node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
38,978 | 16 | Title: Whether and When does Endoscopy Domain Pretraining Make Sense?
Abstract: Automated endoscopy video analysis is a challenging task in medical computer vision, with the primary objective of assisting surgeons during procedures. The difficulty arises from the complexity of surgical scenes and the lack of a sufficie... | [] | Train |
38,979 | 24 | Title: A Token-Wise Beam Search Algorithm for RNN-T
Abstract: Standard Recurrent Neural Network Transducers (RNN-T) decoding algorithms for speech recognition are iterating over the time axis, such that one time step is decoded before moving on to the next time step. Those algorithms result in a large number of calls t... | [] | Validation |
38,980 | 24 | Title: Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input
Abstract: Emergency department (ED) crowding is a significant threat to patient safety and it has been repeatedly associated with increased mortality. Forecasting future service demand has the potential patien... | [] | Validation |
38,981 | 6 | Title: VR Job Interview Using a Gender-Swapped Avatar
Abstract: Virtual Reality (VR) has emerged as a potential solution for mitigating bias in a job interview by hiding the applicants' demographic features. The current study examines the use of a gender-swapped avatar in a virtual job interview that affects the applic... | [] | Train |
38,982 | 16 | Title: Polygon Intersection-over-Union Loss for Viewpoint-Agnostic Monocular 3D Vehicle Detection
Abstract: Monocular 3D object detection is a challenging task because depth information is difficult to obtain from 2D images. A subset of viewpoint-agnostic monocular 3D detection methods also do not explicitly leverage s... | [] | Train |
38,983 | 24 | Title: Improve Long-term Memory Learning Through Rescaling the Error Temporally
Abstract: This paper studies the error metric selection for long-term memory learning in sequence modelling. We examine the bias towards short-term memory in commonly used errors, including mean absolute/squared error. Our findings show tha... | [
18372
] | Train |
38,984 | 16 | Title: Dense Distinct Query for End-to-End Object Detection
Abstract: One-to-one label assignment in object detection has successfully obviated the need for non-maximum suppression (NMS) as postprocessing and makes the pipeline end-to-end. However, it triggers a new dilemma as the widely used sparse queries cannot guar... | [
1900,
9138,
41171,
36850,
23903
] | Test |
38,985 | 24 | Title: Decadal Temperature Prediction via Chaotic Behavior Tracking
Abstract: Decadal temperature prediction provides crucial information for quantifying the expected effects of future climate changes and thus informs strategic planning and decision-making in various domains. However, such long-term predictions are ext... | [] | Test |
38,986 | 28 | Title: D-STAR: Dual Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces for Joint Uplink/Downlink Transmission
Abstract: The joint uplink/downlink (JUD) design of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) is conceived in support of both uplink (... | [] | Test |
38,987 | 24 | Title: Repeated Bilateral Trade Against a Smoothed Adversary
Abstract: We study repeated bilateral trade where an adaptive $\sigma$-smooth adversary generates the valuations of sellers and buyers. We provide a complete characterization of the regret regimes for fixed-price mechanisms under different feedback models in ... | [
33189
] | Test |
38,988 | 24 | Title: Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
Abstract: With the increasing popularity of Internet of Things (IoT) devices, there is a growing need for energy-efficient Machine Learning (ML) models that can run on constrained edge nodes. Decision tree ensembles, such as Random ... | [] | Train |
38,989 | 24 | Title: A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction
Abstract: In this article, we consider the problem of inferring the sign of a link based on known sign data in signed networks. Regarding this link sign prediction problem, signed directed graph neural networks (SDGNNs) provides... | [] | Train |
38,990 | 30 | Title: On the Effectiveness of Offline RL for Dialogue Response Generation
Abstract: A common training technique for language models is teacher forcing (TF). TF attempts to match human language exactly, even though identical meanings can be expressed in different ways. This motivates use of sequence-level objectives fo... | [
43599
] | Test |
38,991 | 30 | Title: SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding
Abstract: We study the ability of transformer-based language models (LMs) to understand social media language. Social media (SM) language is distinct from standard written language, yet existing benchmarks fall short of capturing LM ... | [
26208
] | Validation |
38,992 | 28 | Title: System Information Decomposition
Abstract: In order to characterize complex higher-order interactions among variables in a system, we introduce a new framework for decomposing the information entropy of variables in a system, termed System Information Decomposition (SID). Diverging from Partial Information Decom... | [] | Validation |
38,993 | 16 | Title: Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Abstract: Synthesizing novel 3D models that resemble the input example has long been pursued by researchers and artists in computer graphics. In this paper, we present Sin3DM, a diffusion model that learns the internal patch distribution from a s... | [
5539,
42666,
10070,
14842,
44447
] | Train |
38,994 | 16 | Title: Zero3D: Semantic-Driven Multi-Category 3D Shape Generation
Abstract: Semantic-driven 3D shape generation aims to generate 3D objects conditioned on text. Previous works face problems with single-category generation, low-frequency 3D details, and requiring a large number of paired datasets for training. To tackle... | [
2297,
16697
] | Train |
38,995 | 30 | Title: Evaluating and Improving the Coreference Capabilities of Machine Translation Models
Abstract: Machine translation (MT) requires a wide range of linguistic capabilities, which current end-to-end models are expected to learn implicitly by observing aligned sentences in bilingual corpora.In this work, we ask: {emph... | [] | Train |
38,996 | 4 | Title: CryptOpt: Automatic Optimization of Straightline Code
Abstract: Manual engineering of high-performance implemen-tations typically consumes many resources and requires in-depth knowledge of the hardware. Compilers try to address these problems; however, they are limited by design in what they can do. To address t... | [] | Train |
38,997 | 27 | Title: Minimally actuated tiltrotor for perching and normal force exertion
Abstract: This study presents a new hardware design and control of a minimally actuated 5 control degrees of freedom (CDoF) quadrotor-based tiltrotor. The proposed tiltrotor possesses several characteristics distinct from those found in existing... | [] | Train |
38,998 | 26 | Title: Adaptive Network Embedding with Arbitrary Multiple Information Sources in Attributed Graphs
Abstract: Graph representation learning (a.k.a. network embedding) is a significant topic of network analysis, due to its effectiveness to support various graph inference tasks. In this paper, we study the representation ... | [
39146
] | Train |
38,999 | 5 | Title: Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
Abstract: This paper proposes a novel communication-efficient split learning (SL) framework, named SplitFC, which reduces the communication overhead required for transmitting intermediate feature and gradient vectors during the SL train... | [] | Train |
39,000 | 24 | Title: Classifying World War II Era Ciphers with Machine Learning
Abstract: We determine the accuracy with which machine learning and deep learning techniques can classify selected World War II era ciphers when only ciphertext is available. The specific ciphers considered are Enigma, M-209, Sigaba, Purple, and Typex. W... | [] | Validation |
39,001 | 16 | Title: HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination
Abstract: PURPOSE: Interactive cardiac magnetic resonance imaging is used for fast scan planning and MR guided interventions. However, the requirement for real-time acquisition and near real-time visualization constrains the a... | [] | Train |
39,002 | 30 | Title: Feed-Forward Blocks Control Contextualization in Masked Language Models
Abstract: Understanding the inner workings of neural network models is a crucial step for rationalizing their output and refining their architecture. Transformer-based models are the core of recent natural language processing and have been a... | [
41683
] | Test |
39,003 | 32 | Title: SailFFish: A Lightweight, Parallelised Fast Poisson Solver Library
Abstract: A solver for the Poisson equation for 1D, 2D and 3D regular grids is presented. The solver applies the convolution theorem in order to efficiently solve the Poisson equation in spectral space over a rectangular computational domain. Conv... | [] | Train |
39,004 | 24 | Title: Deep Maxout Network-based Feature Fusion and Political Tangent Search Optimizer enabled Transfer Learning for Thalassemia Detection
Abstract: Thalassemia is a heritable blood disorder which is the outcome of a genetic defect causing lack of production of hemoglobin polypeptide chains. However, there is less unde... | [] | Train |
39,005 | 10 | Title: MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints
Abstract: We present MULTIGAIN 2.0, a major extension to the controller synthesis tool MultiGain, built on top of the probabilistic model checker PRISM. This new version extends MultiGain's multi-objective capabili... | [] | Train |
39,006 | 8 | Title: IPv6 Hitlists at Scale: Be Careful What You Wish For
Abstract: Today's network measurements rely heavily on Internet-wide scanning, employing tools like ZMap that are capable of quickly iterating over the entire IPv4 address space. Unfortunately, IPv6's vast address space poses an existential threat for Internet... | [
6418
] | Train |
39,007 | 30 | Title: WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
Abstract: Webpages have been a rich resource for language and vision-language tasks. Yet only pieces of webpages are kept: image-caption pairs, long text articles, or raw HTML, never all in one place. Webpage tasks have resultingly received little attention an... | [] | Train |
39,008 | 16 | Title: Class-relation Knowledge Distillation for Novel Class Discovery
Abstract: We tackle the problem of novel class discovery, which aims to learn novel classes without supervision based on labeled data from known classes. A key challenge lies in transferring the knowledge in the known-class data to the learning of n... | [
24962
] | Train |
39,009 | 24 | Title: Learning to Reject with a Fixed Predictor: Application to Decontextualization
Abstract: We study the problem of classification with a reject option for a fixed predictor, applicable in natural language processing. We introduce a new problem formulation for this scenario, and an algorithm minimizing a new surroga... | [] | Train |
39,010 | 24 | Title: Training a HyperDimensional Computing Classifier using a Threshold on its Confidence
Abstract: Hyperdimensional computing (HDC) has become popular for light-weight and energy-efficient machine learning, suitable for wearable Internet-of-Things (IoT) devices and near-sensor or on-device processing. HDC is computa... | [
636
] | Train |
39,011 | 34 | Title: A Safety Framework for Flow Decomposition Problems via Integer Linear Programming
Abstract: , | [] | Train |
39,012 | 16 | Title: PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
Abstract: A signed distance function (SDF) parametrized by an MLP is a common ingredient of neural surface reconstruction. We build on the successful recent method NeuS to extend it by three new components. The first component is to borrow the tri-plan... | [
20434,
26876
] | Train |
39,013 | 13 | Title: Non-ideal program-time conservation in charge trap flash for deep learning
Abstract: Training deep neural networks (DNNs) is computationally intensive, but arrays of non-volatile memories such as charge trap flash (CTF) can accelerate DNN operations using in-memory computing. Specifically, the resistive processi... | [] | Train |
39,014 | 30 | Title: A Comparative Study of Pretrained Language Models for Long Clinical Text
Abstract: OBJECTIVE
Clinical knowledge-enriched transformer models (eg, ClinicalBERT) have state-of-the-art results on clinical natural language processing (NLP) tasks. One of the core limitations of these transformer models is the substant... | [
10681,
11357
] | Test |
39,015 | 23 | Title: Automated Smell Detection and Recommendation in Natural Language Requirements
Abstract: Requirement specifications are typically written in natural language (NL) due to its usability across multiple domains and understandability by all stakeholders. However, unstructured NL is prone to quality problems (e.g., am... | [] | Validation |
39,016 | 6 | Title: Writing Tools: Looking Back to Look Ahead
Abstract: Research on writing tools started with the increased availability of computers in the 1970s. After a first phase addressing the needs of programmers and data scientists, research in the late 1980s started to focus on writing-specific needs. Several projects aim... | [
31250
] | Validation |
39,017 | 16 | Title: SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence
Abstract: Unsupervised point cloud shape correspondence aims to obtain dense point-to-point correspondences between point clouds without manually annotated pairs. However, humans and some animals have bilateral ... | [] | Train |
39,018 | 24 | Title: k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Abstract: In today's data-driven world, the sensitivity of information has been a significant concern. With this data and additional information on the person's background, one can easily infer an individual's private data... | [] | Test |
39,019 | 5 | Title: Fault Tolerant Horizontal Computation Offloading
Abstract: The broad development and usage of edge devices has highlighted the importance of creating resilient and computationally advanced edge-to-cloud continuum environments. When working with edge devices these desiderata are usually achieved through replicati... | [] | Train |
39,020 | 30 | Title: Emotion Prediction Oriented Method With Multiple Supervisions for Emotion-Cause Pair Extraction
Abstract: Emotion-cause pair extraction (ECPE) task aims to extract all the pairs of emotions and their causes from an unannotated emotion text. The previous works usually extract the emotion-cause pairs from two pers... | [] | Train |
39,021 | 16 | Title: DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
Abstract: In this paper, targeting to understand the underlying explainable factors behind observations and modeling the conditional generation process on these factors, we propose a new task, disentanglement of diffusion probabilistic model... | [
37778
] | Test |
39,022 | 24 | Title: Representation and decomposition of functions in DAG-DNNs and structural network pruning
Abstract: The conclusions provided by deep neural networks (DNNs) must be carefully scrutinized to determine whether they are universal or architecture dependent. The term DAG-DNN refers to a graphical representation of a DN... | [] | Validation |
39,023 | 13 | Title: CIMulator: A Comprehensive Simulation Platform for Computing-In-Memory Circuit Macros with Low Bit-Width and Real Memory Materials
Abstract: This paper presents a simulation platform, namely CIMulator, for quantifying the efficacy of various synaptic devices in neuromorphic accelerators for different neural netw... | [] | Train |
39,024 | 16 | Title: DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive Affinity
Abstract: The proposed method in this paper proposes an end-to-end unsupervised semantic segmentation architecture DMSA based on four loss functions. The framework uses Atrous Spatial Pyramid Pooling (ASPP) module to enhance ... | [] | Train |
39,025 | 16 | Title: A step towards understanding why classification helps regression
Abstract: A number of computer vision deep regression approaches report improved results when adding a classification loss to the regression loss. Here, we explore why this is useful in practice and when it is beneficial. To do so, we start from pr... | [] | Test |
39,026 | 16 | Title: Exploring Navigation Maps for Learning-Based Motion Prediction
Abstract: The prediction of surrounding agents' motion is a key for safe autonomous driving. In this paper, we explore navigation maps as an alternative to the predominant High Definition (HD) maps for learning-based motion prediction. Navigation map... | [
18283,
23599
] | Train |
39,027 | 10 | Title: Update Monte Carlo tree search (UMCTS) algorithm for heuristic global search of sizing optimization problems for truss structures
Abstract: Sizing optimization of truss structures is a complex computational problem, and the reinforcement learning (RL) is suitable for dealing with multimodal problems without grad... | [] | Train |
39,028 | 16 | Title: SSGD: A smartphone screen glass dataset for defect detection
Abstract: Interactive devices with touch screen have become commonly used in various aspects of daily life, which raises the demand for high production quality of touch screen glass. While it is desirable to develop effective defect detection technolog... | [] | Train |
39,029 | 22 | Title: Modular Denotational Semantics for Effects with Guarded Interaction Trees
Abstract: We present guarded interaction trees -- a structure and a fully formalized framework for representing higher-order computations with higher-order effects in Coq, inspired by domain theory and the recently proposed interaction tre... | [
32910
] | Train |
39,030 | 6 | Title: DesignTracking: Track and Replay BIM-based Design Process
Abstract: Among different phases of the life cycle of a building or facility, design is of the utmost importance to ensure safety, efficiency and sustainability of the building or facility. How to control and improve design quality and efficiency has been... | [] | Test |
39,031 | 16 | Title: StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces
Abstract: Recent advances in face manipulation using StyleGAN have produced impressive results. However, StyleGAN is inherently limited to cropped aligned faces at a fixed image resolution it is pre-trained on. In this paper, we propose a simpl... | [
41560
] | Train |
39,032 | 34 | Title: Block-Wise Index Modulation and Receiver Design for High-Mobility OTFS Communications
Abstract: As a promising technique for high-mobility wireless communications, orthogonal time frequency space (OTFS) has been proved to enjoy excellent advantages with respect to traditional orthogonal frequency division multip... | [] | Validation |
39,033 | 5 | Title: Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java
Abstract: Many scientific high performance codes that simulate e.g. black holes, coastal waves, climate and weather, etc. rely on block-structured meshes and use finite differencing methods to... | [
18424,
44180
] | Test |
39,034 | 7 | Title: Towards Real-time Training of Physics-informed Neural Networks: Applications in Ultrafast Ultrasound Blood Flow Imaging
Abstract: Physics-informed Neural Network (PINN) is one of the most preeminent solvers of Navier-Stokes equations, which are widely used as the governing equation of blood flow. However, curren... | [] | Test |
39,035 | 24 | Title: ACDNet: Attention-guided Collaborative Decision Network for Effective Medication Recommendation
Abstract: Medication recommendation using Electronic Health Records (EHR) is challenging due to complex medical data. Current approaches extract longitudinal information from patient EHR to personalize recommendations... | [] | Train |
39,036 | 16 | Title: Unsupervised Domain Adaptation for Anatomical Landmark Detection
Abstract: Recently, anatomical landmark detection has achieved great progresses on single-domain data, which usually assumes training and test sets are from the same domain. However, such an assumption is not always true in practice, which can caus... | [
30598
] | Validation |
39,037 | 24 | Title: Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Abstract: It is desirable for statistical models to detect signals of interest independently of their position. If the data is generated by some smooth process, this additional structure should be taken... | [] | Validation |
39,038 | 27 | Title: Teleoperation of Humanoid Robots: A Survey
Abstract: Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots. The operational versatility of humanoid robots makes them the ideal platform for a wide range of ... | [
18753,
27430,
25991,
30986,
3115,
23981,
24914,
44158
] | Validation |
39,039 | 24 | Title: Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
Abstract: The rise of graph representation learning as the primary solution for many different network science tasks led to a surge of interest in the fairness of this family of methods. Link prediction, in particular, has a substan... | [] | Train |
39,040 | 30 | Title: Implicit Temporal Reasoning for Evidence-Based Fact-Checking
Abstract: Leveraging contextual knowledge has become standard practice in automated claim verification, yet the impact of temporal reasoning has been largely overlooked. Our study demonstrates that time positively influences the claim verification proc... | [] | Train |
39,041 | 23 | Title: On the Evaluation of Neural Code Translation: Taxonomy and Benchmark
Abstract: In recent years, neural code translation has gained increasing attention. While most of the research focuses on improving model architectures and training processes, we notice that the evaluation process and benchmark for code transla... | [
10976,
32450,
15952,
16214
] | Test |
39,042 | 34 | Title: Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model
Abstract: Streaming algorithms are typically analyzed in the oblivious setting, where we assume that the input stream is fixed in advance. Recently, there is a growing interest in designing adversarially robust streami... | [] | Train |
39,043 | 16 | Title: A Unified HDR Imaging Method with Pixel and Patch Level
Abstract: Mapping Low Dynamic Range (LDR) images with different exposures to High Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to ghosting caused by object motion or camera jitting. With the success of Deep Neural Networks (D... | [] | Validation |
39,044 | 27 | Title: DeRi-IGP: Manipulating Rigid Objects Using Deformable Objects via Iterative Grasp-Pull
Abstract: Heterogeneous systems manipulation, i.e., manipulating rigid objects via deformable (soft) objects, is an emerging field that remains in its early stages of research. Existing works in this field suffer from limited ... | [
12849,
28717
] | Train |
39,045 | 27 | Title: Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding
Abstract: In Human-Robot Interaction (HRI) systems, a challenging task is sharing the representation of the operational environment, fusing symbolic knowledge and perceptions, between users and robots. Wit... | [] | Train |
39,046 | 17 | Title: An Improved NeuMIP with Better Accuracy
Abstract: Neural reflectance models are capable of accurately reproducing the spatially-varying appearance of many real-world materials at different scales. However, existing methods have difficulties handling highly glossy materials. To address this problem, we introduce ... | [] | Train |
39,047 | 16 | Title: Language Prompt for Autonomous Driving
Abstract: A new trend in the computer vision community is to capture objects of interest following flexible human command represented by a natural language prompt. However, the progress of using language prompts in driving scenarios is stuck in a bottleneck due to the scarc... | [
34982,
37832,
5141,
23192,
3578
] | Validation |
39,048 | 3 | Title: IoT trust and reputation: a survey and taxonomy
Abstract: nan | [] | Validation |
39,049 | 10 | Title: Causal Laws and Multi-Valued Fluents
Abstract: This paper continues the line of work on representing properties of actions in nonmonotonic formalisms that stresses the distinction between being"true"and being"caused", as in the system of causal logic introduced by McCain and Turner and in the action language C p... | [] | Train |
39,050 | 13 | Title: Mathematical Models and Reinforcement Learning based Evolutionary Algorithm Framework for Satellite Scheduling Problem
Abstract: For complex combinatorial optimization problems, models and algorithms are at the heart of the solution. The complexity of many types of satellite mission planning problems is NP-hard ... | [] | Train |
39,051 | 4 | Title: Motion ID: Human Authentication Approach
Abstract: We introduce a novel approach to user authentication called Motion ID. The method employs motion sensing provided by inertial measurement units (IMUs), using it to verify the persons identity via short time series of IMU data captured by the mobile device. The p... | [] | Train |
39,052 | 10 | Title: SAT-Based PAC Learning of Description Logic Concepts
Abstract: We propose bounded fitting as a scheme for learning
description logic concepts in the presence of ontologies. A main
advantage is that the resulting learning algorithms come with
theoretical guarantees regarding their generalization to unseen
exa... | [] | Train |
39,053 | 30 | Title: Developing an Informal-Formal Persian Corpus
Abstract: Informal language is a style of spoken or written language frequently used in casual conversations, social media, weblogs, emails and text messages. In informal writing, the language faces some lexical and/or syntactic changes varying among different languag... | [] | Train |
39,054 | 31 | Title: Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation
Abstract: As an indispensable personalized service in Location-based Social Networks (LBSNs), the next Point-of-Interest (POI) recommendation aims to help people discover attractive and interesting places. Currently, most POI re... | [
4473,
33612
] | Train |
39,055 | 28 | Title: On the Limits of Single Anchor Localization: Near-Field vs Far-Field
Abstract: It is well known that a single anchor can be used to determine the position and orientation of an agent communicating with it. However, it is not clear what information about the anchor or the agent is necessary to perform this locali... | [] | Train |
39,056 | 28 | Title: Capacity Region of Asynchronous Multiple Access Channels With FTN
Abstract: This letter derives the capacity region of asynchronous multiple access channel (MAC) with faster-than-Nyquist (FTN) signaling. We first express the capacity region in the frequency domain. Next, we prove that the capacity definition for... | [
14015
] | Train |
39,057 | 24 | Title: Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Abstract: The long-term goal of machine learning is to learn general visual representations from a small amount of data without supervision, mimicking three advantages of human cognition: i) no need for labels, ii) robustness to data scarcity, a... | [
28195
] | Train |
39,058 | 16 | Title: Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks
Abstract: DeepLab is a widely used deep neural network for semantic segmentation, whose success is attributed to its parallel architecture called atrous spatial pyramid pooling (ASPP). ASPP uses multiple atrous convolutions with different... | [] | Train |
39,059 | 38 | Title: Bibliometric Analysis of Publisher and Journal Instructions to Authors on Generative-AI in Academic and Scientific Publishing
Abstract: We aim to determine the extent and content of guidance for authors regarding the use of generative-AI (GAI), Generative Pretrained models (GPTs) and Large Language Models (LLMs)... | [] | Train |
39,060 | 36 | Title: Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis
Abstract: nan | [
22044
] | Train |
39,061 | 30 | Title: CMMLU: Measuring massive multitask language understanding in Chinese
Abstract: As the capabilities of large language models (LLMs) continue to advance, evaluating their performance becomes increasingly crucial and challenging. This paper aims to bridge this gap by introducing CMMLU, a comprehensive Chinese bench... | [
26974,
514,
10598,
1575,
109,
7695,
27902,
41619,
13844,
36149,
39451,
31832,
3035,
19420,
37791,
11614,
6719
] | Train |
39,062 | 24 | Title: Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding
Abstract: Recent studies have shown that pseudo labels can contribute to unsupervised domain adaptation (UDA) for speaker verification. Inspired by the self-training strategies that use an existing classifier to label the unlabeled data for... | [] | Train |
39,063 | 16 | Title: The Role of Subgroup Separability in Group-Fair Medical Image Classification
Abstract: We investigate performance disparities in deep classifiers. We find that the ability of classifiers to separate individuals into subgroups varies substantially across medical imaging modalities and protected characteristics; c... | [
29996,
38758
] | Train |
39,064 | 27 | Title: Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data
Abstract: The growing interest in language-conditioned robot manipulation aims to develop robots capable of understanding and executing complex tasks, with the objective of enabling robots to interpret language commands and ma... | [] | Train |
39,065 | 34 | Title: Folklore Sampling is Optimal for Exact Hopsets: Confirming the √n Barrier
Abstract: For a graph $G$, a $D$-diameter-reducing exact hopset is a small set of additional edges $H$ that, when added to $G$, maintains its graph metric but guarantees that all node pairs have a shortest path in $G \cup H$ using at most ... | [] | Validation |
39,066 | 13 | Title: How Well Does the Metropolis Algorithm Cope With Local Optima?
Abstract: The Metropolis algorithm (MA) is a classic stochastic local search heuristic. It avoids getting stuck in local optima by occasionally accepting inferior solutions. To better and in a rigorous manner understand this ability, we conduct a mat... | [
25713,
28340,
8831
] | Train |
39,067 | 6 | Title: Emerging AI Technologies Inspiring the Next Generation of E-Textiles
Abstract: The smart textile and wearables sector is looking towards advancing technologies to meet both industry, consumer and new emerging innovative textile application demands, within a fast paced textile industry. In parallel, inspiration b... | [] | Train |
39,068 | 2 | Title: Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks
Abstract: Abstraction is a key verification technique to improve scalability. However, its use for neural networks is so far extremely limited. Previous approaches for abstracting classification networks replace several neurons with one o... | [
15028
] | Validation |
39,069 | 18 | Title: Nonlinear response of Silicon Photonics microresonators for reservoir computing neural network
Abstract: Nowadays, Information Photonics is extensively studied and sees applications in many fields. The interest in this breakthrough technology is mainly stimulated by the possibility of achieving real-time data pr... | [] | Validation |
39,070 | 16 | Title: Digital Modeling on Large Kernel Metamaterial Neural Network
Abstract: Deep neural networks (DNNs) utilized recently are physically deployed with computational units (e.g., CPUs and GPUs). Such a design might lead to a heavy computational burden, significant latency, and intensive power consumption, which are cr... | [] | Test |
39,071 | 16 | Title: Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Abstract: We introduce a method to generate temporally coherent human animation from a single image, a video, or a random noise. This problem has been formulated as modeling of an auto-regressive generation, i.e., to regress past fr... | [] | Train |
39,072 | 16 | Title: Enhanced Face Authentication With Separate Loss Functions
Abstract: The overall objective of the main project is to propose and develop a system of facial authentication in unlocking phones or applications in phones using facial recognition. The system will include four separate architectures: face detection, fa... | [] | Train |
39,073 | 24 | Title: Memory-Based Dual Gaussian Processes for Sequential Learning
Abstract: Sequential learning with Gaussian processes (GPs) is challenging when access to past data is limited, for example, in continual and active learning. In such cases, errors can accumulate over time due to inaccuracies in the posterior, hyperpar... | [] | Train |
39,074 | 30 | Title: Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
Abstract: Incremental Named Entity Recognition (INER) involves the sequential learning of new entity types without accessing the training data of previously learned types. However, INER faces the challenge of catast... | [
22080
] | Validation |
39,075 | 30 | Title: Towards preserving word order importance through Forced Invalidation
Abstract: Large pre-trained language models such as BERT have been widely used as a framework for natural language understanding (NLU) tasks. However, recent findings have revealed that pre-trained language models are insensitive to word order.... | [] | Validation |
39,076 | 4 | Title: Mitigating Backdoor Attack Via Prerequisite Transformation
Abstract: In recent years, with the successful application of DNN in fields such as NLP and CV, its security has also received widespread attention. (Author) proposed the method of backdoor attack in Badnet. Switch implanted backdoor into the model by po... | [] | Train |
39,077 | 7 | Title: EGTSyn: Edge-based Graph Transformer for Anti-Cancer Drug Combination Synergy Prediction
Abstract: Combination therapy with multiple drugs is a potent therapy strategy for complex diseases such as cancer, due to its therapeutic efficacy and potential for reducing side effects. However, the extensive search space... | [] | Train |
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