node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
20,178 | 18 | Title: Learning in ensembles of proteinoid microspheres
Abstract: Proteinoids are thermal proteins which form microspheres in water in presence of salt. Ensembles of proteinoid microspheres exhibit passive non-linear electrical properties and active neuron-like spiking of electrical potential. We propose that various n... | [
29573
] | Test |
20,179 | 23 | Title: Validating Multimedia Content Moderation Software via Semantic Fusion
Abstract: The exponential growth of social media platforms, such as Facebook, Instagram, Youtube, and TikTok, has revolutionized communication and content publication in human society. Users on these platforms can publish multimedia content th... | [
3880,
5643,
30440
] | Train |
20,180 | 27 | Title: Semi-Elastic LiDAR-Inertial Odometry
Abstract: Existing LiDAR-inertial state estimation methods treats the state at the beginning of current sweep as equal to the state at the end of previous sweep. However, if the previous state is inaccurate, the current state cannot satisfy the constraints from LiDAR and IMU ... | [
29626
] | Validation |
20,181 | 30 | Title: Are UD Treebanks Getting More Consistent? A Report Card for English UD
Abstract: Recent efforts to consolidate guidelines and treebanks in the Universal Dependencies project raise the expectation that joint training and dataset comparison is increasingly possible for high-resource languages such as English, whic... | [
9663
] | Test |
20,182 | 24 | Title: Designing equitable algorithms
Abstract: nan | [
26767
] | Train |
20,183 | 16 | Title: Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Abstract: Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360{\deg} perception and temporal reasoning. To address this gap, we introduce Zenseact Open Dat... | [
33761,
18283,
30113
] | Test |
20,184 | 28 | Title: Spectral Efficiency and Scalability Analysis for Multi-Level Cooperative Cell-Free Massive MIMO Systems
Abstract: This paper proposes a multi-level cooperative architecture to balance the spectral efficiency and scalability of cell-free massive multiple-input multiple-output (MIMO) systems. In the proposed archi... | [] | Train |
20,185 | 30 | Title: Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations
Abstract: The advent of AI-empowered chatbots capable of constructing human-like sentences and articulating cohesive essays has captivated global interest. This paper provides a historical perspective on chatbots, focusing ... | [
30243,
16166,
12487,
6061,
44173,
4271,
27185,
19315,
41491,
44246,
12087,
43930,
40055,
35580,
9886,
21375
] | Train |
20,186 | 10 | Title: Automatic summarisation of Instagram social network posts Combining semantic and statistical approaches
Abstract: The proliferation of data and text documents such as articles, web pages, books, social network posts, etc. on the Internet has created a fundamental challenge in various fields of text processing un... | [
24978
] | Test |
20,187 | 10 | Title: Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach
Abstract: Assessing the pre-operative risk of lymph node metastases in endometrial cancer patients is a complex and challenging task. In principle, machine learning and deep learning models are flexible and expressive enou... | [
41262
] | Validation |
20,188 | 16 | Title: Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos
Abstract: nan | [] | Validation |
20,189 | 30 | Title: Lexical Complexity Prediction: An Overview
Abstract: The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modeling has been applied to identify complex words in texts and substitute them for simpler alternati... | [] | Train |
20,190 | 24 | Title: FiMReSt: Finite Mixture of Multivariate Regulated Skew-t Kernels - A Flexible Probabilistic Model for Multi-Clustered Data with Asymmetrically-Scattered Non-Gaussian Kernels
Abstract: Recently skew-t mixture models have been introduced as a flexible probabilistic modeling technique taking into account both skewn... | [] | Train |
20,191 | 6 | Title: Student Teacher Interaction While Learning Computer Science: Early Results from an Experiment on Undergraduates
Abstract: The scope of this paper was to find out how the students in Computer Science perceive different teaching styles and how the teaching style impacts the learning desire and interest in the cour... | [
22414
] | Validation |
20,192 | 16 | Title: Challenges of Zero-Shot Recognition with Vision-Language Models: Granularity and Correctness
Abstract: This paper investigates the challenges of applying vision-language models (VLMs) to zero-shot visual recognition tasks in an open-world setting, with a focus on contrastive vision-language models such as CLIP. ... | [] | Test |
20,193 | 6 | Title: Sasha: creative goal-oriented reasoning in smart homes with large language models
Abstract: Every smart home user interaction has an explicit or implicit goal. Existing home assistants easily achieve explicit goals, e.g.,"turn on the light". In more natural communication, however, humans tend to describe implici... | [
26562,
13700,
28196,
16556,
41554,
21880
] | Test |
20,194 | 30 | Title: MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning
Abstract: With emerging topics (e.g., COVID-19) on social media as a source for the spreading misinformation, overcoming the distributional shifts between the original training domain (i.e., source domain) and such target domains rema... | [
13700,
7397,
30430
] | Train |
20,195 | 16 | Title: NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Abstract: Semi-supervised learning (SSL) has been widely explored in recent years, and it is an effective way of leveraging unlabeled data to reduce the reliance on labeled data. In this work, we adjust neural processes (NPs) to the semi-su... | [] | Validation |
20,196 | 28 | Title: On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version)
Abstract: Multisensor track-to-track fusion for target tracking involves two primary operations: track association and estimation fusion. For estimation fusion, lossless measurement transformation of sensor... | [] | Validation |
20,197 | 34 | Title: Simple and Faster Algorithms for Knapsack
Abstract: In this paper, we obtain a number of new simple pseudo-polynomial time algorithms on the well-known knapsack problem, focusing on the running time dependency on the number of items $n$, the maximum item weight $w_\mathrm{max}$, and the maximum item profit $p_\m... | [
29380,
10441,
11568,
40024,
23005
] | Validation |
20,198 | 27 | Title: Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-Robot Systems
Abstract: Obstacle avoidance for multi-robot navigation with polytopic shapes is challenging. Existing works simplify the system dynamics or consider it as a convex or non-convex optimization problem with positive distance co... | [] | Train |
20,199 | 31 | Title: Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study
Abstract: Most approaches to cross-modal retrieval (CMR) focus either on object-centric datasets, meaning that each document depicts or describes a single object, or on scene-centric datasets, meaning that each image depic... | [
32456
] | Train |
20,200 | 16 | Title: Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Abstract: One of the most impactful findings in computational neuroscience over the past decade is that the object recognition accuracy of deep neural networks (DNNs) correlates with their ability to predict... | [
33220,
37070
] | Train |
20,201 | 24 | Title: IDEA: Invariant Causal Defense for Graph Adversarial Robustness
Abstract: Graph neural networks (GNNs) have achieved remarkable success in various tasks, however, their vulnerability to adversarial attacks raises concerns for the real-world applications. Existing defense methods can resist some attacks, but suff... | [
13657,
1921,
42141
] | Train |
20,202 | 4 | Title: Data-Free Model Extraction Attacks in the Context of Object Detection
Abstract: A significant number of machine learning models are vulnerable to model extraction attacks, which focus on stealing the models by using specially curated queries against the target model. This task is well accomplished by using part ... | [] | Test |
20,203 | 1 | Title: Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
Abstract: The last decade has witnessed the proliferation of micro-videos on various user-generated content platforms. According to our statistics, around 85.7% of micro-videos lack annotation. In this paper, we focus on annotating micro-... | [
19818
] | Test |
20,204 | 36 | Title: Ambiguous Contracts
Abstract: In this paper we introduce a model of ambiguous contracts, capturing many real-life scenarios where agents engage in contractual relations that leave some degree of uncertainty. In this paper we introduce a model of ambiguous contracts, capturing many real-life scenarios where agent... | [
14019
] | Validation |
20,205 | 16 | Title: Real-World Community-in-the-Loop Smart Video Surveillance - A Case Study at a Community College
Abstract: Smart Video surveillance systems have become important recently for ensuring public safety and security, especially in smart cities. However, applying real-time artificial intelligence technologies combined ... | [
28292
] | Train |
20,206 | 2 | Title: Meaning and identity of proofs in a bilateralist setting: A two-sorted typed lambda-calculus for proofs and refutations
Abstract: In this paper I will develop a lambda-term calculus, lambda-2Int, for a bi-intuitionistic logic and discuss its implications for the notions of sense and denotation of derivations in ... | [] | Train |
20,207 | 10 | Title: An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation
Abstract: Entity alignment (EA) aims to find the equivalent entity pairs between different knowledge graphs (KGs), which is crucial to promote knowledge fusion. With the wide use of temporal knowledge gra... | [] | Train |
20,208 | 16 | Title: DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment
Abstract: Cross-modal garment synthesis and manipulation will significantly benefit the way fashion designers generate garments and modify their designs via flexible linguistic interfaces.Current approache... | [
43867
] | Train |
20,209 | 16 | Title: 3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds with Marker-Based Motion Capture
Abstract: Recent advances in machine learning and computer vision are revolutionizing the field of animal behavior by enabling researchers to track the poses and locations of ... | [
31812
] | Validation |
20,210 | 27 | Title: A light- and heat-seeking vine-inspired robot with material-level responsiveness
Abstract: The fields of soft and bio-inspired robotics promise to imbue synthetic systems with capabilities found in the natural world. However, many of these biological capabilities are yet to be realized. For example, vines in nat... | [] | Validation |
20,211 | 4 | Title: Contingency Analyses with Warm Starter using Probabilistic Graphical Model
Abstract: Cyberthreats are an increasingly common risk to the power grid and can thwart secure grid operation. We propose to extend contingency analysis (CA) that is currently used to secure the grid against natural threats to protect aga... | [] | Validation |
20,212 | 16 | Title: Generating Animatable 3D Cartoon Faces from Single Portraits
Abstract: With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled. We... | [] | Validation |
20,213 | 24 | Title: Agnostic Multi-Group Active Learning
Abstract: Inspired by the problem of improving classification accuracy on rare or hard subsets of a population, there has been recent interest in models of learning where the goal is to generalize to a collection of distributions, each representing a ``group''. We consider a ... | [] | Train |
20,214 | 30 | Title: KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment Analysis
Abstract: This paper describes the system entered by the author to the SemEval-2023 Task 12: Sentiment analysis for African languages. The system focuses on the Kinyarwanda language and uses a language-specific model. Kinyarwanda morphology is m... | [
24954,
20226
] | Test |
20,215 | 16 | Title: Deep Image Harmonization in Dual Color Spaces
Abstract: Image harmonization is an essential step in image composition that adjusts the appearance of composite foreground to address the inconsistency between foreground and background. Existing methods primarily operate in correlated $RGB$ color space, leading to ... | [] | Validation |
20,216 | 1 | Title: Grace++: Loss-Resilient Real-Time Video Communication under High Network Latency
Abstract: In real-time videos, resending any packets, especially in networks with high latency, can lead to stuttering, poor video quality, and user frustration. Despite extensive research, current real-time video systems still use ... | [] | Train |
20,217 | 4 | Title: QR-SACP: Quantitative Risk-based Situational Awareness Calculation and Projection through Threat Information Sharing
Abstract: When a threat is observed, one of the most important challenges is to choose the most appropriate and adequate timely decisions in response to the current and near future situation in or... | [] | Train |
20,218 | 30 | Title: Exploring the Constructicon: Linguistic Analysis of a Computational CxG
Abstract: Recent work has formulated the task for computational construction grammar as producing a constructicon given a corpus of usage. Previous work has evaluated these unsupervised grammars using both internal metrics (for example, Mini... | [
32454
] | Test |
20,219 | 24 | Title: Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data
Abstract: We study the interpolation, or memorization, power of deep ReLU neural networks. Specifically, we consider the question of how efficiently, in terms of the number of parameters, deep ReLU networks can interpolat... | [
26709
] | Train |
20,220 | 30 | Title: Analysing Discrete Self Supervised Speech Representation for Spoken Language Modeling
Abstract: This work profoundly analyzes discrete self-supervised speech representations (units) through the eyes of Generative Spoken Language Modeling (GSLM). Following the findings of such an analysis, we propose practical im... | [
37768,
9153,
38785,
21166
] | Validation |
20,221 | 4 | Title: Performance Analysis and Evaluation of Post Quantum Secure Blockchained Federated Learning
Abstract: Post-quantum security is critical in the quantum era. Quantum computers, along with quantum algorithms, make the standard cryptography based on RSA or ECDSA over FL or Blockchain vulnerable. The implementation of... | [] | Train |
20,222 | 24 | Title: Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
Abstract: We propose to study and promote the robustness of a model as per its performance through the interpolation of training data distributions. Specifically, (1) we augment the data by finding the worst-case Wasserstein barycenter... | [
31753,
21798
] | Test |
20,223 | 24 | Title: Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Abstract: As the size of large language models (LLMs) continues to grow, model compression without sacrificing accuracy has become a crucial challenge for deployment. While some quantization methods, such as GPTQ, have made progress in... | [
6979,
13700,
45291,
3921,
1234,
12851,
5649,
13525,
16662,
21849,
40953
] | Train |
20,224 | 23 | Title: Do the Test Smells Assertion Roulette and Eager Test Impact Students’ Troubleshooting and Debugging Capabilities?
Abstract: To ensure the quality of a software system, developers perform an activity known as unit testing, where they write code (known as test cases) that verifies the individual software units tha... | [] | Train |
20,225 | 16 | Title: 3D Point Cloud for Objects and Scenes Classification, Recognition, Segmentation, and Reconstruction: A Review
Abstract: Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of visual... | [] | Train |
20,226 | 30 | Title: AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Abstract: Africa is home to over 2000 languages from over six language families and has the highest linguistic diversity among all continents. This includes 75 languages with at least one million speakers each. Yet, there is little NLP resea... | [
25665,
7906,
19714,
41795,
8037,
41767,
26921,
41743,
25521,
18324,
20214,
1847,
38904,
24954,
23615
] | Train |
20,227 | 16 | Title: Collaborative Chinese Text Recognition with Personalized Federated Learning
Abstract: In Chinese text recognition, to compensate for the insufficient local data and improve the performance of local few-shot character recognition, it is often necessary for one organization to collect a large amount of data from s... | [
3756
] | Train |
20,228 | 30 | Title: ChatGPT: Jack of all trades, master of none
Abstract: nan | [
40192,
6535,
20487,
11273,
43403,
37516,
44173,
39823,
3861,
43930,
3483,
4892,
24350,
21794,
33699,
13224,
22824,
15530,
9387,
6061,
20141,
43566,
36528,
30264,
42938,
28607,
23359,
15301,
38856,
23369,
6989,
6094,
16464,
31956,
5461,
44758,
3... | Train |
20,229 | 16 | Title: ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Abstract: Self-supervised learning (SSL) techniques have recently been integrated into the few-shot learning (FSL) framework and have shown promising results in improving the few-shot image classification performance. However, ... | [] | Test |
20,230 | 24 | Title: Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Abstract: Multivariate time series anomaly detection (MTAD) plays a vital role in a wide variety of real-world application domains. Over the past few years, MTAD has attracted rapidly increasing attention from both academia and industry. M... | [] | Validation |
20,231 | 24 | Title: Transfer Learning Enhanced Full Waveform Inversion*
Abstract: We propose a way to favorably employ neural networks in the field of non-destructive testing using Full Waveform Inversion (FWI). The presented methodology discretizes the unknown material distribution in the domain with a neural network within an adj... | [] | Train |
20,232 | 16 | Title: Partial Network Cloning
Abstract: In this paper, we study a novel task that enables partial knowledge transfer from pre-trained models, which we term as Partial Network Cloning (PNC). Unlike prior methods that update all or at least part of the parameters in the target network throughout the knowledge transfer p... | [
45921,
37175
] | Train |
20,233 | 16 | Title: Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser
Abstract: Audio-visual learning has been a major pillar of multi-modal machine learning, where the community mostly focused on its modality-aligned setting, i.e., the audio and visual modality are both assumed to signal the prediction... | [
14227
] | Validation |
20,234 | 5 | Title: Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments
Abstract: Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computing paradigm behind IoT applications. How... | [
34163
] | Train |
20,235 | 24 | Title: Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction
Abstract: The choice of the most effective treatment may eventually be influenced by breast cancer survival prediction. To predict the chances of a patient surviving, a variety of techniques were employed, such as statist... | [
42238
] | Train |
20,236 | 36 | Title: Graphical House Allocation
Abstract: The classical house allocation problem involves assigning $n$ houses (or items) to $n$ agents according to their preferences. A key criterion in such problems is satisfying some fairness constraints such as envy-freeness. We consider a generalization of this problem wherein t... | [
36955
] | Train |
20,237 | 23 | Title: Analyzing the Evolution of Inter-package Dependencies in Operating Systems: A Case Study of Ubuntu
Abstract: An Operating System (OS) combines multiple interdependent software packages, which usually have their own independently developed architectures. When a multitude of independent packages are placed togethe... | [] | Train |
20,238 | 24 | Title: MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
Abstract: Long-term time series forecasting plays an important role in various real-world scenarios. Recent deep learning methods for long-term series forecasting tend to capture the intricate patterns of time series by decompo... | [] | Test |
20,239 | 16 | Title: ScarceNet: Animal Pose Estimation with Scarce Annotations
Abstract: Animal pose estimation is an important but underexplored task due to the lack of labeled data. In this paper, we tackle the task of animal pose estimation with scarce annotations, where only a small set of labeled data and unlabeled images are a... | [
2637
] | Train |
20,240 | 27 | Title: Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation
Abstract: In this paper, we present a novel method for achieving dexterous manipulation of complex objects, while simultaneously securing the object without the use of passive support surfaces. We posit that a key difficulty for trai... | [
22729,
5382
] | Train |
20,241 | 16 | Title: Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation
Abstract: Heterogeneous Face Recognition (HFR) aims to match face images across different domains, such as thermal and visible spectra, expanding the applicability of Face Recognition (FR) systems to challenging scenar... | [] | Train |
20,242 | 2 | Title: On Kripke, Vietoris and Hausdorff Polynomial Functors
Abstract: The Vietoris space of compact subsets of a given Hausdorff space yields an endofunctor $\mathscr V$ on the category of Hausdorff spaces. Vietoris polynomial endofunctors on that category are built from $\mathscr V$, the identity and constant functor... | [] | Train |
20,243 | 30 | Title: Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method
Abstract: The large scale of pre-trained language models poses a challenge for their deployment on various devices, with a growing emphasis on methods to compress these models, particularly knowledge distillation. H... | [] | Validation |
20,244 | 24 | Title: Piecewise-Stationary Multi-Objective Multi-Armed Bandit With Application to Joint Communications and Sensing
Abstract: We study a multi-objective multi-armed bandit problem in a dynamic environment. The problem portrays a decision-maker that sequentially selects an arm from a given set. If selected, each action ... | [
24961
] | Train |
20,245 | 10 | Title: Two-Stage Learning For the Flexible Job Shop Scheduling Problem
Abstract: The Flexible Job-shop Scheduling Problem (FJSP) is an important combinatorial optimization problem that arises in manufacturing and service settings. FJSP is composed of two subproblems, an assignment problem that assigns tasks to machines... | [] | Train |
20,246 | 24 | Title: GPINN: Physics-informed Neural Network with Graph Embedding
Abstract: This work proposes a Physics-informed Neural Network framework with Graph Embedding (GPINN) to perform PINN in graph, i.e. topological space instead of traditional Euclidean space, for improved problem-solving efficiency. The method integrates... | [
2124
] | Test |
20,247 | 15 | Title: FuseFPS: Accelerating Farthest Point Sampling with Fusing KD-tree Construction for Point Clouds
Abstract: Point cloud analytics has become a critical workload for embedded and mobile platforms across various applications. Farthest point sampling (FPS) is a fundamental and widely used kernel in point cloud proces... | [] | Train |
20,248 | 28 | Title: Comparative Analysis of Terahertz Propagation Under Dust Storm Conditions on Mars and Earth
Abstract: Reliable Terahertz (THz) links are necessary for outdoor point-to-point communication with the exponential growth of wireless data traffic. This study presents a modified Monte Carlo simulation procedure for est... | [] | Train |
20,249 | 24 | Title: Predicting Unplanned Readmissions in the Intensive Care Unit: A Multimodality Evaluation
Abstract: A hospital readmission is when a patient who was discharged from the hospital is admitted again for the same or related care within a certain period. Hospital readmissions are a significant problem in the healthcar... | [] | Train |
20,250 | 16 | Title: DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration
Abstract: Existing All-In-One image restoration (IR) methods usually lack flexible modeling on various types of degradation, thus impeding the restoration performance. To achieve All-In-One IR with higher task dexterity, this work prop... | [
11854
] | Train |
20,251 | 25 | Title: Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features
Abstract: Speaker diarization is the task of answering Who spoke and when? in an audio stream. Pipeline systems rely on speech segmentation to extract speakers' segments and achieve robust speaker diarization. This pa... | [] | Train |
20,252 | 16 | Title: Learning Empirical Bregman Divergence for Uncertain Distance Representation
Abstract: Deep metric learning techniques have been used for visual representation in various supervised and unsupervised learning tasks through learning embeddings of samples with deep networks. However, classic approaches, which employ... | [
44984,
21079
] | Train |
20,253 | 16 | Title: Demographic Disparities in 1-to-Many Facial Identification
Abstract: Most studies to date that have examined demographic variations in face recognition accuracy have analyzed 1-to-1 matching accuracy, using images that could be described as"government ID quality". This paper analyzes the accuracy of 1-to-many fa... | [] | Train |
20,254 | 20 | Title: On the Width of the Regular n-Simplex
Abstract: Consider the regular n -simplex ∆ n – it is formed by the convex-hull of n +1 points in Euclidean space, with each pair of points being in distance exactly one from each other. We prove an exact bound on the width of ∆ n which is ≈ (cid:112) 2 /n . Specifically, wid... | [] | Train |
20,255 | 16 | Title: Instance Segmentation in the Dark
Abstract: nan | [
27034,
10982
] | Validation |
20,256 | 4 | Title: Hot Pixels: Frequency, Power, and Temperature Attacks on GPUs and ARM SoCs
Abstract: The drive to create thinner, lighter, and more energy efficient devices has resulted in modern SoCs being forced to balance a delicate tradeoff between power consumption, heat dissipation, and execution speed (i.e., frequency). ... | [
41240
] | Train |
20,257 | 16 | Title: Knowledge Distillation in Vision Transformers: A Critical Review
Abstract: In Natural Language Processing (NLP), Transformers have already revolutionized the field by utilizing an attention-based encoder-decoder model. Recently, some pioneering works have employed Transformer-like architectures in Computer Visio... | [
38924,
13015
] | Train |
20,258 | 31 | Title: Extracting Blockchain Concepts from Text
Abstract: Blockchains provide a mechanism through which mutually distrustful remote parties can reach consensus on the state of a ledger of information. With the great acceleration with which this space is developed, the demand for those seeking to learn about blockchain ... | [] | Test |
20,259 | 2 | Title: Right-Adjoints for Datalog Programs, and Homomorphism Dualities over Restricted Classes
Abstract: A Datalog program can be viewed as a syntactic specification of a functor from database instances over some schema to database instances over another schema. The same holds more generally for $\exists$Datalog. We es... | [
19785
] | Validation |
20,260 | 16 | Title: Calibration-free BEV Representation for Infrastructure Perception
Abstract: Effective BEV object detection on infrastructure can greatly improve traffic scenes understanding and vehicle-toinfrastructure (V2I) cooperative perception. However, cameras installed on infrastructure have various postures, and previous... | [
17286,
4462
] | Train |
20,261 | 23 | Title: Service Composition in the ChatGPT Era
Abstract: The paper speculates about how ChatGPT-like systems can support the field of automated service composition and identifies new research areas to explore in order to take advantage of such tools in the field of service-oriented composition. | [
13510
] | Train |
20,262 | 16 | Title: RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
Abstract: Recently, neural implicit surfaces have become popular for multi-view reconstruction. To facilitate practical applications like scene editing and manipulation, some works extend the framework with semantic masks input for the o... | [
11505,
22639,
4143
] | Train |
20,263 | 24 | Title: TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Abstract: Multivariate time series classification (MTSC) is an important data mining task, which can be effectively solved by popular deep learning technology. Unfortunately, the existing deep learning-based methods neglec... | [
32869
] | Validation |
20,264 | 20 | Title: A Note on the k-colored Crossing Ratio of Dense Geometric Graphs
Abstract: A \emph{geometric graph} is a graph whose vertex set is a set of points in general position in the plane, and its edges are straight line segments joining these points. We show that for every integer $k \ge 2$, there exists a constat $c>0... | [] | Train |
20,265 | 30 | Title: OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding
Abstract: Spoken Language Understanding (SLU) is one of the core components of a task-oriented dialogue system, which aims to extract the semantic meaning of user queries (e.g., intents and slots). In this work, we introduc... | [] | Validation |
20,266 | 27 | Title: Robust Fusion for Bayesian Semantic Mapping
Abstract: The integration of semantic information in a map allows robots to understand better their environment and make high-level decisions. In the last few years, neural networks have shown enormous progress in their perception capabilities. However, when fusing mul... | [
34607
] | Train |
20,267 | 15 | Title: Collective Communication Patterns Using Time-Reversal Terahertz Links at the Chip Scale
Abstract: Wireless communications in the terahertz band have been recently proposed as complement to conventional wired interconnects within computing packages. Such environments are typically highly reverberant, hence showin... | [] | Train |
20,268 | 10 | Title: EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture
Abstract: As global digitization continues to grow, technology becomes more affordable and easier to use, and social media platforms thrive, becoming the new means of spreading information and news. Communities are built around sharing an... | [
31687
] | Train |
20,269 | 16 | Title: GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
Abstract: Histopathological image segmentation is a laborious and time-intensive task, often requiring analysis from experienced pathologists for accurate examinations. To reduce this burden, supervised machine-... | [] | Validation |
20,270 | 16 | Title: Region-Wise Attentive Multi-View Representation Learning for Urban Region Embeddings
Abstract: Urban region embedding is an important and yet highly challenging issue due to the complexity and constantly changing nature of urban data. To address the challenges, we propose a Region-Wise Multi-View Representation ... | [] | Test |
20,271 | 28 | Title: PAC Codes for Source and Joint Source-Channel Coding
Abstract: Polarization-adjusted convolutional (PAC) codes, as a concatenated coding scheme based on polar codes, is able to approach the finite-length bound of binary-input AWGN channel at short blocklengths. In this paper, we extend PAC codes to the fields of... | [] | Train |
20,272 | 30 | Title: Iterative Translation Refinement with Large Language Models
Abstract: Large language models have shown surprising performances in understanding instructions and performing natural language tasks. In this paper, we propose iterative translation refinement to leverage the power of large language models for more na... | [
19010,
5891,
37411,
14055,
27340,
32659,
18359,
1789
] | Train |
20,273 | 17 | Title: StyleDEM: a Versatile Model for Authoring Terrains
Abstract: Many terrain modelling methods have been proposed for the past decades, providing efficient and often interactive authoring tools. However, they generally do not include any notion of style, which is a critical aspect for designers in the entertainment... | [] | Train |
20,274 | 16 | Title: ETran: Energy-Based Transferability Estimation
Abstract: This paper addresses the problem of ranking pre-trained models for object detection and image classification. Selecting the best pre-trained model by fine-tuning is an expensive and time-consuming task. Previous works have proposed transferability estimati... | [] | Validation |
20,275 | 4 | Title: IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models
Abstract: The popularity of dynamic malware analysis has grown significantly, as it enables analysts to observe the behavior of executing samples, thereby enhancing malware detection and classification decisions. With the continuous inc... | [
35765
] | Train |
20,276 | 5 | Title: Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems
Abstract: Environmentally-powered computer systems operate on renewable energy harvested from their environment, such as solar or wind, and stored in batteries. While harvesting environmental energy has long been necess... | [] | Train |
20,277 | 28 | Title: Channel Estimation By Transmitting Pilots From Reconfigurable Intelligent Surface
Abstract: Reconfigurable intelligent surface (RIS) is a promising technology for future wireless communication systems. Channel estimation (CE) of RIS device is a critical but also challenging issue for its development. The mainstr... | [] | Train |
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