node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,378 | 4 | Title: The Nonce-nce of Web Security: an Investigation of CSP Nonces Reuse
Abstract: Content Security Policy (CSP) is an effective security mechanism that prevents the exploitation of Cross-Site Scripting (XSS) vulnerabilities on websites by specifying the sources from which their web pages can load resources, such as ... | [] | Train |
24,379 | 5 | Title: How to generate a fault-resilient network at a lower cost
Abstract: Blockchains facilitate decentralization, security, identity, and data management in cyber-physical systems. However, consensus protocols used in blockchains are prone to high message and computational complexity costs and are not suitable to be ... | [
15008
] | Train |
24,380 | 16 | Title: ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition
Abstract: Situation Recognition is the task of generating a structured summary of what is happening in an image using an activity verb and the semantic roles played by actors and objects. In this task, the same activity ve... | [
32423
] | Train |
24,381 | 30 | Title: LBMT team at VLSP2022-Abmusu: Hybrid method with text correlation and generative models for Vietnamese multi-document summarization
Abstract: Multi-document summarization is challenging because the summaries should not only describe the most important information from all documents but also provide a coherent in... | [] | Train |
24,382 | 34 | Title: New Support Size Bounds for Integer Programming, Applied to Makespan Minimization on Uniformly Related Machines
Abstract: Mixed-integer linear programming (MILP) is at the core of many advanced algorithms for solving fundamental problems in combinatorial optimization. The complexity of solving MILPs directly cor... | [] | Validation |
24,383 | 24 | Title: An Online Multiple Kernel Parallelizable Learning Scheme
Abstract: The performance of reproducing kernel Hilbert space-based methods is known to be sensitive to the choice of the reproducing kernel. Choosing an adequate reproducing kernel can be challenging and computationally demanding, especially in data-rich ... | [] | Validation |
24,384 | 31 | Title: Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning
Abstract: The more new features that are being added to smartphones, the harder it becomes for users to find them. This is because the feature names are usually short and there are just too many of them for the users to... | [] | Train |
24,385 | 24 | Title: A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game Theory
Abstract: Complex interactions between two opposing agents frequently occur in domains of machine learning, game theory, and other application ... | [
21154,
10943
] | Validation |
24,386 | 27 | Title: Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
Abstract: Lane change in dense traffic is considered a challenging problem that typically requires the recognition of an opportune and appropriate opportunity for maneuvers. In this work, we propose a chan... | [
13089,
36291
] | Train |
24,387 | 10 | Title: GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
Abstract: This paper introduces a new transformer-based model for the problem of travel time estimation. The key feature of the proposed GCT-TTE architecture is the utilization of different data modalities capturing different properties of an in... | [] | Train |
24,388 | 16 | Title: Scale-Aware Modulation Meet Transformer
Abstract: This paper presents a new vision Transformer, Scale-Aware Modulation Transformer (SMT), that can handle various downstream tasks efficiently by combining the convolutional network and vision Transformer. The proposed Scale-Aware Modulation (SAM) in the SMT includ... | [] | Train |
24,389 | 2 | Title: Rewriting and Completeness of Sum-Over-Paths in Dyadic Fragments of Quantum Computing
Abstract: The"Sum-Over-Paths"formalism is a way to symbolically manipulate linear maps that describe quantum systems, and is a tool that is used in formal verification of such systems. We give here a new set of rewrite rules fo... | [] | Validation |
24,390 | 24 | Title: StitchNet: Composing Neural Networks from Pre-Trained Fragments
Abstract: We propose StitchNet, a novel neural network creation paradigm that stitches together fragments (one or more consecutive network layers) from multiple pre-trained neural networks. StitchNet allows the creation of high-performing neural net... | [
42568,
19509
] | Train |
24,391 | 4 | Title: PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
Abstract: Two-party computation (2PC) is promising to enable privacy-preserving deep learning (DL). However, the 2PC-based privacy-preserving DL implementation comes with high comparison protocol ove... | [
19288,
33130,
11884,
17813
] | Test |
24,392 | 16 | Title: Inverse Quantum Fourier Transform Inspired Algorithm for Unsupervised Image Segmentation
Abstract: Image segmentation is a very popular and important task in computer vision. In this paper, inverse quantum Fourier transform (IQFT) for image segmentation has been explored and a novel IQFT-inspired algorithm is pr... | [] | Train |
24,393 | 24 | Title: Multivariate systemic risk measures and computation by deep learning algorithms
Abstract: In this work, we propose deep learning-based algorithms for the computation of systemic shortfall risk measures defined via multivariate utility functions. We discuss the key related theoretical aspects, with a particular f... | [] | Validation |
24,394 | 23 | Title: Equivalence, Identity, and Unitarity Checking in Black-Box Testing of Quantum Programs
Abstract: Quantum programs exhibit inherent non-deterministic behavior, which poses more significant challenges for error discovery compared to classical programs. While several testing methods have been proposed for quantum p... | [
27370
] | Validation |
24,395 | 30 | Title: MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems
Abstract: MeetEval is an open-source toolkit to evaluate all kinds of meeting transcription systems. It provides a unified interface for the computation of commonly used Word Error Rates (WERs), specifically cpWER, ORC WER ... | [] | Train |
24,396 | 34 | Title: Ranking and Unranking k-subsequence universal words
Abstract: A subsequence of a word $w$ is a word $u$ such that $u = w[i_1] w[i_2] , \dots w[i_{|u|}]$, for some set of indices $1 \leq i_1<i_2<\dots<i_k \leq |w|$. A word $w$ is $k$-subsequence universal over an alphabet $\Sigma$ if every word in $\Sigma^k$ appe... | [
44453
] | Train |
24,397 | 6 | Title: Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations. A pedagogical and technical perspective
Abstract: Learning personalization has proven its effectiveness in enhancing learner performance. Therefore, modern digital learning platforms have been increa... | [] | Validation |
24,398 | 16 | Title: Image Stabilization for Hololens Camera in Remote Collaboration
Abstract: With the advent of new technologies, Augmented Reality (AR) has become an effective tool in remote collaboration. Narrow field-of-view (FoV) and motion blur can offer an unpleasant experience with limited cognition for remote viewers of AR... | [] | Train |
24,399 | 16 | Title: Panoptic Vision-Language Feature Fields
Abstract: Recently, methods have been proposed for 3D open-vocabulary semantic segmentation. Such methods are able to segment scenes into arbitrary classes given at run-time using their text description. In this paper, we propose to our knowledge the first algorithm for op... | [
17700,
3629,
5583,
36308,
41400
] | Test |
24,400 | 2 | Title: Existential Calculi of Relations with Transitive Closure: Complexity and Edge Saturations
Abstract: We study the decidability and complexity of equational theories of the existential calculus of relations with transitive closure (ECoR*) and its fragments, where ECoR* is the positive calculus of relations with tr... | [
15597
] | Train |
24,401 | 27 | Title: Stability analysis of admittance control using asymmetric stiffness matrix
Abstract: In contact-rich tasks, setting the stiffness of the control system is a critical factor in its performance. Although the setting range can be extended by making the stiffness matrix asymmetric, its stability has not been proven.... | [] | Train |
24,402 | 16 | Title: The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Abstract: Open-set Recognition (OSR) aims to identify test samples whose classes are not seen during the training process. Recently, Unified Open-set Recognition (UOSR) has been proposed to reject not only unknown samples but al... | [
9941,
2285,
33208
] | Train |
24,403 | 24 | Title: Improving Retrieval-Augmented Large Language Models via Data Importance Learning
Abstract: Retrieval augmentation enables large language models to take advantage of external knowledge, for example on tasks like question answering and data imputation. However, the performance of such retrieval-augmented models is... | [] | Test |
24,404 | 5 | Title: Adaptive Federated Learning via New Entropy Approach
Abstract: Federated Learning (FL) has recently emerged as a popular framework, which allows resource-constrained discrete clients to cooperatively learn the global model under the orchestration of a central server while storing privacy-sensitive data locally. ... | [] | Test |
24,405 | 13 | Title: Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training
Abstract: Spiking neural networks (SNNs) have gained attention as a promising alternative to traditional artificial neural networks (ANNs) due to their potential for energy efficiency and their ability to model spiking b... | [] | Test |
24,406 | 4 | Title: Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification
Abstract: Network Intrusion Detection Systems (NIDS) are an important component of many organizations’ cyber defense, resiliency and assurance strategies. However, one downside of these systems is their reliance on known att... | [
10275
] | Train |
24,407 | 36 | Title: Incentive Mechanism for Uncertain Tasks under Differential Privacy
Abstract: Mobile crowd sensing (MCS) has emerged as an increasingly popular sensing paradigm due to its cost-effectiveness. This approach relies on platforms to outsource tasks to participating workers when prompted by task publishers. Although i... | [] | Test |
24,408 | 9 | Title: Top-Down Lower Bounds for Depth-Four Circuits
Abstract: We present a top-down lower-bound method for depth-$4$ boolean circuits. In particular, we give a new proof of the well-known result that the parity function requires depth-$4$ circuits of size exponential in $n^{1/3}$. Our proof is an application of robust... | [] | Validation |
24,409 | 28 | Title: Optimized Constellation Design for Two User Binary Sensor Networks Using NOMA
Abstract: Data Fusion of wireless sensors is a common technique employed in many communication systems. This work focuses on incorporating the principles of non-orthogonal-multiple-access (NOMA) to optimize error performance directly i... | [] | Train |
24,410 | 24 | Title: An adaptive augmented Lagrangian method for training physics and equality constrained artificial neural networks
Abstract: Physics and equality constrained artificial neural networks (PECANN) are grounded in methods of constrained optimization to properly constrain the solution of partial differential equations ... | [
9993
] | Validation |
24,411 | 31 | Title: NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
Abstract: Learning a recommender system model from an item's raw modality features (such as image, text, audio, etc.), called MoRec, has attracted growing interest recently. One key advantage of MoRec is that it can easily benefit from... | [
4535,
1059,
3563
] | Train |
24,412 | 30 | Title: Deepfake Text Detection in the Wild
Abstract: Recent advances in large language models have enabled them to reach a level of text generation comparable to that of humans. These models show powerful capabilities across a wide range of content, including news article writing, story generation, and scientific writi... | [
31362,
33220,
27367,
19405,
497,
38235,
18134,
25367,
34074,
44603,
43930
] | Train |
24,413 | 24 | Title: Predicting multiple sclerosis disease severity with multimodal deep neural networks
Abstract: Multiple Sclerosis (MS) is a chronic disease developed in human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability ... | [] | Train |
24,414 | 34 | Title: Online Bipartite Matching in the Probe-Commit Model
Abstract: We consider the classical online bipartite matching problem in the probe-commit model. In this problem, when an online vertex arrives, its edges must be probed to determine if they exist, based on known edge probabilities. A probing algorithm must res... | [] | Train |
24,415 | 16 | Title: EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
Abstract: Video-language pre-training (VLP) has become increasingly important due to its ability to generalize to various vision and language tasks. However, existing egocentric VLP frameworks utilize separate video and language encoder... | [
10624,
20010,
45328,
6482,
8854
] | Validation |
24,416 | 28 | Title: Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for TDD MultiUser MIMO Systems
Abstract: In this letter, we investigate the discrete phase shift design of the intelligent reflecting surface (IRS) in a time division duplexing (TDD) multi-user multiple input multiple output (MIMO) sys... | [] | Train |
24,417 | 16 | Title: Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Abstract: Patients undergoing chest X-rays (CXR) often endure multiple lung diseases. When evaluating a patient's condition, due to the complex pathologies, subtle texture changes of different lung lesions in im... | [] | Test |
24,418 | 24 | Title: Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Abstract: Despite continued advancement in recent years, deep neural networks still rely on large amounts of training data to avoid overfitting. However, labeled training data for ... | [
40209,
37716,
4701,
10375
] | Train |
24,419 | 25 | Title: Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition
Abstract: Multilingual speech recognition for both monolingual and code-switching speech is a challenging task. Recently, based on the Mixture of Experts (MoE), many works have made good progress in multilingual and code-s... | [] | Test |
24,420 | 8 | Title: Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study
Abstract: With the phenomenal success of diffusion models and ChatGPT, deep generation models (DGMs) have been experiencing explosive growth from 2022. Not limited to content generation, DGMs are also w... | [
27435,
1114,
1603,
30925
] | Train |
24,421 | 13 | Title: Expand-and-Cluster: Exact Parameter Recovery of Neural Networks
Abstract: Can we recover the hidden parameters of an Artificial Neural Network (ANN) by probing its input-output mapping? We propose a systematic method, called `Expand-and-Cluster' that needs only the number of hidden layers and the activation func... | [
23724,
5510
] | Train |
24,422 | 30 | Title: Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT
Abstract: Recent supervised models for event coding vastly outperform pattern-matching methods. However, their reliance solely on new annotations disregards the vast knowledge within expert databases, hindering thei... | [
24071,
23252,
31189,
16598,
44189
] | Validation |
24,423 | 4 | Title: SeePrivacy: Automated Contextual Privacy Policy Generation for Mobile Applications
Abstract: Privacy policies have become the most critical approach to safeguarding individuals' privacy and digital security. To enhance their presentation and readability, researchers propose the concept of contextual privacy poli... | [
13409,
1661
] | Train |
24,424 | 9 | Title: Two-State Spin Systems with Negative Interactions
Abstract: We study the approximability of computing the partition functions of two-state spin systems. The problem is parameterized by a $2\times 2$ symmetric matrix. Previous results on this problem were restricted either to the case where the matrix has non-neg... | [] | Train |
24,425 | 22 | Title: Ownership guided C to Rust translation
Abstract: Dubbed a safer C, Rust is a modern programming language that combines memory safety and low-level control. This interesting combination has made Rust very popular among developers and there is a growing trend of migrating legacy codebases (very often in C) to Rust... | [] | Train |
24,426 | 6 | Title: Extending the Metaverse: Hyper-Connected Smart Environments with Mixed Reality and the Internet of Things
Abstract: The metaverse, i.e., the collection of technologies that provide a virtual twin of the real world via mixed reality, internet of things, and others, is gaining prominence. However, the metaverse fa... | [
5277,
43926
] | Train |
24,427 | 26 | Title: SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection
Abstract: Complex network analysis has brought significant advances in uncovering network mesoscopic properties. Community detection is one of the significant features of understanding real-world ... | [] | Validation |
24,428 | 10 | Title: ChipGPT: How far are we from natural language hardware design
Abstract: As large language models (LLMs) like ChatGPT exhibited unprecedented machine intelligence, it also shows great performance in assisting hardware engineers to realize higher-efficiency logic design via natural language interaction. To estimat... | [
3609,
40380,
24718
] | Train |
24,429 | 16 | Title: Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy
Abstract: In the realm of modern diagnostic technology, video capsule endoscopy (VCE) is a standout for its high efficacy and non-invasive nature in diagnosing various gastrointestinal (GI) conditions, including obscure blee... | [
21138,
40061
] | Validation |
24,430 | 33 | Title: Decision Problems on Copying and Shuffling
Abstract: We study decision problems of the form: given a regular or linear context-free language $L$, is there a word of a given fixed form in $L$, where given fixed forms are based on word operations copy, marked copy, shuffle and their combinations. | [] | Test |
24,431 | 31 | Title: Online Ad Procurement in Non-stationary Autobidding Worlds
Abstract: Today's online advertisers procure digital ad impressions through interacting with autobidding platforms: advertisers convey high level procurement goals via setting levers such as budget, target return-on-investment, max cost per click, etc.. ... | [
20296
] | Test |
24,432 | 27 | Title: Topological Trajectory Prediction with Homotopy Classes
Abstract: Trajectory prediction in a cluttered environment is key to many important robotics tasks such as autonomous navigation. However, there are an infinite number of possible trajectories to consider. To simplify the space of trajectories under conside... | [
35191
] | Train |
24,433 | 16 | Title: Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane
Abstract: Deep Implicit Functions (DIFs) have gained popularity in 3D computer vision due to their compactness and continuous representation capabilities. However, addressing dense correspondences and semantic relationships acr... | [
25816
] | Train |
24,434 | 28 | Title: Two-phase Unsourced Random Access in Massive MIMO: Performance Analysis and Approximate Message Passing Decoder
Abstract: In this paper, we design a novel two-phase unsourced random access (URA) scheme in massive multiple input multiple output (MIMO). In the first phase, we collect a sequence of information bits... | [
19329
] | Train |
24,435 | 30 | Title: SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Dataset
Abstract: In recent research on dialogue systems and corpora, there has been a significant focus on two distinct categories: task-oriented (TOD) and open-domain (chit-chat) dialogues. TOD systems aim to satisfy specific user goals, such as finding a movi... | [] | Train |
24,436 | 27 | Title: Ergonomic Collaboration between Humans and Robots: An Energy-Aware Signal Temporal Logic Perspective
Abstract: This paper presents a method for designing energy-aware collaboration tasks between humans and robots, and generating corresponding trajectories to carry out those tasks. The method involves using high-... | [
19735
] | Train |
24,437 | 17 | Title: Screen Space Indirect Lighting with Visibility Bitmask
Abstract: nan | [] | Train |
24,438 | 5 | Title: Arbitrary Pattern Formation on a Continuous Circle by Oblivious Robot Swarm
Abstract: In the field of distributed system, Arbitrary Pattern Formation (APF) problem is an extensively studied problem. The purpose of APF is to design an algorithm to move a swarm of robots to a particular position on an environment ... | [] | Test |
24,439 | 27 | Title: Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation
Abstract: Simulation is essential to reinforcement learning (RL) before implementation in the real world, especially for safety-critical applications like robot manipulation. Conventionall... | [] | Validation |
24,440 | 30 | Title: PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Abstract: Instruction tuning large language models (LLMs) remains a challenging task, owing to the complexity of hyperparameter selection and the difficulty involved in evaluating the tuned models. To determine the optimal hyperpa... | [
13700,
27271,
21012,
25751,
45470,
11425,
13345,
2347,
26035,
12602,
9403,
2622,
29375,
33220,
15049,
29396,
19671,
8942,
42991
] | Test |
24,441 | 24 | Title: Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
Abstract: This paper studies the sample-efficiency of learning in Partially Observable Markov Decision Processes (POMDPs), a challenging problem in reinforcement learning that is known to be exponentially hard in the worst-case. Motivate... | [
25796,
37189,
26407
] | Train |
24,442 | 24 | Title: TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Abstract: In cross-device Federated Learning (FL) environments, scaling synchronous FL methods is challenging as stragglers hinder the training process. Moreover, the availability of each client to join the training is h... | [
21146
] | Train |
24,443 | 16 | Title: AltFreezing for More General Video Face Forgery Detection
Abstract: Existing face forgery detection models try to discriminate fake images by detecting only spatial artifacts (e.g., generative artifacts, blending) or mainly temporal artifacts (e.g., flickering, discontinuity). They may experience significant per... | [
16018
] | Test |
24,444 | 24 | Title: Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process
Abstract: Continuously-worn wearable sensors enable researchers to collect copious amounts of rich bio-behavioral time series recordings of real-life activities of daily living,... | [
39898
] | Validation |
24,445 | 24 | Title: An engine to simulate insurance fraud network data
Abstract: Traditionally, the detection of fraudulent insurance claims relies on business rules and expert judgement which makes it a time-consuming and expensive process (\'Oskarsd\'ottir et al., 2022). Consequently, researchers have been examining ways to devel... | [] | Train |
24,446 | 24 | Title: Multi-View Class Incremental Learning
Abstract: Multi-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance. To make MVL methods more practical in an open-ended environment, this paper investigates a novel paradigm c... | [
26420
] | Train |
24,447 | 27 | Title: A Smart Robotic System for Industrial Plant Supervision
Abstract: In today's chemical plants, human field operators perform frequent integrity checks to guarantee high safety standards, and thus are possibly the first to encounter dangerous operating conditions. To alleviate their task, we present a system consi... | [] | Train |
24,448 | 26 | Title: Inferring Causal Effects Under Heterogeneous Peer Influence
Abstract: Causal inference in networks should account for interference, which occurs when a unit's outcome is influenced by treatments or outcomes of peers. There can be heterogeneous peer influence between units when a unit's outcome is subjected to va... | [] | Train |
24,449 | 13 | Title: Neural network models
Abstract: This work presents the current collection of mathematical models related to neural networks and proposes a new family of such with extended structure and dynamics in order to attain a selection of cognitive capabilities. It starts by providing a basic background to the morphology ... | [] | Train |
24,450 | 9 | Title: Can You Solve Closest String Faster than Exhaustive Search?
Abstract: We study the fundamental problem of finding the best string to represent a given set, in the form of the Closest String problem: Given a set $X \subseteq \Sigma^d$ of $n$ strings, find the string $x^*$ minimizing the radius of the smallest Ham... | [] | Train |
24,451 | 24 | Title: Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
Abstract: Nonnegative tensor decomposition has been widely applied in signal processing and neuroscience, etc. When it comes to group analysis of multi-block tensors, traditional tensor decomposition is i... | [] | Test |
24,452 | 24 | Title: AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients
Abstract: The widespread adoption of Federated Learning (FL), a privacy-preserving distributed learning methodology, has been impeded by the challenge of high communication overheads, typically arising fr... | [] | Test |
24,453 | 27 | Title: GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM
Abstract: Inferring the posterior distribution in SLAM is critical for evaluating the uncertainty in localization and mapping, as well as supporting subsequent planning tasks aiming to reduce uncertainty for safe naviga... | [] | Validation |
24,454 | 16 | Title: Bicubic++: Slim, Slimmer, Slimmest Designing an Industry-Grade Super-Resolution Network
Abstract: We propose a real-time and lightweight single-image super-resolution (SR) network named Bicubic++. Despite using spatial dimensions of the input image across the whole network, Bicubic++ first learns quick reversibl... | [] | Train |
24,455 | 18 | Title: Artificial intelligence for molecular communication
Abstract: Abstract Molecular communication is a novel approach for data transmission between miniaturised devices, especially in contexts where electrical signals are to be avoided. The communication is based on sending molecules (or other particles) at nanosca... | [
7036,
1597
] | Test |
24,456 | 27 | Title: Online Non-linear Centroidal MPC for Humanoid Robots Payload Carrying with Contact-Stable Force Parametrization
Abstract: In this paper we consider the problem of allowing a humanoid robot that is subject to a persistent disturbance, in the form of a payload-carrying task, to follow given planned footsteps. To s... | [] | Train |
24,457 | 24 | Title: mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor
Abstract: For widespread adoption, public security and surveillance systems must be accurate, portable, compact, and real-time, without impeding the privacy of the individuals being observed. Current systems broadly fall into two categories -- im... | [] | Train |
24,458 | 10 | Title: Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks
Abstract: Brain disorders in the early and late life of humans potentially share pathological alterations in brain functions. However, the key evidence from neuroimaging data for patho... | [] | Train |
24,459 | 16 | Title: Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images.
Abstract: Self-supervised pretraining attempts to enhance model performance by obtaining effective features from unlabeled data, and has demonstrated its effectiveness in the field of histopathology ima... | [] | Train |
24,460 | 34 | Title: A Noise Resilient Transformation for Streaming Algorithms
Abstract: In a streaming algorithm, Bob receives an input $x \in \{0,1\}^n$ via a stream and must compute a function $f$ in low space. However, this function may be fragile to errors in the input stream. In this work, we investigate what happens when the ... | [] | Train |
24,461 | 24 | Title: Resource-Efficient Federated Hyperdimensional Computing
Abstract: In conventional federated hyperdimensional computing (HDC), training larger models usually results in higher predictive performance but also requires more computational, communication, and energy resources. If the system resources are limited, one... | [
6098,
636
] | Train |
24,462 | 4 | Title: A Multiagent CyberBattleSim for RL Cyber Operation Agents
Abstract: Hardening cyber physical assets is both crucial and labor-intensive. Recently, Machine Learning (ML) in general and Reinforcement Learning RL) more specifically has shown great promise to automate tasks that otherwise would require significant h... | [
36550,
21974
] | Train |
24,463 | 3 | Title: Frugal Computing - On the need for low-carbon and sustainable computing and the path towards zero-carbon computing
Abstract: The current emissions from computing are almost 4% of the world total. This is already more than emissions from the airline industry and are projected to rise steeply over the next two dec... | [] | Train |
24,464 | 24 | Title: ChatGPT or academic scientist? Distinguishing authorship with over 99% accuracy using off-the-shelf machine learning tools
Abstract: ChatGPT has enabled access to AI-generated writing for the masses, and within just a few months, this product has disrupted the knowledge economy, initiating a culture shift in the... | [
38235,
16827,
43930
] | Train |
24,465 | 15 | Title: RAD-Sim: Rapid Architecture Exploration for Novel Reconfigurable Acceleration Devices
Abstract: With the continued growth in field-programmable gate array (FPGA) capacity and their incorporation into new environments such as datacenters, we have witnessed the introduction of a new class of reconfigurable acceler... | [] | Train |
24,466 | 24 | Title: Geometry of Score Based Generative Models
Abstract: In this work, we look at Score-based generative models (also called diffusion generative models) from a geometric perspective. From a new view point, we prove that both the forward and backward process of adding noise and generating from noise are Wasserstein g... | [
35322
] | Train |
24,467 | 4 | Title: Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendations
Abstract: Chatbots shifted from rule-based to artificial intelligence techniques and gained traction in medicine, shopping, customer services, food delivery, education, and research. OpenAI d... | [
33220,
45190,
20487,
7530,
32084,
44246,
3614
] | Validation |
24,468 | 14 | Title: A Poly-algorithmic Approach to Quantifier Elimination
Abstract: Cylindrical Algebraic Decomposition (CAD) was the first practical means for doing real quantifier elimination (QE), and is still a major method, with many improvements since Collins' original method. Nevertheless, its complexity is inherently doubly... | [
3863
] | Validation |
24,469 | 16 | Title: MSViT: Dynamic Mixed-Scale Tokenization for Vision Transformers
Abstract: The input tokens to Vision Transformers carry little semantic meaning as they are defined as regular equal-sized patches of the input image, regardless of its content. However, processing uniform background areas of an image should not nec... | [
14601,
40167
] | Train |
24,470 | 6 | Title: Approach Intelligent Writing Assistants Usability with Seven Stages of Action
Abstract: Despite the potential of Large Language Models (LLMs) as writing assistants, they are plagued by issues like coherence and fluency of the model output, trustworthiness, ownership of the generated content, and predictability o... | [] | Test |
24,471 | 23 | Title: Hawkeye: Change-targeted Testing for Android Apps based on Deep Reinforcement Learning
Abstract: Android Apps are frequently updated to keep up with changing user, hardware, and business demands. Ensuring the correctness of App updates through extensive testing is crucial to avoid potential bugs reaching the end... | [] | Train |
24,472 | 16 | Title: DevelSet: Deep Neural Level Set for Instant Mask Optimization
Abstract: With the feature size continuously shrinking in advanced technology nodes, mask optimization is increasingly crucial in the conventional design flow, accompanied by an explosive growth in prohibitive computational overhead in optical proximi... | [
24000,
44394
] | Train |
24,473 | 24 | Title: Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
Abstract: The machine learning modeling process conventionally culminates in selecting a single model that maximizes a selected performance metric. However, this approach leads to abandoning a more profound analysis of slightly inf... | [
44408
] | Validation |
24,474 | 16 | Title: WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting
Abstract: Image inpainting, which refers to the synthesis of missing regions in an image, can help restore occluded or degraded areas and also serve as a precursor task for self-supervision. The current state-of-the-art models for image inp... | [] | Train |
24,475 | 24 | Title: Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
Abstract: Accurate bot detection is necessary for the safety and integrity of online platforms. It is also crucial for research on the influence of bots in elections, the spread of misinformation, and f... | [
9536,
39330,
16628,
13383
] | Validation |
24,476 | 27 | Title: RGBlimp: Robotic Gliding Blimp - Design, Modeling, Development, and Aerodynamics Analysis
Abstract: A miniature robotic blimp, as one type of lighter-than-air aerial vehicle, has attracted increasing attention in the science and engineering field for its long flight duration and safe aerial locomotion. While a v... | [] | Train |
24,477 | 24 | Title: Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
Abstract: Federated Learning (FL) is a distributed machine learning approach that safeguards privacy by creating an impartial global model while respecting the privacy of individual client data. However, the conventional FL meth... | [] | Test |
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