node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,578 | 16 | Title: Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
Abstract: Conventional defect detection systems in Automated Fibre Placement (AFP) typically rely on end-to-end supervised learning, necessitating a substantial number of labelled defective samples for effective training. However, the... | [
8098
] | Train |
24,579 | 8 | Title: Building Reliable Budget-Based Binary-State Networks
Abstract: Everyday life is driven by various network, such as supply chains for distributing raw materials, semi-finished product goods, and final products; Internet of Things (IoT) for connecting and exchanging data; utility networks for transmitting fuel, po... | [] | Train |
24,580 | 24 | Title: Majorization-Minimization for sparse SVMs
Abstract: Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework. Nowadays, they often outperform other supervised methods and remain one of the most popular approaches in the machine l... | [] | Validation |
24,581 | 24 | Title: ROSARL: Reward-Only Safe Reinforcement Learning
Abstract: An important problem in reinforcement learning is designing agents that learn to solve tasks safely in an environment. A common solution is for a human expert to define either a penalty in the reward function or a cost to be minimised when reaching unsafe... | [] | Train |
24,582 | 24 | Title: Cuttlefish: Low-Rank Model Training without All the Tuning
Abstract: Recent research has shown that training low-rank neural networks can effectively reduce the total number of trainable parameters without sacrificing predictive accuracy, resulting in end-to-end speedups. However, low-rank model training necessi... | [
27274
] | Validation |
24,583 | 4 | Title: LØ: An Accountable Mempool for MEV Resistance
Abstract: Possible manipulation of user transactions by miners in a permissionless blockchain systems is a growing concern. This problem is a pervasive and systemic issue, known as Miner Extractable Value (MEV), incurs highs costs on users of decentralised applicatio... | [
14772
] | Train |
24,584 | 24 | Title: Structure-Aware DropEdge Towards Deep Graph Convolutional Networks
Abstract: It has been discovered that graph convolutional networks (GCNs) encounter a remarkable drop in performance when multiple layers are piled up. The main factor that accounts for why deep GCNs fail lies in oversmoothing, which isolates the... | [] | Test |
24,585 | 1 | Title: COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment
Abstract: Vision-Language Pre-training (VLP) methods based on object detection enjoy the rich knowledge of fine-grained object-text alignment but at the cost of computationally expensive inference. Recent Visual-T... | [] | Train |
24,586 | 2 | Title: Relating Reversible Petri Nets and Reversible Event Structures, categorically
Abstract: Petri nets, where causal dependencies are modelled via inhibitor arcs, called \emph{Causal nets}, are powerful enough to play the role of occurrence nets when representing the behaviour of a concurrent and distributed system,... | [] | Validation |
24,587 | 5 | Title: HPCDF: Optimal Service Provisioning in IoT Fog-based Environment for QoS-aware Delay-sensitive Application
Abstract: Due to the explosive growth of smart devices, 5G, and the Internet of Things (IoT) applications in recent years, the volume and velocity of generated data, and consequently, delay-sensitive applic... | [] | Test |
24,588 | 16 | Title: DisCLIP: Open-Vocabulary Referring Expression Generation
Abstract: Referring Expressions Generation (REG) aims to produce textual descriptions that unambiguously identifies specific objects within a visual scene. Traditionally, this has been achieved through supervised learning methods, which perform well on spe... | [
1016,
13935
] | Test |
24,589 | 5 | Title: Transactional Composition of Nonblocking Data Structures
Abstract: We introduce nonblocking transaction composition (NBTC), a new methodology for atomic composition of nonblocking operations on concurrent data structures. Unlike previous software transactional memory (STM) approaches, NBTC leverages the lineariz... | [] | Train |
24,590 | 30 | Title: Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Abstract: nan | [] | Validation |
24,591 | 30 | Title: A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
Abstract: State-of-the-art natural language processing models have been shown to achieve remarkable performance in 'closed-world' settings where all the labels in the evaluation set are k... | [
13765,
35039
] | Train |
24,592 | 30 | Title: Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough
Abstract: Counterfactually-Augmented Data (CAD) has the potential to improve language models' Out-Of-Distribution (OOD) generalization capability, as CAD induces language models to exploi... | [] | Test |
24,593 | 24 | Title: FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks
Abstract: Deep neural networks have been widely used in many critical applications, such as autonomous vehicles and medical diagnosis. However, their security is threatened by backdoor attack, which is achieved by adding artifici... | [] | Test |
24,594 | 16 | Title: ModEFormer: Modality-Preserving Embedding for Audio-Video Synchronization using Transformers
Abstract: Lack of audio-video synchronization is a common problem during television broadcasts and video conferencing, leading to an unsatisfactory viewing experience. A widely accepted paradigm is to create an error det... | [] | Train |
24,595 | 4 | Title: Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data
Abstract: As the reliance on wireless sensor networks (WSNs) rises in numerous sectors, cyberattack prevention and data transmission integrity become essential problems. This study provides... | [] | Validation |
24,596 | 16 | Title: Visual based Tomato Size Measurement System for an Indoor Farming Environment
Abstract: As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry. Current existing vision systems for yield estimation face difficulties in occlusion and scalability as ... | [] | Train |
24,597 | 4 | Title: Double Public Key Signing Function Oracle Attack on EdDSA Software Implementations
Abstract: EdDSA is a standardised elliptic curve digital signature scheme introduced to overcome some of the issues prevalent in the more established ECDSA standard. Due to the EdDSA standard specifying that the EdDSA signature be... | [] | Train |
24,598 | 30 | Title: Joint Repetition Suppression and Content Moderation of Large Language Models
Abstract: Natural language generation (NLG) is one of the most impactful fields in NLP, and recent years have witnessed its evolution brought about by large language models (LLMs). As the key instrument for writing assistance applicatio... | [] | Train |
24,599 | 16 | Title: Neural Video Compression with Temporal Layer-Adaptive Hierarchical B-frame Coding
Abstract: Neural video compression (NVC) is a rapidly evolving video coding research area, with some models achieving superior coding efficiency compared to the latest video coding standard Versatile Video Coding (VVC). In conventi... | [] | Validation |
24,600 | 16 | Title: Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
Abstract: Modern methods for vision-centric autonomous driving perception widely adopt the bird's-eye-view (BEV) representation to describe a 3D scene. Despite its better efficiency than voxel representation, it has difficulty describing the ... | [
10240,
23553,
8579,
529,
5393,
9107,
10136,
12576,
45474,
26151,
45999,
22585,
8906,
11089,
39131,
740,
28389,
42472,
27763,
2933,
40575
] | Train |
24,601 | 30 | Title: ECQED: Emotion-Cause Quadruple Extraction in Dialogs
Abstract: The existing emotion-cause pair extraction (ECPE) task, unfortunately, ignores extracting the emotion type and cause type, while these fine-grained meta-information can be practically useful in real-world applications, i.e., chat robots and empathic ... | [
16130,
34358,
39919
] | Validation |
24,602 | 18 | Title: Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems
Abstract: Multi-core neuromorphic systems typically use on-chip routers to transmit spikes among cores. These routers require significant memory resources and consume a large part of the overall system's energy budget. A promising al... | [] | Train |
24,603 | 34 | Title: Robust Algorithms on Adaptive Inputs from Bounded Adversaries
Abstract: We study dynamic algorithms robust to adaptive input generated from sources with bounded capabilities, such as sparsity or limited interaction. For example, we consider robust linear algebraic algorithms when the updates to the input are spa... | [
6976,
45570
] | Train |
24,604 | 3 | Title: Cryptoart: Ethical Challenges of the NFT Revolution
Abstract: The digital transformation of the art world has become a revolution for the sector. Cryptoart, based on non-fungible tokens (NFT), is attracting the attention of artists, collectors and enthusiasts for its ability to tokenise any element that can be s... | [] | Train |
24,605 | 24 | Title: Transformer Training Strategies for Forecasting Multiple Load Time Series
Abstract: In the smart grid of the future, accurate load forecasts on the level of individual clients can help to balance supply and demand locally and to prevent grid outages. While the number of monitored clients will increase with the o... | [
25480,
33220,
23861
] | Test |
24,606 | 9 | Title: Scheme-Theoretic Approach to Computational Complexity. IV. A New Perspective on Hardness of Approximation
Abstract: We provide a new approach for establishing hardness of approximation results, based on the theory recently introduced by the author. It allows one to directly show that approximating a problem beyo... | [] | Train |
24,607 | 16 | Title: Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning
Abstract: Vision-Language Models (VLMs) are expected to be capable of reasoning with commonsense knowledge as human beings. One example is that humans can reason where and when an image is taken based on their knowledge... | [
10624,
37987,
13700,
27282,
23545,
33019
] | Train |
24,608 | 30 | Title: Cascaded Cross-Modal Transformer for Request and Complaint Detection
Abstract: We propose a novel cascaded cross-modal transformer (CCMT) that combines speech and text transcripts to detect customer requests and complaints in phone conversations. Our approach leverages a multimodal paradigm by transcribing the s... | [
3784,
21574
] | Validation |
24,609 | 10 | Title: Human Machine Co-adaption Interface via Cooperation Markov Decision Process System
Abstract: This paper aims to develop a new human-machine interface to improve rehabilitation performance from the perspective of both the user (patient) and the machine (robot) by introducing the co-adaption techniques via model-b... | [] | Train |
24,610 | 16 | Title: The FathomNet2023 Competition Dataset
Abstract: Ocean scientists have been collecting visual data to study marine organisms for decades. These images and videos are extremely valuable both for basic science and environmental monitoring tasks. There are tools for automatically processing these data, but none that... | [
14198
] | Train |
24,611 | 34 | Title: A scalable clustering algorithm to approximate graph cuts
Abstract: Due to its computational complexity, graph cuts for cluster detection and identification are used mostly in the form of convex relaxations. We propose to utilize the original graph cuts such as Ratio, Normalized or Cheeger Cut in order to detect... | [] | Validation |
24,612 | 16 | Title: Is end-to-end learning enough for fitness activity recognition?
Abstract: End-to-end learning has taken hold of many computer vision tasks, in particular, related to still images, with task-specific optimization yielding very strong performance. Nevertheless, human-centric action recognition is still largely dom... | [] | Validation |
24,613 | 25 | Title: CAT: Causal Audio Transformer for Audio Classification
Abstract: The attention-based Transformers have been increasingly applied to audio classification because of their global receptive field and ability to handle long-term dependency. However, the existing frameworks which are mainly extended from the Vision T... | [
16625
] | Test |
24,614 | 30 | Title: Red Teaming Language Model Detectors with Language Models
Abstract: The prevalence and high capacity of large language models (LLMs) present significant safety and ethical risks when malicious users exploit them for automated content generation. To prevent the potentially deceptive usage of LLMs, recent works ha... | [
22476,
10252,
497,
25367,
38235,
16221
] | Train |
24,615 | 30 | Title: What do self-supervised speech models know about words?
Abstract: Many self-supervised speech models (S3Ms) have been introduced over the last few years, producing performance and data efficiency improvements for a variety of speech tasks. Evidence is emerging that different S3Ms encode linguistic information in... | [
38923,
9203
] | Validation |
24,616 | 28 | Title: Estimating mutual information for spike trains: a bird song example
Abstract: Zebra finch are a model animal used in the study of audition. They are adept at recognizing zebra finch songs and the neural pathway involved in song recognition is well studied. Here, this example is used to illustrate the estimation ... | [] | Test |
24,617 | 30 | Title: SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)
Abstract: NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments such as sentiment analysis or offensive language detection. Particularly in these la... | [
11434,
32838
] | Train |
24,618 | 25 | Title: Predicting Music Hierarchies with a Graph-Based Neural Decoder
Abstract: This paper describes a data-driven framework to parse musical sequences into dependency trees, which are hierarchical structures used in music cognition research and music analysis. The parsing involves two steps. First, the input sequence ... | [
828
] | Validation |
24,619 | 16 | Title: One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale
Abstract: Large-scale medical imaging datasets have accelerated development of artificial intelligence tools for clinical decision support. However, the large size of these datasets is a bottleneck for users with limited stor... | [] | Test |
24,620 | 27 | Title: anafi_ros: from Off-the-Shelf Drones to Research Platforms
Abstract: The off-the-shelf drones are simple to operate and easy to maintain aerial systems. However, due to proprietary flight software, these drones usually do not provide an open-source interface which can enable them for autonomous flight in researc... | [] | Validation |
24,621 | 16 | Title: PanFlowNet: A Flow-Based Deep Network for Pan-sharpening
Abstract: Pan-sharpening aims to generate a high-resolution multispectral (HRMS) image by integrating the spectral information of a low-resolution multispectral (LRMS) image with the texture details of a high-resolution panchromatic (PAN) image. It essenti... | [] | Train |
24,622 | 16 | Title: X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance
Abstract: Text-driven 3D stylization is a complex and crucial task in the fields of computer vision (CV) and computer graphics (CG), aimed at transforming a bare mesh to fit a target text. Prior methods adopt text-independe... | [
40258,
17029,
44522,
21324,
33932,
20435,
34167,
16697,
3743
] | Validation |
24,623 | 16 | Title: Identity masking effectiveness and gesture recognition: Effects of eye enhancement in seeing through the mask
Abstract: Face identity masking algorithms developed in recent years aim to protect the privacy of people in video recordings. These algorithms are designed to interfere with identification, while preser... | [] | Test |
24,624 | 16 | Title: GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Abstract: Synthesizing high-fidelity complex images from text is challenging. Based on large pretraining, the autoregressive and diffusion models can synthesize photo-realistic images. Although these large models have shown notable progress, there r... | [
36640,
30402,
19652,
36741,
9514,
1899,
11405,
10062,
19378,
41874,
8020,
33939,
3389,
1151
] | Train |
24,625 | 24 | Title: Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
Abstract: Large language models(LLMs) have sparked a new wave of exciting AI applications. Hosting these models at scale requires significant memory resources. One crucial memory bottleneck for the deploym... | [
40953,
12851
] | Train |
24,626 | 31 | Title: Decomposition and Interleaving for Variance Reduction of Post-click Metrics
Abstract: In this study, we propose an efficient method for comparing the post-click metric (e.g., dwell time and conversion rate) of multiple rankings in online experiments. The proposed method involves (1) the decomposition of the post... | [
14464
] | Train |
24,627 | 24 | Title: Hierarchical GNNs for Large Graph Generation
Abstract: Large graphs are present in a variety of domains, including social networks, civil infrastructure, and the physical sciences to name a few. Graph generation is similarly widespread, with applications in drug discovery, network analysis and synthetic datasets... | [] | Train |
24,628 | 38 | Title: Changing tools, changing habits, changing workflows: Recent evolutions of the interlibrary loan service at ULiège Library
Abstract: Over the last few years, the interlibrary loan (ILL) service of the University of Li\`ege Library has evolved considerably, both in terms of habits and workflows. In this article, w... | [
12676
] | Train |
24,629 | 30 | Title: The State of Human-centered NLP Technology for Fact-checking
Abstract: nan | [
9536,
34119,
31219,
41019,
18239
] | Train |
24,630 | 16 | Title: Single Domain Generalization via Normalised Cross-correlation Based Convolutions
Abstract: Deep learning techniques often perform poorly in the presence of domain shift, where the test data follows a different distribution than the training data. The most practically desirable approach to address this issue is S... | [
38963,
21091
] | Test |
24,631 | 7 | Title: Adaptive Predictive Portfolio Management Agent
Abstract: The paper presents an advanced version of an adaptive market-making agent capable of performing experiential learning, exploiting a"try and fail"approach relying on a swarm of subordinate agents executed in a virtual environment to determine optimal strate... | [] | Validation |
24,632 | 7 | Title: EFX Allocations Exist for Binary Valuations
Abstract: We study the fair division problem and the existence of allocations satisfying the fairness criterion envy-freeness up to any item (EFX). The existence of EFX allocations is a major open problem in the fair division literature. We consider binary valuations w... | [
26585,
28902
] | Train |
24,633 | 34 | Title: On the work of dynamic constant-time parallel algorithms for regular tree languages and context-free languages
Abstract: Previous work on Dynamic Complexity has established that there exist dynamic constant-time parallel algorithms for regular tree languages and context-free languages under label or symbol chang... | [] | Train |
24,634 | 16 | Title: Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Abstract: Recently, transformers have shown strong ability as visual feature extractors, surpassing traditional convolution-based models in various scenarios. However, the success of vision transformers largely owes to their capacity ... | [
793,
13805
] | Train |
24,635 | 30 | Title: The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Abstract: Large language models (LLMs) are known for their exceptional performance in natural language processing, making them highly effective in many human life-related or even job-related tasks. The attention mechanism in the Tran... | [
32416,
11809,
12898,
20449,
26657,
34404,
17354,
24299,
13100,
40301,
20911,
16949,
39573,
22103,
7643,
43327
] | Validation |
24,636 | 25 | Title: Improved Vehicle Sub-type Classification for Acoustic Traffic Monitoring
Abstract: The detection and classification of vehicles on the road is a crucial task for traffic monitoring. Usually, Computer Vision (CV) algorithms dominate the task of vehicle classification on the road, but CV methodologies might suffer... | [
29963
] | Train |
24,637 | 33 | Title: Introducing Divergence for Infinite Probabilistic Models
Abstract: Computing the reachability probability in infinite state probabilistic models has been the topic of numerous works. Here we introduce a new property called \emph{divergence} that when satisfied allows to compute reachability probabilities up to a... | [
520
] | Train |
24,638 | 5 | Title: Servo: Increasing the Scalability of Modifiable Virtual Environments Using Serverless Computing - Extended Technical Report
Abstract: Online games with modifiable virtual environments (MVEs) have become highly popular over the past decade. Among them, Minecraft -- supporting hundreds of millions of users -- is t... | [] | Test |
24,639 | 4 | Title: Scalable and Configurable Tracking for Any Rowhammer Threshold
Abstract: The Rowhammer vulnerability continues to get worse, with the Rowhammer Threshold (TRH) reducing from 139K activations to 4.8K activations over the last decade. Typical Rowhammer mitigations rely on tracking aggressor rows. The number of pos... | [
5339,
34174
] | Test |
24,640 | 16 | Title: Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems
Abstract: Denoising diffusion models have emerged as the go-to framework for solving inverse problems in imaging. A critical concern regarding these models is their performance on out-of-distribution (OOD) tasks, which... | [
7875,
30151,
10695,
31562,
46135,
1022
] | Test |
24,641 | 24 | Title: Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Abstract: Self-supervised learning converts raw perceptual data such as images to a compact space where simple Euclidean distances measure meaningful variations in data. In this paper, we extend this formulation by adding addi... | [] | Test |
24,642 | 30 | Title: Bridge the Gap between Language models and Tabular Understanding
Abstract: Table pretrain-then-finetune paradigm has been proposed and employed at a rapid pace after the success of pre-training in the natural language domain. Despite the promising findings in tabular pre-trained language models (TPLMs), there is... | [
16235
] | Train |
24,643 | 27 | Title: Learning Video-Conditioned Policies for Unseen Manipulation Tasks
Abstract: The ability to specify robot commands by a non-expert user is critical for building generalist agents capable of solving a large variety of tasks. One convenient way to specify the intended robot goal is by a video of a person demonstrat... | [
18276
] | Validation |
24,644 | 24 | Title: Separable Gaussian Neural Networks: Structure, Analysis, and Function Approximations
Abstract: The Gaussian-radial-basis function neural network (GRBFNN) has been a popular choice for interpolation and classification. However, it is computationally intensive when the dimension of the input vector is high. To add... | [] | Train |
24,645 | 28 | Title: A Mirror Descent Perspective on Classical and Quantum Blahut-Arimoto Algorithms
Abstract: The Blahut-Arimoto algorithm is a well known method to compute classical channel capacities and rate-distortion functions. Recent works have extended this algorithm to compute various quantum analogs of these quantities. In... | [] | Test |
24,646 | 16 | Title: High-Resolution Volumetric Reconstruction for Clothed Humans
Abstract: We present a novel method for reconstructing clothed humans from a sparse set of, e.g., 1–6 RGB images. Despite impressive results from recent works employing deep implicit representation, we revisit the volumetric approach and demonstrate th... | [] | Train |
24,647 | 5 | Title: Opportunistic Mutual Exclusion
Abstract: Mutual exclusion is an important problem in the context of shared resource usage, where only one process can be using the shared resource at any given time. A mutual exclusion protocol that does not use information on the duration for which each process uses the resource ... | [] | Train |
24,648 | 28 | Title: Code-Division OFDM Joint Communication and Sensing System for 6G Machine-Type Communication
Abstract: The joint communication and sensing (JCS) system can provide higher spectrum efficiency and load saving for 6G machine-type communication (MTC) applications by merging necessary communication and sensing abiliti... | [
39135,
24551
] | Train |
24,649 | 28 | Title: Cooperative Cellular Localization with Intelligent Reflecting Surface: Design, Analysis and Optimization
Abstract: Autonomous driving and intelligent transportation applications have dramatically increased the demand for high-accuracy and low-latency localization services. While cellular networks are potentially... | [] | Test |
24,650 | 28 | Title: Modulation and Estimation with a Helper
Abstract: The problem of transmitting a parameter value over an additive white Gaussian noise (AWGN) channel is considered, where, in addition to the transmitter and the receiver, there is a helper that observes the noise non-causally and provides a description of limited ... | [
18668
] | Test |
24,651 | 24 | Title: Policy Representation via Diffusion Probability Model for Reinforcement Learning
Abstract: Popular reinforcement learning (RL) algorithms tend to produce a unimodal policy distribution, which weakens the expressiveness of complicated policy and decays the ability of exploration. The diffusion probability model i... | [
8994,
37252,
5541,
34215,
40424,
8308,
41404,
43965
] | Train |
24,652 | 24 | Title: Does Continual Learning Equally Forget All Parameters?
Abstract: Distribution shift (e.g., task or domain shift) in continual learning (CL) usually results in catastrophic forgetting of neural networks. Although it can be alleviated by repeatedly replaying buffered data, the every-step replay is time-consuming. ... | [] | Validation |
24,653 | 16 | Title: Contextual Object Detection with Multimodal Large Language Models
Abstract: Recent Multimodal Large Language Models (MLLMs) are remarkable in vision-language tasks, such as image captioning and question answering, but lack the essential perception ability, i.e., object detection. In this work, we address this li... | [
10624,
13700,
21892,
3609,
27421,
20001,
30243,
1854,
33220,
17097,
38235,
37987,
1900,
23152,
497,
6770,
13564,
3454,
34943
] | Validation |
24,654 | 23 | Title: Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches
Abstract: The adoption of deep neural networks (DNNs) in safety-critical contexts is often prevented by the lack of effective means to explain their results, especially when they are erroneous. In our previous work, we propos... | [] | Train |
24,655 | 24 | Title: Don't guess what's true: choose what's optimal. A probability transducer for machine-learning classifiers
Abstract: In fields such as medicine and drug discovery, the ultimate goal of a classification is not to guess a class, but to choose the optimal course of action among a set of possible ones, usually not in... | [
39636
] | Train |
24,656 | 22 | Title: Latte: Lightweight Aliasing Tracking for Java
Abstract: Many existing systems track aliasing and uniqueness, each with their own trade-off between expressiveness and developer effort. We propose Latte, a new approach that aims to minimize both the amount of annotations and the complexity of invariants necessary ... | [] | Train |
24,657 | 26 | Title: Towards Detecting Inauthentic Coordination in Twitter Likes Data
Abstract: Social media feeds typically favor posts according to user engagement. The most ubiquitous type of engagement (and the type we study) is *likes*. Users customarily take engagement metrics such as likes as a neutral proxy for quality and a... | [
36578,
44915
] | Train |
24,658 | 31 | Title: Sequential Recommendation with Diffusion Models
Abstract: Generative models, such as Variational Auto-Encoder (VAE) and Generative Adversarial Network (GAN), have been successfully applied in sequential recommendation. These methods require sampling from probability distributions and adopt auxiliary loss functio... | [
17941
] | Validation |
24,659 | 16 | Title: IKEA-Manual: Seeing Shape Assembly Step by Step
Abstract: Human-designed visual manuals are crucial components in shape assembly activities. They provide step-by-step guidance on how we should move and connect different parts in a convenient and physically-realizable way. While there has been an ongoing effort i... | [] | Validation |
24,660 | 24 | Title: USER: Unsupervised Structural Entropy-based Robust Graph Neural Network
Abstract: Unsupervised/self-supervised graph neural networks (GNN) are susceptible to the inherent randomness in the input graph data, which adversely affects the model's performance in downstream tasks. In this paper, we propose USER, an un... | [] | Validation |
24,661 | 16 | Title: Visual-Tactile Sensing for In-Hand Object Reconstruction
Abstract: Tactile sensing is one of the modalities humans rely on heavily to perceive the world. Working with vision, this modality refines local geometry structure, measures defor-mation at the contact area, and indicates the hand-object contact state. Wi... | [
8854
] | Test |
24,662 | 16 | Title: HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery
Abstract: The wide range of research in deep learning-based medical image segmentation pushed the boundaries in a multitude of applications. A clinically relevant problem that received less attention is the handling of scans with irregula... | [] | Validation |
24,663 | 27 | Title: VR-SLAM: A Visual-Range Simultaneous Localization and Mapping System using Monocular Camera and Ultra-wideband Sensors
Abstract: In this work, we propose a simultaneous localization and mapping (SLAM) system using a monocular camera and Ultra-wideband (UWB) sensors. Our system, referred to as VRSLAM, is a multi-... | [] | Validation |
24,664 | 8 | Title: Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture
Abstract: Wireless sensor networks (WSNs), one of the fundamental technologies of the Internet of Things (IoT), can provide sensing and communication services efficiently for IoT-based a... | [
14093
] | Train |
24,665 | 24 | Title: Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Abstract: Albeit having gained significant progress lately, large-scale graph representation learning remains expensive to train and deploy for two main reasons: (i) the repetitive computation of mu... | [
34527
] | Train |
24,666 | 11 | Title: IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas
Abstract: Achieving and maintaining cooperation between agents to accomplish a common objective is one of the central goals of Multi-Agent Reinforcement Learning (MARL). Nevertheless in many real-w... | [] | Train |
24,667 | 16 | Title: Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos
Abstract: Localization of the narrowest position of the vessel and corresponding vessel and remnant vessel delineation in carotid ultrasound (US) are essential for carotid stenosis grading (CSG) in clinical ... | [] | Train |
24,668 | 16 | Title: Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation
Abstract: Classification and segmentation are crucial in medical image analysis as they enable accurate diagnosis and disease monitoring. However, current methods often prioritize the mutual learning features and shared ... | [
21357,
9423
] | Train |
24,669 | 4 | Title: Safe and Secure Smart Home using Cisco Packet Tracer
Abstract: This project presents an implementation and designing of safe, secure and smart home with enhanced levels of security features which uses IoT-based technology. We got our motivation for this project after learning about movement of west towards smart... | [] | Test |
24,670 | 23 | Title: Collaborative, Code-Proximal Dynamic Software Visualization within Code Editors
Abstract: Software visualizations are usually realized as standalone and isolated tools that use embedded code viewers within the visualization. In the context of program comprehension, only few approaches integrate visualizations in... | [] | Train |
24,671 | 3 | Title: Combining Gamification and Intelligent Tutoring Systems in a Serious Game for Engineering Education
Abstract: We provide ongoing results from the development of a personalized learning system integrated into a serious game. Given limited instructor resources, the use of computerized systems to help tutor student... | [] | Validation |
24,672 | 24 | Title: PathMLP: Smooth Path Towards High-order Homophily
Abstract: Real-world graphs exhibit increasing heterophily, where nodes no longer tend to be connected to nodes with the same label, challenging the homophily assumption of classical graph neural networks (GNNs) and impeding their performance. Intriguingly, we ob... | [] | Test |
24,673 | 23 | Title: Cloud Native Software Engineering
Abstract: Cloud compute adoption has been growing since its inception in the early 2000's with estimates that the size of this market in terms of worldwide spend will increase from \$700 billion in 2021 to \$1.3 trillion in 2025. While there is a significant research activity in... | [] | Test |
24,674 | 27 | Title: Internet of Things Meets Robotics: A Survey of Cloud-based Robots
Abstract: This work presents a survey of existing literature on the fusion of the Internet of Things (IoT) with robotics and explores the integration of these technologies for the development of the Internet of Robotics Things (IoRT). The survey f... | [
16721
] | Validation |
24,675 | 16 | Title: PLIP: Language-Image Pre-training for Person Representation Learning
Abstract: Pre-training has emerged as an effective technique for learning powerful person representations. Most existing methods have shown that pre-training on pure-vision large-scale datasets like ImageNet and LUPerson has achieved remarkable... | [
41883,
38876
] | Test |
24,676 | 30 | Title: Single Sequence Prediction over Reasoning Graphs for Multi-hop QA
Abstract: Recent generative approaches for multi-hop question answering (QA) utilize the fusion-in-decoder method to generate a single sequence output which includes both a final answer and a reasoning path taken to arrive at that answer, such as ... | [] | Train |
24,677 | 4 | Title: EMShepherd: Detecting Adversarial Samples via Side-channel Leakage
Abstract: Deep Neural Networks (DNN) are vulnerable to adversarial perturbations — small changes crafted deliberately on the input to mislead the model for wrong predictions. Adversarial attacks have disastrous consequences for deep learning empo... | [] | Train |
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