper. It is a problem widely existing in cooperated distributed gradient coding, real-time rendering, linear transf... | [] | Train |
32,583 | 7 | Title: NN-EVP: A physics informed neural network-based elasto-viscoplastic framework for predictions of grain size-aware flow response under large deformations
Abstract: We propose a physics informed, neural network-based elasto-viscoplasticity (NN-EVP) constitutive modeling framework for predicting the flow response i... | [
35782
] | Test |
32,584 | 6 | Title: Combining Automatic Coding and Instructor Input to Generate ENA Visualizations for Asynchronous Online Discussion
Abstract: Asynchronous online discussions are a common fundamental tool to facilitate social interaction in hybrid and online courses. However, instructors lack the tools to accomplish the overwhelmi... | [
8372
] | Train |
32,585 | 5 | Title: Time Complexity of Broadcast and Consensus for Randomized Oblivious Message Adversaries
Abstract: Broadcast and consensus are most fundamental tasks in distributed computing. These tasks are particularly challenging in dynamic networks where communication across the network links may be unreliable, e.g., due to ... | [] | Test |
32,586 | 20 | Title: The Complexity of Geodesic Spanners
Abstract: A geometric $t$-spanner for a set $S$ of $n$ point sites is an edge-weighted graph for which the (weighted) distance between any two sites $p,q \in S$ is at most $t$ times the original distance between $p$ and $q$. We study geometric $t$-spanners for point sets in a ... | [] | Test |
32,587 | 16 | Title: Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Abstract: Recent research has explored the utilization of pre-trained text-image discriminative models, such as CLIP, to tackle the challenges associated with open-vocabulary semantic segmentation. However, it is worth noting that the... | [
20645,
37254,
8234,
23021,
42221,
5807,
41273,
15132
] | Validation |
32,588 | 24 | Title: Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
Abstract: Meta-learning owns unique effectiveness and swiftness in tackling emerging tasks with limited data. Its broad applicability is revealed by viewing it as a bi-level optimization problem. The resultant algorithmic viewpoint however, f... | [] | Train |
32,589 | 27 | Title: Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones
Abstract: Nano-sized drones, with palm-sized form factor, are gaining relevance in the Internet-of-Things ecosystem. Achieving a high degree of autonomy for complex multi-objective missions (e.g., safe flight, exploration... | [
20368
] | Train |
32,590 | 16 | Title: Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection
Abstract: Change detection is a widely adopted technique in remote sense imagery (RSI) analysis in the discovery of long-term geomorphic evolution. To highlight the areas of semantic changes, previous effort mo... | [] | Train |
32,591 | 10 | Title: ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
Abstract: In recent years, badminton analytics has drawn attention due to the advancement of artificial intelligence and the efficiency of data collection. While there is a line of effective applications to improve and investigate ... | [
1219,
44357,
15925
] | Train |
32,592 | 4 | Title: AI-Driven Container Security Approaches for 5G and Beyond: A Survey
Abstract: The rising use of microservice-based software deployment on the cloud leverages containerized software extensively. The security of applications running inside containers, as well as the container environment itself, are critical for i... | [] | Train |
32,593 | 27 | Title: Data-Based MHE for Agile Quadrotor Flight
Abstract: This paper develops a data-based moving horizon estimation (MHE) method for agile quadrotors. Accurate state estimation of the system is paramount for precise trajectory control for agile quadrotors; however, the high level of aerodynamic forces experienced by ... | [] | Train |
32,594 | 16 | Title: Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
Abstract: Unsupervised out-of-distribution detection (OOD) seeks to identify out-of-domain data by learning only from unlabeled in-domain data. We present a novel approach for this task - Lift, Map, Detect (LMD) - that leverages recent advancem... | [] | Train |
32,595 | 24 | Title: 3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Abstract: Pretraining molecular representations from large unlabeled data is essential for molecular property prediction due to the high cost of obtaining ground-truth labels. While there exist various 2D graph-ba... | [] | Train |
32,596 | 28 | Title: On the Lift, Related Privacy Measures, and Applications to Privacy–Utility Trade-Offs
Abstract: This paper investigates lift, the likelihood ratio between the posterior and prior belief about sensitive features in a dataset. Maximum and minimum lifts over sensitive features quantify the adversary’s knowledge gai... | [] | Train |
32,597 | 23 | Title: Context-Encoded Code Change Representation for Automated Commit Message Generation
Abstract: Changes in source code are an inevitable part of software development. They are the results of indispensable activities such as fixing bugs or improving functionality. Descriptions for code changes (commit messages) help... | [
22624,
28452
] | Train |
32,598 | 4 | Title: NTT-Based Polynomial Modular Multiplication for Homomorphic Encryption: A Tutorial
Abstract: Homomorphic Encryption (HE) allows any third party to operate on the encrypted data without decrypting it in advance. For the majority of HE schemes, the multiplicative depth of circuits is the main practical limitation ... | [
22911
] | Train |
32,599 | 30 | Title: Exploring Sentiment Analysis Techniques in Natural Language Processing: A Comprehensive Review
Abstract: Sentiment analysis (SA) is the automated process of detecting and understanding the emotions conveyed through written text. Over the past decade, SA has gained significant popularity in the field of Natural L... | [] | Train |
32,600 | 16 | Title: ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
Abstract: The integration of Computer-Assisted Diagnosis (CAD) with Large Language Models (LLMs) holds great potential in clinical applications, specifically in the roles of virtual family doctors and clinic assistants. However, current works ... | [
10624,
13700,
31218,
24756,
3609,
3454,
11199
] | Validation |
32,601 | 16 | Title: Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
Abstract: Text-to-3D generation has recently garnered significant attention, fueled by 2D diffusion models trained on billions of image-text pairs. Existing methods primarily rely on score distillation to leverage t... | [
27426,
3912,
2860,
11820,
15983,
40888,
34074
] | Train |
32,602 | 27 | Title: SafeSteps: Learning Safer Footstep Planning Policies for Legged Robots via Model-Based Priors
Abstract: We present a footstep planning policy for quadrupedal locomotion that is able to directly take into consideration a-priori safety information in its decisions. At its core, a learning process analyzes terrain ... | [
35504
] | Train |
32,603 | 16 | Title: Few-shot Class-incremental Pill Recognition
Abstract: The automatic pill recognition system is of great significance in improving the efficiency of the hospital, helping people with visual impairment, and avoiding cross-infection. However, most existing pill recognition systems based on deep learning can merely ... | [
41381
] | Test |
32,604 | 23 | Title: Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Abstract: We evaluate the use of the open-source Llama-2 model for generating well-known, high-performance computing kernels (e.g., AXPY, GEMV, GEMM) on different parallel programming models and languages (e.g., C++: OpenMP, OpenMP Offload, OpenACC, CUD... | [
37700,
13418,
44180,
43641,
2845
] | Train |
32,605 | 8 | Title: VertiSync: A Traffic Management Policy with Maximum Throughput for On-Demand Urban Air Mobility Networks
Abstract: Urban Air Mobility (UAM) offers a solution to current traffic congestion by providing on-demand air mobility in urban areas. Effective traffic management is crucial for efficient operation of UAM sy... | [] | Train |
32,606 | 6 | Title: DOMINO: Visual Causal Reasoning with Time-Dependent Phenomena
Abstract: Current work on using visual analytics to determine causal relations among variables has mostly been based on the concept of counterfactuals. As such the derived static causal networks do not take into account the effect of time as an indica... | [
11510
] | Validation |
32,607 | 24 | Title: Optimization Methods in Deep Learning: A Comprehensive Overview
Abstract: In recent years, deep learning has achieved remarkable success in various fields such as image recognition, natural language processing, and speech recognition. The effectiveness of deep learning largely depends on the optimization methods... | [
11653
] | Train |
32,608 | 24 | Title: torchosr - a PyTorch extension package for Open Set Recognition models evaluation in Python
Abstract: The article presents the torchosr package - a Python package compatible with PyTorch library - offering tools and methods dedicated to Open Set Recognition in Deep Neural Networks. The package offers two state-o... | [] | Train |
32,609 | 4 | Title: Security of Electrical, Optical and Wireless On-Chip Interconnects: A Survey
Abstract: The advancement of manufacturing technologies has enabled the integration of more intellectual property (IP) cores on the same system-on-chip (SoC). Scalable and high throughput on-chip communication architecture has become a ... | [] | Train |
32,610 | 24 | Title: PMU measurements based short-term voltage stability assessment of power systems via deep transfer learning
Abstract: Deep learning has emerged as an effective solution for addressing the challenges of short-term voltage stability assessment (STVSA) in power systems. However, existing deep learning-based STVSA ap... | [] | Train |
32,611 | 16 | Title: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
Abstract: In this paper, we propose a long-sequence modeling framework, named StreamPETR, for multi-view 3D object detection. Built upon the sparse query design in the PETR series, we systematically develop an object-centric ... | [
21381,
41765,
45578,
17484,
34098,
5141,
34074
] | Validation |
32,612 | 24 | Title: Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Abstract: Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioning instrument capabilities... | [] | Validation |
32,613 | 24 | Title: Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
Abstract: Discovering evolutionary traits that are heritable across species on the tree of life (also referred to as a phylogenetic tree) is of great interest to biologists to understand how organisms diversify and evolve. How... | [] | Train |
32,614 | 23 | Title: GIRT-Data: Sampling GitHub Issue Report Templates
Abstract: GitHub’s issue reports provide developers with valuable information that is essential to the evolution of a software development project. Contributors can use these reports to perform software engineering tasks like submitting bugs, requesting features,... | [] | Train |
32,615 | 10 | Title: Planning for Attacker Entrapment in Adversarial Settings
Abstract: In this paper, we propose a planning framework to generate a defense strategy against an attacker who is working in an environment where the defender can operate covertly. Here the objective of the defender is to covertly guide the attacker to a ... | [] | Test |
32,616 | 24 | Title: Multi-Objective Decision Transformers for Offline Reinforcement Learning
Abstract: Offline Reinforcement Learning (RL) is structured to derive policies from static trajectory data without requiring real-time environment interactions. Recent studies have shown the feasibility of framing offline RL as a sequence m... | [] | Train |
32,617 | 31 | Title: Item Graph Convolution Collaborative Filtering for Inductive Recommendations
Abstract: nan | [
45697
] | Train |
32,618 | 30 | Title: Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis
Abstract: ChatGPT has demonstrated exceptional proficiency in natural language conversation, e.g., it can answer a wide range of questions while no previous large language models can. Thus, we would like to push its limit and ex... | [
26792,
11273,
6061,
12015,
22416,
23252
] | Train |
32,619 | 16 | Title: Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
Abstract: Vision transformers have recently shown strong global context modeling capabilities in camouflaged object detection. However, they suffer from two major limitations: less effective locality modeling and insufficient feature ag... | [
21833,
19418,
3524,
37218
] | Test |
32,620 | 28 | Title: A Simple Multiple-Access Design for Reconfigurable Intelligent Surface-Aided Systems
Abstract: This paper focuses on the design of transmission methods and reflection optimization for a wireless system assisted by a single or multiple reconfigurable intelligent surfaces (RISs). The existing techniques are either... | [
32579,
18916,
8646,
30010,
24731
] | Train |
32,621 | 8 | Title: eSWORD: Implementation of Wireless Jamming Attacks in a Real-World Emulated Network
Abstract: Jamming attacks have plagued wireless communication systems and will continue to do so going forward with technological advances. These attacks fall under the category of Electronic Warfare (EW), a continuously growing ... | [
40429
] | Train |
32,622 | 24 | Title: Levin Tree Search with Context Models
Abstract: Levin Tree Search (LTS) is a search algorithm that makes use of a policy (a probability distribution over actions)
and comes with a theoretical guarantee on the number of expansions before reaching a goal node, depending on the quality of the policy.
This guarant... | [] | Validation |
32,623 | 7 | Title: Impact of artificial topological changes on flow and transport through fractured media due to mesh resolution
Abstract: We performed a set of numerical simulations to characterize the interplay of fracture network topology, upscaling, and mesh refinement on flow and transport properties in fractured porous media... | [] | Train |
32,624 | 36 | Title: Multi-Platform Budget Management in Ad Markets with Non-IC Auctions
Abstract: In online advertising markets, budget-constrained advertisers acquire ad placements through repeated bidding in auctions on various platforms. We present a strategy for bidding optimally in a set of auctions that may or may not be ince... | [
20296,
21788
] | Train |
32,625 | 16 | Title: Nested Diffusion Processes for Anytime Image Generation
Abstract: Diffusion models are the current state-of-the-art in image generation, synthesizing high-quality images by breaking down the generation process into many fine-grained denoising steps. Despite their good performance, diffusion models are computatio... | [
15809,
36084,
9246
] | Test |
32,626 | 23 | Title: Do Machine Learning Models Produce TypeScript Types that Type Check?
Abstract: Type migration is the process of adding types to untyped code to gain assurance at compile time. TypeScript and other gradual type systems facilitate type migration by allowing programmers to start with imprecise types and gradually s... | [
32450,
14869,
35422
] | Train |
32,627 | 30 | Title: Black-box Prompt Tuning with Subspace Learning
Abstract: Black-box prompt tuning uses derivative-free optimization algorithms to learn prompts in low-dimensional subspaces instead of back-propagating through the network of Large Language Models (LLMs). Recent studies have found that black-box prompt tuning lacks... | [] | Train |
32,628 | 16 | Title: Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism
Abstract: Car detection, particularly through camera vision, has become a major focus in the field of computer vision and has gained widespread adoption. While current car detection systems are capable of good detection, rel... | [] | Validation |
32,629 | 31 | Title: Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
Abstract: In multimodal-aware recommendation, the extraction of meaningful multimodal features is at the basis of high-quality recommendations. Generally, each recommendation framework implements its multimodal extraction proc... | [
45616
] | Train |
32,630 | 10 | Title: Explainability is NOT a Game
Abstract: Explainable artificial intelligence (XAI) aims to help human decision-makers in understanding complex machine learning (ML) models. One of the hallmarks of XAI are measures of relative feature importance, which are theoretically justified through the use of Shapley values. ... | [
20620
] | Validation |
32,631 | 24 | Title: Systematic Bias in Sample Inference and its Effect on Machine Learning
Abstract: A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model's predicted target rate for members of a given category typically being lower than the actual target rate for members... | [] | Train |
32,632 | 16 | Title: SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
Abstract: Optical Flow Estimation aims to find the 2D dense motion field between two frames. Due to the limitation of model structures and training datasets, existing methods often rely too much on local clues and ignore the integ... | [
18251,
10276,
31155,
3782
] | Train |
32,633 | 4 | Title: MTFS: a Moving Target Defense-Enabled File System for Malware Mitigation
Abstract: Ransomware has remained one of the most notorious threats in the cybersecurity field. Moving Target Defense (MTD) has been proposed as a novel paradigm for proactive defense. Although various approaches leverage MTD, few of them r... | [] | Test |
32,634 | 23 | Title: Exploring MLOps Dynamics: An Experimental Analysis in a Real-World Machine Learning Project
Abstract: This article presents an experiment focused on optimizing the MLOps (Machine Learning Operations) process, a crucial aspect of efficiently implementing machine learning projects. The objective is to identify pat... | [] | Test |
32,635 | 30 | Title: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Abstract: Fine-tuning large pre-trained language models on downstream tasks has become an important paradigm in NLP. However, common practice fine-tunes all of the parameters in a pre-trained model, which becomes prohibitive when a large number of do... | [
45568,
6979,
34563,
35365,
9287,
16715,
45388,
18991,
27282,
7732,
23028,
31158,
38453,
36569,
21915,
34910
] | Train |
32,636 | 30 | Title: TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection
Abstract: Multimodal hate detection, which aims to identify harmful content online such as memes, is crucial for building a wholesome internet environment. Previous work has made enlightening exploration in detecting explicit hate remarks. Howev... | [] | Train |
32,637 | 16 | Title: Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
Abstract: Malicious use of deepfakes leads to serious public concerns and reduces people's trust in digital media. Although effective deepfake detectors have been proposed, they are substantially vulnerable to adversarial attacks. To e... | [
26958
] | Test |
32,638 | 7 | Title: A time multiscale decomposition in cyclic elasto-plasticity
Abstract: For the numerical simulation of time-dependent problems, recent works suggest the use of a time marching scheme based on a tensorial decomposition of the time axis. This time-separated representation is straightforwardly introduced in the fram... | [
11600
] | Train |
32,639 | 30 | Title: SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference
Abstract: Autoregressive large language models (LLMs) have made remarkable progress in various natural language generation tasks. However, they incur high computation cost and latency resulting from the autoregressive ... | [
28606
] | Train |
32,640 | 16 | Title: Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention
Abstract: Most of the existing audio-driven 3D facial animation methods suffered from the lack of detailed facial expression and head pose, resulting in unsatisfactory experience of human-robot interaction. In this paper, a... | [] | Train |
32,641 | 24 | Title: Concept-aware clustering for decentralized deep learning under temporal shift
Abstract: Decentralized deep learning requires dealing with non-iid data across clients, which may also change over time due to temporal shifts. While non-iid data has been extensively studied in distributed settings, temporal shifts h... | [] | Train |
32,642 | 16 | Title: Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
Abstract: Gait disabilities are among the most frequent worldwide. Their treatment relies on rehabilitation therapies, in which smart walkers are being introduced to empower the user's recovery and autonomy, while reduci... | [] | Train |
32,643 | 10 | Title: Enhancing Agent Communication and Learning through Action and Language
Abstract: We introduce a novel category of GC-agents capable of functioning as both teachers and learners. Leveraging action-based demonstrations and language-based instructions, these agents enhance communication efficiency. We investigate t... | [] | Test |
32,644 | 10 | Title: A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality
Abstract: In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and a multilayer neural network model. Weighted knowledge bases for a ... | [
2623
] | Validation |
32,645 | 25 | Title: InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt
Abstract: Expressive text-to-speech (TTS) aims to synthesize different speaking style speech according to human's demands. Nowadays, there are two common ways to control speaking styles: (1) Pre-defining a group of ... | [
9313,
30378,
15628,
14158,
15055,
21778
] | Train |
32,646 | 28 | Title: AI-Empowered Hybrid MIMO Beamforming
Abstract: Hybrid multiple-input multiple-output (MIMO) is an attractive technology for realizing extreme massive MIMO systems envisioned for future wireless communications in a scalable and power-efficient manner. However, the fact that hybrid MIMO systems implement part of t... | [
40729,
26351
] | Train |
32,647 | 23 | Title: Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction
Abstract: Nowadays, software analytics tools using machine learning (ML) models to, for example, predict the risk of a code change are well established. However, as the goals of a project shift over time, ... | [] | Test |
32,648 | 30 | Title: Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners
Abstract: In this paper, we introduce an end-to-end pipeline for retrieving, processing, and extracting targeted information from legal cases. We investigate an under-studied legal domain with a case study on refugee law in Canad... | [] | Train |
32,649 | 16 | Title: Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning
Abstract: Glaucoma is the number one cause of irreversible blindness globally. A major challenge for accurate glaucoma detection and progression forecasting is the bottleneck of limit... | [] | Test |
32,650 | 27 | Title: Dubins Curve Based Continuous-Curvature Trajectory Planning for Autonomous Mobile Robots
Abstract: AMR is widely used in factories to replace manual labor to reduce costs and improve efficiency. However, it is often difficult for logistics robots to plan the optimal trajectory and unreasonable trajectory plannin... | [] | Train |
32,651 | 8 | Title: Integrated Access and Backhaul via Satellites
Abstract: To allow flexible and cost-efficient network densification and deployment, the integrated access and backhaul (IAB) was recently standardized by the third generation partnership project (3GPP) as part of the fifth-generation new radio (5G-NR) networks. Howe... | [] | Validation |
32,652 | 31 | Title: RecMind: Large Language Model Powered Agent For Recommendation
Abstract: Recent advancements in instructing Large Language Models (LLMs) to utilize external tools and execute multi-step plans have significantly enhanced their ability to solve intricate tasks, ranging from mathematical problems to creative writin... | [
4610,
13700,
40610,
9379,
16556,
16179,
30131,
24503,
9917,
33220,
33477,
14920,
45898,
29396,
10069,
12251,
43641,
634,
19967
] | Train |
32,653 | 16 | Title: A new method using deep learning to predict the response to cardiac resynchronization therapy
Abstract: Background. Clinical parameters measured from gated single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) have value in predicting cardiac resynchronization therapy (CRT) patient ... | [] | Test |
32,654 | 26 | Title: What makes a successful rebuttal in computer science conferences? : A perspective on social interaction
Abstract: nan | [] | Train |
32,655 | 24 | Title: Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Abstract: Distributed online learning is gaining increased traction due to its unique ability to process large-scale datasets and streaming data. To address the growing public awareness and concern on privacy protection, plenty... | [] | Validation |
32,656 | 30 | Title: Automatic Annotation of Direct Speech in Written French Narratives
Abstract: The automatic annotation of direct speech (AADS) in written text has been often used in computational narrative understanding. Methods based on either rules or deep neural networks have been explored, in particular for English or German... | [] | Test |
32,657 | 24 | Title: Reinforcement Logic Rule Learning for Temporal Point Processes
Abstract: We propose a framework that can incrementally expand the explanatory temporal logic rule set to explain the occurrence of temporal events. Leveraging the temporal point process modeling and learning framework, the rule content and weights w... | [] | Test |
32,658 | 23 | Title: How Many Papers Should You Review? A Research Synthesis of Systematic Literature Reviews in Software Engineering
Abstract: [Context] Systematic Literature Review (SLR) has been a major type of study published in Software Engineering (SE) venues for about two decades. However, there is a lack of understanding of ... | [] | Validation |
32,659 | 30 | Title: Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability
Abstract: Large, multilingual language models exhibit surprisingly good zero- or few-shot machine translation capabilities, despite having never seen the intentionally-included translation examples provid... | [
20272,
28367,
18359
] | Validation |
32,660 | 8 | Title: Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks
Abstract: Unmanned aerial vehicles (UAVs) serving as aerial base stations can be deployed to provide wireless connectivity to mobile users, such as vehicles. However, the density of vehicles on roads often varies spatiall... | [] | Train |
32,661 | 31 | Title: Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark
Abstract: Existing multimodal task-oriented dialog data fails to demonstrate the diverse expressions of user subjective preferences and recommendation acts in the real-life shopping scenario. This paper introduces a new da... | [
21968,
33800
] | Validation |
32,662 | 16 | Title: UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
Abstract: Point-, voxel-, and range-views are three representative forms of point clouds. All of them have accurate 3D measurements but lack color and texture information. RGB images are a natural complement to these point cloud ... | [
19204,
9606,
30092,
16078,
4047,
22767,
36174,
4443,
40603
] | Train |
32,663 | 4 | Title: Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Abstract: Deploying machine learning (ML) models in the wild is challenging as it suffers from distribution shifts, where the model trained on an original domain cannot generalize well to unforeseen diverse transfer domains. To address this challeng... | [
31315
] | Validation |
32,664 | 16 | Title: Delving into Shape-aware Zero-shot Semantic Segmentation
Abstract: Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy. However, translating this success to sem... | [
43720,
38480,
16079
] | Validation |
32,665 | 24 | Title: Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures
Abstract: This work presents an approach for automating the discretization and approximation procedures in constructing digital representations of composites from Micro-CT images featuring intricate micro... | [] | Train |
32,666 | 24 | Title: Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing
Abstract: Reservoir computing is a machine learning paradigm that uses a structure called a reservoir, which has nonlinearities and short-term memory. In recent years, reservoir computing has expanded to new functions s... | [] | Train |
32,667 | 16 | Title: Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
Abstract: This paper studies the computational offloading of video action recognition in edge computing. To achieve effective semantic information extraction and compression, following semantic communication we propose a novel sp... | [] | Test |
32,668 | 27 | Title: Probabilistic Contact State Estimation for Legged Robots using Inertial Information
Abstract: Legged robot navigation in unstructured and slippery terrains depends heavily on the ability to accurately identify the quality of contact between the robot's feet and the ground. Contact state estimation is regarded as... | [
35188
] | Train |
32,669 | 8 | Title: Adapting Foundation Models for Information Synthesis of Wireless Communication Specifications
Abstract: Existing approaches to understanding, developing and researching modern wireless communication technologies involves time-intensive and arduous process of sifting through numerous webpages and technical specif... | [
7936,
8071,
17517,
29206,
38011
] | Train |
32,670 | 24 | Title: Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal
Abstract: We give query complexity lower bounds for convex optimization and the related feasibility problem. We show that quadratic memory is necessary to achieve the optimal oracle complexity for ... | [
33609
] | Test |
32,671 | 30 | Title: CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions
Abstract: The widespread popularity of social media has led to an increase in hateful, abusive, and sexist language, motivating methods for the automatic detection of such phenomena. T... | [
16936
] | Validation |
32,672 | 16 | Title: Digital Twin Tracking Dataset (DTTD): A New RGB+Depth 3D Dataset for Longer-Range Object Tracking Applications
Abstract: Digital twin is a problem of augmenting real objects with their digital counterparts. It can underpin a wide range of applications in augmented reality (AR), autonomy, and UI/UX. A critical co... | [
29224
] | Train |
32,673 | 16 | Title: VR-based body tracking to stimulate musculoskeletal training
Abstract: Training helps to maintain and improve sufficient muscle function, body control, and body coordination. These are important to reduce the risk of fracture incidents caused by falls, especially for the elderly or people recovering from injury.... | [] | Train |
32,674 | 16 | Title: Bidirectional Correlation-Driven Inter-Frame Interaction Transformer for Referring Video Object Segmentation
Abstract: Referring video object segmentation (RVOS) aims to segment the target object in a video sequence described by a language expression. Typical multimodal Transformer based RVOS approaches process ... | [
17803
] | Train |
32,675 | 26 | Title: Circle Feature Graphormer: Can Circle Features Stimulate Graph Transformer?
Abstract: In this paper, we introduce two local graph features for missing link prediction tasks on ogbl-citation2. We define the features as Circle Features, which are borrowed from the concept of circle of friends. We propose the detai... | [
21389
] | Test |
32,676 | 27 | Title: An Enhanced Sampling-Based Method with Modified Next-Best View Strategy For 2D Autonomous Robot Exploration
Abstract: The sampling-based exploration strategy is the most effective for Unmanned Aerial Vehicles, Micro Aerial Vehicles, and other three-dimensional outdoor robots. Its objective is to send robots to c... | [] | Validation |
32,677 | 24 | Title: Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Abstract: Federated learning (FL) is an emerging technique that trains massive and geographically distributed edge data while maintaining privacy. However, FL has inherent challenges in terms of fairness and comput... | [
511,
4910,
3920,
38707,
36063
] | Train |
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