node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
43,778 | 26 | Title: Asymmetry of social interactions and its role in link predictability: The case of coauthorship networks
Abstract: nan | [] | Train |
43,779 | 24 | Title: The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
Abstract: We study the type of solutions to which stochastic gradient descent converges when used to train a single hidden-layer multivariate ReLU network with the quadratic loss. Our results are based on a dynamical stability analysis. ... | [] | Train |
43,780 | 22 | Title: Proceedings 14th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software, PLACES@ETAPS 2023, Paris, France, 22 April 2023
Abstract: This volume contains the proceedings of PLACES 2023, the 14th edition of the Workshop on Programming Language Approaches to Concurrency and Com... | [] | Train |
43,781 | 16 | Title: ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment
Abstract: The objective of stylized speech-driven facial animation is to create animations that encapsulate specific emotional expressions. Existing methods often depend on pre-established emotional labels or facial expression templates, which ... | [
14507,
39339,
23638,
25287
] | Train |
43,782 | 10 | Title: Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
Abstract: Recent studies have demonstrated the susceptibility of deep neural networks to backdoor attacks. Given a backdoored model, its prediction of a poisoned sample with trigger will be dominated by the trigger inf... | [
19680,
6222,
4903
] | Test |
43,783 | 7 | Title: Sequential Deep Operator Networks (S-DeepONet) for Predicting Full-field Solutions Under Time-dependent Loads
Abstract: Deep Operator Network (DeepONet), a recently introduced deep learning operator network, approximates linear and nonlinear solution operators by taking parametric functions (infinite-dimensional... | [
13424,
2780,
29824
] | Validation |
43,784 | 24 | Title: Generalised f-Mean Aggregation for Graph Neural Networks
Abstract: Graph Neural Network (GNN) architectures are defined by their implementations of update and aggregation modules. While many works focus on new ways to parametrise the update modules, the aggregation modules receive comparatively little attention.... | [] | Train |
43,785 | 4 | Title: Bridging the Bubbles: Connecting Academia and Industry in Cybersecurity Research
Abstract: There is a perceived disconnect between how ad hoc industry solutions and academic research solutions in cyber security are developed and applied. Is there a difference in philosophy in how solutions to cyber security prob... | [
8386
] | Train |
43,786 | 16 | Title: ViTO: Vision Transformer-Operator
Abstract: We combine vision transformers with operator learning to solve diverse inverse problems described by partial differential equations (PDEs). Our approach, named ViTO, combines a U-Net based architecture with a vision transformer. We apply ViTO to solve inverse PDE probl... | [
2075,
25821,
37318,
36735
] | Train |
43,787 | 33 | Title: On the Degree of Extension of Some Models Defining Non-Regular Languages
Abstract: This work is a survey of the main results reported for the degree of extension of two models defining non-regular languages, namely the context-free grammar and the extended automaton over groups. More precisely, we recall the mai... | [] | Validation |
43,788 | 31 | Title: HyHTM: Hyperbolic Geometry based Hierarchical Topic Models
Abstract: Hierarchical Topic Models (HTMs) are useful for discovering topic hierarchies in a collection of documents. However, traditional HTMs often produce hierarchies where lowerlevel topics are unrelated and not specific enough to their higher-level ... | [] | Test |
43,789 | 5 | Title: Parallel two-stage reduction to Hessenberg-triangular form
Abstract: We present a two-stage algorithm for the parallel reduction of a pencil to Hessenberg-triangular form. Traditionally, two-stage Hessenberg-triangular reduction algorithms achieve high performance in the first stage, but struggle to achieve high ... | [] | Validation |
43,790 | 30 | Title: The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents
Abstract: We introduce the StatCan Dialogue Dataset consisting of 19,379 conversation turns between agents working at Statistics Canada and online users looking for published data tables. The conversations stem from g... | [] | Train |
43,791 | 24 | Title: Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Abstract: ``Effective robustness'' measures the extra out-of-distribution (OOD) robustness beyond what can be predicted from the in-distribution (ID) performance. Existing effective robustness evaluations typically u... | [
13144
] | Train |
43,792 | 27 | Title: Learning and Adapting Agile Locomotion Skills by Transferring Experience
Abstract: Legged robots have enormous potential in their range of capabilities, from navigating unstructured terrains to high-speed running. However, designing robust controllers for highly agile dynamic motions remains a substantial challe... | [
710,
8231,
9673,
7535,
10943,
34398,
6559
] | Validation |
43,793 | 26 | Title: Exploring Downvoting in Blockchain-based Online Social Media Platforms
Abstract: In recent years, Blockchain-based Online Social Media (BOSM) platforms have evolved fast due to the advancement of blockchain technology. BOSM can effectively overcome the problems of traditional social media platforms, such as a si... | [] | Train |
43,794 | 8 | Title: Lightweight privacy-preserving truth discovery for vehicular air quality monitoring
Abstract: nan | [] | Train |
43,795 | 16 | Title: SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
Abstract: The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised image segmentation. To apply SAM to surgical instrument segmentation, a common approach is to locate precise points or boxes of instruments an... | [
19907,
5864,
44854,
14168,
5497,
43102
] | Test |
43,796 | 25 | Title: Unified Modeling of Multi-Talker Overlapped Speech Recognition and Diarization with a Sidecar Separator
Abstract: Multi-talker overlapped speech poses a significant challenge for speech recognition and diarization. Recent research indicated that these two tasks are inter-dependent and complementary, motivating u... | [
14608
] | Train |
43,797 | 3 | Title: Ethical Considerations Towards Protestware
Abstract: A key drawback to using a Open Source third-party library is the risk of introducing malicious attacks. In recently times, these threats have taken a new form, when maintainers turn their Open Source libraries into protestware. This is defined as software cont... | [] | Train |
43,798 | 28 | Title: Mixing a Covert and a Non-Covert User
Abstract: This paper establishes the fundamental limits of a two-user single-receiver system where communication from User 1 (but not from User 2) needs to be undetectable to an external warden. Our fundamental limits show a tradeoff between the highest rates (or square-root... | [] | Validation |
43,799 | 16 | Title: MoStGAN-V: Video Generation with Temporal Motion Styles
Abstract: Video generation remains a challenging task due to spatiotemporal complexity and the requirement of synthesizing diverse motions with temporal consistency. Previous works attempt to generate videos in arbitrary lengths either in an autoregressive ... | [
38696
] | Train |
43,800 | 16 | Title: LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking
Abstract: Accurate tracking of an anatomical landmark over time has been of high interests for disease assessment such as minimally invasive surgery and tumor radiation therapy. Ultrasound imaging is a promising modality ben... | [] | Test |
43,801 | 16 | Title: Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance
Abstract: Fine-grained multi-label classification models have broad applications in e-commerce, such as visual based label predictions ranging from fashion attribute detection to brand recognition. One... | [
2881,
33697,
44615,
14349,
33039,
13682
] | Train |
43,802 | 6 | Title: Balancing the Digital and the Physical: Discussing Push and Pull Factors for Digital Well-being
Abstract: This position paper discusses the negative effects of excessive smartphone usage on mental health and well-being. Despite efforts to limit smartphone usage, users become desensitized to reminders and limitat... | [] | Train |
43,803 | 34 | Title: 3-Coloring C4 or C3-Free Diameter Two Graphs
Abstract: nan | [] | Train |
43,804 | 24 | Title: Rethinking Gauss-Newton for learning over-parameterized models
Abstract: This work studies the global convergence and generalization properties of Gauss Newton's (GN) when optimizing one-hidden layer networks in the over-parameterized regime. We first establish a global convergence result for GN in the continuou... | [
25992
] | Validation |
43,805 | 16 | Title: TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Abstract: Time-to-Contact (TTC) estimation is a critical task for assessing collision risk and is widely used in various driver assistance and autonomous driving systems. The past few decades have witnessed development of related th... | [
26484
] | Validation |
43,806 | 24 | Title: Master's Thesis: Out-of-distribution Detection with Energy-based Models
Abstract: Today, deep learning is increasingly applied in security-critical situations such as autonomous driving and medical diagnosis. Despite its success, the behavior and robustness of deep networks are not fully understood yet, posing a... | [] | Test |
43,807 | 30 | Title: A negation detection assessment of GPTs: analysis with the xNot360 dataset
Abstract: Negation is a fundamental aspect of natural language, playing a critical role in communication and comprehension. Our study assesses the negation detection performance of Generative Pre-trained Transformer (GPT) models, specific... | [
13700,
37349,
15301,
4071,
35388
] | Train |
43,808 | 2 | Title: Process-Algebraic Models of Multi-Writer Multi-Reader Non-Atomic Registers
Abstract: We present process-algebraic models of multi-writer multi-reader safe, regular and atomic registers. We establish the relationship between our models and alternative versions presented in the literature. We use our models to for... | [] | Train |
43,809 | 4 | Title: Demystifying security and compatibility issues in Android Apps
Abstract: Never before has any OS been so popular as Android. Existing mobile phones are not simply devices for making phone calls and receiving SMS messages, but powerful communication and entertainment platforms for web surfing, social networking, ... | [] | Train |
43,810 | 27 | Title: Safe Collision and Clamping Reaction for Parallel Robots During Human-Robot Collaboration
Abstract: Parallel robots (PRs) offer the potential for safe human-robot collaboration because of their low moving masses. Due to the in-parallel kinematic chains, the risk of contact in the form of collisions and clamping ... | [
44609,
25937
] | Validation |
43,811 | 2 | Title: Preservation theorems for Tarski's relation algebra
Abstract: We investigate a number of semantically defined fragments of Tarski's algebra of binary relations, including the function-preserving fragment. We address the question whether they are generated by a finite set of operations. We obtain several positive... | [] | Test |
43,812 | 30 | Title: Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content
Abstract: In this paper, we tackle the emerging challenge of unintended harmful content generation in Large Language Models (LLMs) with a novel dual-stage optimisation technique ... | [
40192,
8673,
14337,
15601,
7796,
45079
] | Validation |
43,813 | 24 | Title: Control of a simulated MRI scanner with deep reinforcement learning
Abstract: Magnetic resonance imaging (MRI) is a highly versatile and widely used clinical imaging tool. The content of MRI images is controlled by an acquisition sequence, which coordinates the timing and magnitude of the scanner hardware activa... | [] | Test |
43,814 | 3 | Title: Building Dynamic Ontological Models for Place using Social Media Data from Twitter and Sina Weibo
Abstract: Place holds human thoughts and experiences. Space is defined with geometric measurement and coordinate systems. Social media served as the connection between place and space. In this study, we use social m... | [] | Test |
43,815 | 37 | Title: A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too?
Abstract: While in-memory learned indexes have shown promising performance as compared to B+-tree, most widely used databases in real applications still rely on disk-based operations. Based on our experiments, we observe tha... | [] | Train |
43,816 | 26 | Title: BotArtist: Twitter bot detection Machine Learning model based on Twitter suspension
Abstract: Twitter as one of the most popular social networks, offers a means for communication and online discourse, which unfortunately has been the target of bots and fake accounts, leading to the manipulation and spreading of ... | [] | Test |
43,817 | 36 | Title: Votemandering: Strategies and Fairness in Political Redistricting
Abstract: Gerrymandering, the deliberate manipulation of electoral district boundaries for political advantage, is a persistent issue in U.S. redistricting cycles. This paper introduces and analyzes a new phenomenon, 'votemandering'- a strategic b... | [
1125
] | Train |
43,818 | 6 | Title: Hyper-automation-The next peripheral for automation in IT industries
Abstract: The extension of legacy business process automation beyond the bounds of specific processes is known as hyperautomation. Hyperautomation provides automation for nearly any repetitive action performed by business users by combining AI ... | [] | Train |
43,819 | 24 | Title: n-Step Temporal Difference Learning with Optimal n
Abstract: We consider the problem of finding the optimal value of n in the n-step temporal difference (TD) learning algorithm. We find the optimal n by resorting to a model-free optimization technique involving a one-simulation simultaneous perturbation stochast... | [] | Train |
43,820 | 8 | Title: Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation
Abstract: Federated learning (FL) has found many successes in wireless networks; however, the implementation of FL has been hindered by the energy limitation of mobile devices (MDs) and the... | [] | Train |
43,821 | 34 | Title: On Sensitivity of Compact Directed Acyclic Word Graphs
Abstract: Compact directed acyclic word graphs (CDAWGs) [Blumer et al. 1987] are a fundamental data structure on strings with applications in text pattern searching, data compression, and pattern discovery. Intuitively, the CDAWG of a string $T$ is obtained ... | [] | Test |
43,822 | 16 | Title: Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation
Abstract: The video frame interpolation (VFI) model applies the convolution operation to all locations, leading to redundant computations in regions with easy motion. We can use dynamic spatial pruning method to skip redundant comp... | [] | Train |
43,823 | 6 | Title: The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems
Abstract: Deductive domains are typical of many cognitive skills in that no single problem-solving strategy is always optimal for solving all problems. It was shown that students who know ... | [
27554,
28811,
38919
] | Train |
43,824 | 30 | Title: Types of Approaches, Applications and Challenges in the Development of Sentiment Analysis Systems
Abstract: Today, the web has become a mandatory platform to express users' opinions, emotions and feelings about various events. Every person using his smartphone can give his opinion about the purchase of a product... | [] | Test |
43,825 | 30 | Title: HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge
Abstract: The semantic parsing-based method is an important research branch for knowledge-based question answering. It usually generates executable programs lean upon the question and then conduct them to reaso... | [] | Train |
43,826 | 24 | Title: An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem
Abstract: Wasserstein Barycenter Problem (WBP) has recently received much attention in the field of artificial intelligence. In this paper, we focus on the decentralized setting for WBP and propose an asynchronous decentralized algorithm ... | [] | Validation |
43,827 | 30 | Title: Knowing-how & Knowing-that: A New Task for Machine Reading Comprehension of User Manuals
Abstract: The machine reading comprehension (MRC) of user manuals has huge potential in customer service. However, current methods have trouble answering complex questions. Therefore, we introduce the Knowing-how&Knowing-tha... | [
201
] | Test |
43,828 | 24 | Title: Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
Abstract: The proliferation of pretrained models, as a result of advancements in pretraining techniques, has led to the emergence of a vast zoo of publicly available models. Effectively utilizing these resources to obtain models wit... | [] | Train |
43,829 | 6 | Title: PokAR: Facilitating Poker Play Through Augmented Reality
Abstract: We introduce PokAR, an augmented reality (AR) application to facilitate poker play. PokAR aims to alleviate three difficulties of traditional poker by leveraging AR technology: (1) need to have physical poker chips, (2) complex rules of poker, (3... | [] | Validation |
43,830 | 16 | Title: Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
Abstract: The increasing tendency to collect large and uncurated datasets to train vision-and-language models has raised concerns about fair representations. It is known that even small but manually annotated datasets, such as MSCOCO, are affected... | [
9181,
26004,
3157
] | Test |
43,831 | 24 | Title: SAM operates far from home: eigenvalue regularization as a dynamical phenomenon
Abstract: The Sharpness Aware Minimization (SAM) optimization algorithm has been shown to control large eigenvalues of the loss Hessian and provide generalization benefits in a variety of settings. The original motivation for SAM was... | [
1136
] | Test |
43,832 | 5 | Title: Mitigation of liveness attacks in DAG-based ledgers
Abstract: The robust construction of the ledger data structure is an essential ingredient for the safe operation of a distributed ledger. While in traditional linear blockchain systems, permission to append to the structure is leader-based, in Directed Acyclic ... | [
17332
] | Train |
43,833 | 16 | Title: Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training
Abstract: The Visual Question Answering (VQA) system offers a user-friendly interface and enables human-computer interaction. However, VQA models commonly face the challenge of language bias, resulting from the learned ... | [
9483,
24750
] | Train |
43,834 | 30 | Title: MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module
Abstract: We present MooseNet, a trainable speech metric that predicts the listeners' Mean Opinion Score (MOS). We propose a novel approach where the Probabilistic Linear Discriminative Analysis (PLDA) generative model is used on top of an em... | [] | Train |
43,835 | 16 | Title: INV: Towards Streaming Incremental Neural Videos
Abstract: Recent works in spatiotemporal radiance fields can produce photorealistic free-viewpoint videos. However, they are inherently unsuitable for interactive streaming scenarios (e.g. video conferencing, telepresence) because have an inevitable lag even if th... | [
12161
] | Train |
43,836 | 16 | Title: GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
Abstract: Object pose estimation plays a vital role in embodied AI and computer vision, enabling intelligent agents to comprehend and interact with their surroundings. Despite the practicality of category-level pose estimation, curren... | [
21152,
19482,
31562
] | Train |
43,837 | 27 | Title: Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization
Abstract: This paper presents a fully decentralized approach for realtime non-cooperative multi-robot navigation in social mini-games, such as navigating through a narrow doorway or negotiating right of way at a corridor inters... | [
33142,
7582
] | Train |
43,838 | 30 | Title: Formal specification terminology for demographic agent-based models of fixed-step single-clocked simulations
Abstract: This document presents adequate formal terminology for the mathematical specification of a subset of Agent Based Models (ABMs) in the field of Demography. The simulation of the targeted ABMs fol... | [
14430
] | Validation |
43,839 | 10 | Title: Self-Supervised Temporal Analysis of Spatiotemporal Data
Abstract: There exists a correlation between geospatial activity temporal patterns and type of land use. A novel self-supervised approach is proposed to stratify landscape based on mobility activity time series. First, the time series signal is transformed... | [] | Train |
43,840 | 30 | Title: Detecting Reddit Users with Depression Using a Hybrid Neural Network
Abstract: Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It is also one of the main contributors to disability worldwide. Recently it is becoming popular for individuals to use social media... | [] | Validation |
43,841 | 16 | Title: Deep Equilibrium Multimodal Fusion
Abstract: Multimodal fusion integrates the complementary information present in multiple modalities and has gained much attention recently. Most existing fusion approaches either learn a fixed fusion strategy during training and inference, or are only capable of fusing the info... | [] | Train |
43,842 | 28 | Title: Efficient Interpolation-Based Decoding of Reed-Solomon Codes
Abstract: We propose a new interpolation-based error decoding algorithm for (n,k) Reed-Solomon (RS) codes over a finite field of size q, where n = q − 1 is the length and k is the dimension. In particular, we employ the fast Fourier transform (FFT) tog... | [] | Train |
43,843 | 16 | Title: UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation
Abstract: In the field of Image-to-Image (I2I) translation, ensuring consistency between input images and their translated results is a key requirement for producing high-quality and desirable outputs. Previous I2I methods have re... | [] | Train |
43,844 | 16 | Title: Slovo: Russian Sign Language Dataset
Abstract: One of the main challenges of the sign language recognition task is the difficulty of collecting a suitable dataset due to the gap between hard-of-hearing and hearing societies. In addition, the sign language in each country differs significantly, which obliges the ... | [
8424
] | Train |
43,845 | 15 | Title: Statistical Hardware Design With Multi-model Active Learning
Abstract: With the rising complexity of numerous novel applications that serve our modern society comes the strong need to design efficient computing platforms. Designing efficient hardware is, however, a complex multi-objective problem that deals with... | [] | Train |
43,846 | 34 | Title: Advice Complexity bounds for Online Delayed F-Node-, H-Node- and H-Edge-Deletion Problems
Abstract: Let F be a fixed finite obstruction set of graphs and G be a graph revealed in an online fashion, node by node. The online Delayed F-Node-Deletion Problem (F-Edge-Deletion Problem}) is to keep G free of every H in... | [] | Train |
43,847 | 30 | Title: Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Abstract: Current work on image-based story generation suffers from the fact that the existing image sequence collections do not have coherent plots behind them. We improve visual story generation by producing a new image-gr... | [
27973
] | Train |
43,848 | 4 | Title: A new color image secret sharing protocol
Abstract: Visual cryptography aims to protect images against their possible illegitimate use. Thus, one can cipher, hash, or add watermarks for protecting copyright, among others. In this paper we provide a new solution to the problem of secret sharing for the case when ... | [] | Train |
43,849 | 34 | Title: Matching Statistics speed up BWT construction
Abstract: Due to the exponential growth of genomic data, constructing dedicated data structures has become the principal bottleneck in common bioinformatics applications. In particular, the Burrows-Wheeler Transform (BWT) is the basis of some of the most popular self... | [] | Train |
43,850 | 8 | Title: MonArch: Network Slice Monitoring Architecture for Cloud Native 5G Deployments
Abstract: Automated decision making algorithms are expected to play a key role in management and orchestration of network slices in 5G and beyond networks. State-of-the-art algorithms for automated orchestration and management tend to... | [] | Train |
43,851 | 24 | Title: Dance Generation by Sound Symbolic Words
Abstract: This study introduces a novel approach to generate dance motions using onomatopoeia as input, with the aim of enhancing creativity and diversity in dance generation. Unlike text and music, onomatopoeia conveys rhythm and meaning through abstract word expressions... | [] | Train |
43,852 | 27 | Title: Multimodal Grounding for Embodied AI via Augmented Reality Headsets for Natural Language Driven Task Planning
Abstract: Recent advances in generative modeling have spurred a resurgence in the field of Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to physical systems c... | [
8084,
295
] | Test |
43,853 | 24 | Title: FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Abstract: Social bot detection is of paramount importance to the resilience and security of online social platforms. The state-of-the-art detection models are siloed and have largely overlooked... | [
4557
] | Train |
43,854 | 18 | Title: Graphene-based RRAM devices for neural computing
Abstract: Resistive random access memory (RRAM) is very well known for its potential application in in-memory and neural computing. However, they often have different types of device-to-device and cycle-to-cycle variability. This makes it harder to build highly ac... | [] | Train |
43,855 | 30 | Title: An algebraic approach to translating Japanese
Abstract: We use Lambek’s pregroups and the framework of compositional distributional models of language (“DisCoCat”) to study translations from Japanese to English as pairs of functors. Adding decorations to pregroups, we show how to handle word order changes betwee... | [] | Validation |
43,856 | 24 | Title: On Data Imbalance in Molecular Property Prediction with Pre-training
Abstract: Revealing and analyzing the various properties of materials is an essential and critical issue in the development of materials, including batteries, semiconductors, catalysts, and pharmaceuticals. Traditionally, these properties have ... | [] | Validation |
43,857 | 2 | Title: On Model-Checking Higher-Order Effectful Programs (Long Version)
Abstract: Model-checking is one of the most powerful techniques for verifying systems and programs, which since the pioneering results by Knapik et al., Ong, and Kobayashi, is known to be applicable to functional programs with higher-order types ag... | [] | Train |
43,858 | 16 | Title: ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
Abstract: Whole slide image (WSI) analysis has become increasingly important in the medical imaging community, enabling automated and objective diagnosis, prognosis, and therapeu... | [] | Train |
43,859 | 31 | Title: Reciprocal Sequential Recommendation
Abstract: Reciprocal recommender system (RRS), considering a two-way matching between two parties, has been widely applied in online platforms like online dating and recruitment. Existing RRS models mainly capture static user preferences, which have neglected the evolving use... | [] | Validation |
43,860 | 16 | Title: The impact of individual information exchange strategies on the distribution of social wealth
Abstract: Wealth distribution is a complex and critical aspect of any society. Information exchange is considered to have played a role in shaping wealth distribution patterns, but the specific dynamic mechanism is stil... | [] | Train |
43,861 | 37 | Title: IWEK: An Interpretable What-If Estimator for Database Knobs
Abstract: The knobs of modern database management systems have significant impact on the performance of the systems. With the development of cloud databases, an estimation service for knobs is urgently needed to improve the performance of database. Unfo... | [] | Test |
43,862 | 4 | Title: RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation
Abstract: IIoT (Industrial Internet-of-Things) systems are getting more prone to attacks by APT (Advanced Persistent Threat) adversaries. Past APT attacks on IIoT systems such as the 2016 Ukrainian power grid attack which... | [] | Train |
43,863 | 24 | Title: Constrained Exploration in Reinforcement Learning with Optimality Preservation
Abstract: We consider a class of reinforcement-learning systems in which the agent follows a behavior policy to explore a discrete state-action space to find an optimal policy while adhering to some restriction on its behavior. Such r... | [] | Train |
43,864 | 16 | Title: Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models
Abstract: Numerous pre-training techniques for visual document understanding (VDU) have recently shown substantial improvements in performance across a wide range of document tasks. However, these pre-trained VDU ... | [] | Test |
43,865 | 24 | Title: Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?
Abstract: This study examines the impact of optimizing the Stable Diffusion (SD) guided inference pipeline. We propose optimizing certain denoising steps by limiting the noise computation to conditional noise and eliminating unconditi... | [
8308
] | Train |
43,866 | 30 | Title: Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS
Abstract: Existing sentence textual similarity benchmark datasets only use a single number to summarize how similar the sentence encoder's decision is to humans'. However, it is unclear what kind of sentence pairs a sentence encoder (SE) would cons... | [] | Train |
43,867 | 16 | Title: Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
Abstract: Recent text-to-image generative models have demonstrated an unparalleled ability to generate diverse and creative imagery guided by a target text prompt. While revolutionary, current state-of-the-art diffusion model... | [
37126,
43911,
25739,
30737,
41874,
7955,
35348,
21014,
30360,
24986,
15132,
15901,
25117,
20514,
2211,
37283,
45477,
31913,
7850,
1836,
18220,
39603,
40632,
24763,
18240,
25666,
36168,
7505,
23677,
44757,
1244,
34141,
14047,
6880,
20451,
23021,
... | Train |
43,868 | 24 | Title: Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders
Abstract: Materials informatics (MI), which uses artificial intelligence and data analysis techniques to improve the efficiency of materials development, is attracting increasing interest from industry. One of its main applications is the... | [] | Validation |
43,869 | 16 | Title: GlueStick: Robust Image Matching by Sticking Points and Lines Together
Abstract: Line segments are powerful features complementary to points. They offer structural cues, robust to drastic viewpoint and illumination changes, and can be present even in texture-less areas. However, describing and matching them is m... | [
13849
] | Train |
43,870 | 6 | Title: Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wild
Abstract: Multimodal Learning Analytics (MMLA) innovations make use of rapidly evolving sensing and artificial intelligence algorithms to collect rich data about learning activities that unfold in physical spaces. The analysis of these da... | [] | Test |
43,871 | 4 | Title: Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection
Abstract: Programmable data planes offer precise control over the low-level processing steps applied to network packets, serving as a valuable tool for analysing malicious flows in the field of intrusion detectio... | [] | Validation |
43,872 | 24 | Title: Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
Abstract: Recent years have seen a growing interest in accelerating optimization algorithms with machine-learned predictions. Sakaue and Oki (NeurIPS 2022) have developed a general framework that warm-starts the L-convex function mi... | [
23586,
34604
] | Test |
43,873 | 24 | Title: Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
Abstract: Learning accurate predictive models of real-world dynamic phenomena (e.g., climate, biological) remains a challenging task. One key issue is that the data generated by both natural and artificial processes often comprise ... | [
19704
] | Train |
43,874 | 24 | Title: Anomaly Detection Using One-Class SVM for Logs of Juniper Router Devices
Abstract: nan | [] | Train |
43,875 | 16 | Title: TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering
Abstract: In this paper, we focus on the task of generalizable neural human rendering which trains conditional Neural Radiance Fields (NeRF) from multi-view videos of different characters. To handle the dynamic human mo... | [
24802
] | Train |
43,876 | 6 | Title: A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors
Abstract: Research into the detection of human activities from wearable sensors is a highly active field, benefiting numerous applications, from ambulatory monitoring of healthcare patients via fitnes... | [] | Train |
43,877 | 4 | Title: Exploring Blockchain Technology through a Modular Lens: A Survey
Abstract: Blockchain has attracted significant attention in recent years due to its potential to revolutionize various industries by providing trustlessness. To comprehensively examine blockchain systems, this article presents both a macro-level ov... | [
10482
] | Validation |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.