node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
43,278 | 31 | Title: Selective Query Processing: a Risk-Sensitive Selection of System Configurations
Abstract: In information retrieval systems, search parameters are optimized to ensure high effectiveness based on a set of past searches and these optimized parameters are then used as the system configuration for all subsequent quer... | [] | Test |
43,279 | 16 | Title: DiffMimic: Efficient Motion Mimicking with Differentiable Physics
Abstract: Motion mimicking is a foundational task in physics-based character animation. However, most existing motion mimicking methods are built upon reinforcement learning (RL) and suffer from heavy reward engineering, high variance, and slow co... | [
25667
] | Test |
43,280 | 24 | Title: Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Abstract: Despite recent theoretical progress on the non-convex optimization of two-layer neural networks, it is still an open question whether gradient descent on neural networks without u... | [] | Validation |
43,281 | 24 | Title: DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Abstract: As machine learning models, specifically neural networks, are becoming increasingly popular, there are concerns regarding their trustworthiness, specially in safety-critical applications, e.g. actions of an autonomous vehi... | [] | Train |
43,282 | 24 | Title: Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding
Abstract: Large-scale data missing is a challenging problem in Intelligent Transportation Systems (ITS). Many studies have been carried out to impute large-scale traffic data by considering their spatiotemporal correlations at a netwo... | [] | Test |
43,283 | 34 | Title: Online Time-Windows TSP with Predictions
Abstract: In the Time-Windows TSP (TW-TSP) we are given requests at different locations on a network; each request is endowed with a reward and an interval of time; the goal is to find a tour that visits as much reward as possible during the corresponding time window. For... | [
3130,
44795
] | Train |
43,284 | 16 | Title: RoMa: Revisiting Robust Losses for Dense Feature Matching
Abstract: Dense feature matching is an important computer vision task that involves estimating all correspondences between two images of a 3D scene. In this paper, we revisit robust losses for matching from a Markov chain perspective, yielding theoretical... | [
35761,
42522,
4643,
33222
] | Train |
43,285 | 16 | Title: MFR-Net: Multi-faceted Responsive Listening Head Generation via Denoising Diffusion Model
Abstract: Face-to-face communication is a common scenario including roles of speakers and listeners. Most existing research methods focus on producing speaker videos, while the generation of listener heads remains largely o... | [
8421,
5445
] | Train |
43,286 | 16 | Title: Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
Abstract: Deep deraining networks, while successful in laboratory benchmarks, consistently encounter substantial generalization issues when deployed in real-world applications. A prevailing perspective in deep learning encourages ... | [
23893,
21886
] | Validation |
43,287 | 3 | Title: Reconciling Predictive and Statistical Parity: A Causal Approach
Abstract: Since the rise of fair machine learning as a critical field of inquiry, many different notions on how to quantify and measure discrimination have been proposed in the literature. Some of these notions, however, were shown to be mutually i... | [] | Train |
43,288 | 16 | Title: Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation
Abstract: Given a composite image, image harmonization aims to adjust the foreground illumination to be consistent with background. Previous methods have explored transforming foreground features to achieve competitive... | [] | Validation |
43,289 | 30 | Title: Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
Abstract: Citation plays a pivotal role in determining the associations among research articles. It portrays essential information in indicative, supportive, or contrastive studies. The task of inline citation classification a... | [] | Test |
43,290 | 10 | Title: Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs
Abstract: Hyperparameter optimization is crucial to achieving high performance in deep learning. On top of the performance, other criteria such as inference time or memory requirement often need to be optimized due to some practical reas... | [
22236
] | Test |
43,291 | 23 | Title: Code Reviewer Recommendation for Architecture Violations: An Exploratory Study
Abstract: Code review is a common practice in software development and often conducted before code changes are merged into the code repository. A number of approaches for automatically recommending appropriate reviewers have been prop... | [] | Train |
43,292 | 4 | Title: Fides: A Generative Framework for Result Validation of Outsourced Machine Learning Workloads via TEE
Abstract: The growing popularity of Machine Learning (ML) has led to its deployment in various sensitive domains, which has resulted in significant research focused on ML security and privacy. However, in some ap... | [] | Validation |
43,293 | 24 | Title: Smoothly Giving up: Robustness for Simple Models
Abstract: There is a growing need for models that are interpretable and have reduced energy and computational cost (e.g., in health care analytics and federated learning). Examples of algorithms to train such models include logistic regression and boosting. Howeve... | [] | Validation |
43,294 | 27 | Title: In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks
Abstract: A novel, learning-based method for in situ estimation of soil properties using a physics-infused neural network (PINN) is presented. The network is trained to produce estimates of soil cohesion, angle of i... | [] | Validation |
43,295 | 5 | Title: Early Detection for Multiversion Concurrency Control Conflicts in Hyperledger Fabric
Abstract: Hyperledger Fabric is a popular permissioned blockchain system that features a highly modular and extensible system for deploying permissioned blockchains which are expected to have a major effect on a wide range of se... | [] | Test |
43,296 | 16 | Title: Learning Neural Volumetric Representations of Dynamic Humans in Minutes
Abstract: This paper addresses the challenge of efficiently reconstructing volumetric videos of dynamic humans from sparse multi-view videos. Some recent works represent a dynamic human as a canonical neural radiance field (NeRF) and a motio... | [
43673,
30835,
44501
] | Validation |
43,297 | 16 | Title: DETR Doesn't Need Multi-Scale or Locality Design
Abstract: This paper presents an improved DETR detector that maintains a"plain"nature: using a single-scale feature map and global cross-attention calculations without specific locality constraints, in contrast to previous leading DETR-based detectors that reintro... | [
37844
] | Train |
43,298 | 30 | Title: Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
Abstract: Large Language Models (LLMs) have shown human-like reasoning abilities but still struggle with complex logical problems. This paper introduces a novel framework, Logic-LM, which integrates LLMs with symbolic... | [
19936,
24099,
18564,
27621,
33220,
4071,
37411,
33455,
22578,
10293,
10165,
5078,
27669,
45909,
17789
] | Test |
43,299 | 6 | Title: Image-to-Text Translation for Interactive Image Recognition: A Comparative User Study with Non-Expert Users
Abstract: Interactive machine learning (IML) allows users to build their custom machine learning models without expert knowledge. While most existing IML systems are designed with classification algorithms... | [] | Train |
43,300 | 16 | Title: Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation
Abstract: The goal of a speech-to-image transform is to produce a photo-realistic picture directly from a speech signal. Recently, various studies have focused on this task and have achieved promising performance. How... | [] | Validation |
43,301 | 16 | Title: Improving Presentation Attack Detection for ID Cards on Remote Verification Systems
Abstract: In this paper, an updated two-stage, end-to-end Presentation Attack Detection method for remote biometric verification systems of ID cards, based on MobileNetV2, is presented. Several presentation attack species such as... | [] | Train |
43,302 | 24 | Title: Similarity search in the blink of an eye with compressed indices
Abstract: Nowadays, data is represented by vectors. Retrieving those vectors, among millions and billions, that are similar to a given query is a ubiquitous problem, known as similarity search, of relevance for a wide range of applications. Graph-b... | [] | Test |
43,303 | 16 | Title: Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification
Abstract: Scalability is a significant challenge when it comes to applying differential privacy to training deep neural networks. The commonly used DP-SGD algorithm struggles to maintain a high level of privacy protection while... | [] | Test |
43,304 | 30 | Title: Data Augmentation for Low-Resource Keyphrase Generation
Abstract: Keyphrase generation is the task of summarizing the contents of any given article into a few salient phrases (or keyphrases). Existing works for the task mostly rely on large-scale annotated datasets, which are not easy to acquire. Very few works ... | [] | Train |
43,305 | 6 | Title: Quantifying Retrospective Human Responsibility in Intelligent Systems
Abstract: Intelligent systems have become a major part of our lives. Human responsibility for outcomes becomes unclear in the interaction with these systems, as parts of information acquisition, decision-making, and action implementation may b... | [] | Validation |
43,306 | 11 | Title: Agent-Based Modeling and its Tradeoffs: An Introduction & Examples
Abstract: Agent-based modeling is a computational dynamic modeling technique that may be less familiar to some readers. Agent-based modeling seeks to understand the behaviour of complex systems by situating agents in an environment and studying t... | [] | Test |
43,307 | 28 | Title: Directed Message Passing Based on Attention for Prediction of Molecular Properties
Abstract: Molecular representation learning (MRL) has long been crucial in the fields of drug discovery and materials science, and it has made significant progress due to the development of natural language processing (NLP) and gr... | [] | Train |
43,308 | 24 | Title: Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
Abstract: We study the problem of designing adaptive multi-armed bandit algorithms that perform optimally in both the stochastic setting and the adversarial setting simultaneously (often know... | [
30091,
2732
] | Validation |
43,309 | 27 | Title: ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
Abstract: This paper introduces Amazon Robotic Manipulation Benchmark (ARMBench), a large-scale, object-centric benchmark dataset for robotic manipulation in the context of a warehouse. Automation of operations in modern warehouses requires a... | [
23968
] | Train |
43,310 | 27 | Title: Comparative Study of Visual SLAM-Based Mobile Robot Localization Using Fiducial Markers
Abstract: This paper presents a comparative study of three modes for mobile robot localization based on visual SLAM using fiducial markers (i.e., square-shaped artificial landmarks with a black-and-white grid pattern): SLAM, ... | [] | Train |
43,311 | 28 | Title: Semantic Communication of Learnable Concepts
Abstract: We consider the problem of communicating a sequence of concepts, i.e., unknown and potentially stochastic maps, which can be observed only through examples, i.e., the mapping rules are unknown. The transmitter applies a learning algorithm to the available ex... | [] | Test |
43,312 | 23 | Title: A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports
Abstract: Bug reports are an essential aspect of software development, and it is crucial to identify and resolve them quickly to ensure the consistent functioning of software systems. Retrieving similar bug reports from an e... | [
37293
] | Validation |
43,313 | 8 | Title: Task-Oriented Delay-Aware Multi-Tier Computing in Cell-Free Massive MIMO Systems
Abstract: Multi-tier computing can enhance the task computation by multi-tier computing nodes. In this paper, we propose a cell-free massive multiple-input multiple-output (MIMO) aided computing system by deploying multi-tier comput... | [] | Train |
43,314 | 2 | Title: Termination in Concurrency, Revisited
Abstract: Termination is a central property in sequential programming models: a term is terminating if all its reduction sequences are finite. Termination is also important in concurrency in general, and for message-passing programs in particular. A variety of type systems t... | [] | Validation |
43,315 | 24 | Title: An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application
Abstract: Incremental random weight neural networks (IRWNNs) have gained attention in view of its easy implementation and fast learning. However, a significant drawback of IRWNNs is that the elationship betw... | [] | Train |
43,316 | 24 | Title: An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-Markov Decision Processes
Abstract: A large variety of real-world Reinforcement Learning (RL) tasks is characterized by a complex and heterogeneous structure that makes end-to-end (or flat) approaches hardly applicable or even ... | [] | Test |
43,317 | 38 | Title: Soft-Search: Two Datasets to Study the Identification and Production of Research Software
Abstract: Software is an important tool for scholarly work, but software produced for research is in many cases not easily identifiable or discoverable. A potential first step in linking research and software is software id... | [] | Validation |
43,318 | 16 | Title: DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving
Abstract: Outdoor 3D object detection has played an essential role in the environment perception of autonomous driving. In complicated traffic situations, precise object recognition provides indispensable information for pre... | [
1268
] | Validation |
43,319 | 24 | Title: On the Soundness of XAI in Prognostics and Health Management (PHM)
Abstract: The aim of predictive maintenance, within the field of prognostics and health management (PHM), is to identify and anticipate potential issues in the equipment before these become serious. The main challenge to be addressed is to assess... | [] | Train |
43,320 | 30 | Title: From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Abstract: Language models (LMs) are pretrained on diverse data sources—news, discussion forums, books, online encyclopedias. A significant portion of this data includes facts and opi... | [
33220,
13700,
2608,
12500,
2549,
32567,
23421
] | Test |
43,321 | 23 | Title: A UML Profile for Bitcoin Blockchain
Abstract: Blockchain has received attention for its potential use in business. Bitcoin is powered by blockchain, and interest in it has surged in the past few years. It has many uses that need to be modeled. Modeling is used in many walks of life to share ideas, reduce comple... | [] | Validation |
43,322 | 31 | Title: Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction
Abstract: In this study, we propose a novel SeqMF model to solve the problem of predicting the next app launch during mobile device usage. Although this problem can be represented as a classical collaborative filtering problem... | [] | Train |
43,323 | 38 | Title: A multi-level analysis of data quality for formal software citation
Abstract: Software is a central part of modern science, and knowledge of its use is crucial for the scientific community with respect to reproducibility and attribution of its developers. Several studies have investigated in-text mentions of sof... | [] | Train |
43,324 | 34 | Title: Minimum Consistent Subset for Trees Revisited
Abstract: In a vertex-colored graph $G = (V, E)$, a subset $S \subseteq V$ is said to be consistent if every vertex has a nearest neighbor in $S$ with the same color. The problem of computing a minimum cardinality consistent subset of a graph is known to be NP-hard. ... | [
22850
] | Test |
43,325 | 27 | Title: Design and Characterization of Viscoelastic McKibben Actuators with Tunable Force-Velocity Curves
Abstract: The McKibben pneumatic artificial muscle is a commonly studied soft robotic actuator, and its quasistatic force-length properties have been well characterized and modeled. However, its damping and force-ve... | [] | Train |
43,326 | 30 | Title: On the Origins of Bias in NLP through the Lens of the Jim Code
Abstract: In this paper, we trace the biases in current natural language processing (NLP) models back to their origins in racism, sexism, and homophobia over the last 500 years. We review literature from critical race theory, gender studies, data eth... | [
8648,
13821
] | Train |
43,327 | 30 | Title: A Survey on In-context Learning
Abstract: With the increasing ability of large language models (LLMs), in-context learning (ICL) has become a new paradigm for natural language processing (NLP), where LLMs make predictions only based on contexts augmented with a few examples. It has been a new trend to explore IC... | [
10624,
24832,
27905,
8195,
43267,
43906,
45577,
45821,
39439,
41104,
21778,
44947,
8340,
8213,
42393,
13082,
33179,
12445,
14368,
30243,
1572,
32419,
36392,
26153,
5423,
32689,
19250,
9012,
15413,
17462,
21815,
33461,
44727,
24635,
6719,
12485,
... | Train |
43,328 | 16 | Title: Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
Abstract: Inspired by the remarkable success of Latent Diffusion Models (LDMs) for image synthesis, we study LDM for text-to-video generation, which is a formidable challenge due to the computational and memory constraints during both model trai... | [
10624,
20960,
42272,
38696,
12841,
23563,
11820,
7597,
41104,
9364,
17526,
25368
] | Train |
43,329 | 24 | Title: Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market
Abstract: Modern financial electronic exchanges are an exciting and fast-paced marketplace where billions of dollars change hands every day. They are also rife with manipulation and fraud. Detecting such activity is a major undertakin... | [] | Test |
43,330 | 9 | Title: On the complexity of the approximate hypergraph homomorphism problem
Abstract: Understanding the computational complexity of fragments of the Constraint Satisfaction Problem (CSP) has been instrumental in the formulation of Feder-Vardi's Dichotomy Conjecture and its positive resolution by Bulatov and Zhuk. An ap... | [] | Validation |
43,331 | 16 | Title: BLiSS: Bootstrapped Linear Shape Space
Abstract: Morphable models are fundamental to numerous human-centered processes as they offer a simple yet expressive shape space. Creating such morphable models, however, is both tedious and expensive. The main challenge is establishing dense correspondences across raw sca... | [] | Train |
43,332 | 5 | Title: Flash: An Asynchronous Payment System with Good-Case Linear Communication Complexity
Abstract: While the original purpose of blockchains was to realize a payment system, it has been shown that, in fact, such systems do not require consensus and can be implemented deterministically in asynchronous networks. State... | [
27445
] | Train |
43,333 | 24 | Title: Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning
Abstract: One predominant challenge in additive manufacturing (AM) is to achieve specific material properties by manipulating manufacturing process parameters during the runtime. Such manipulation tends ... | [] | Test |
43,334 | 4 | Title: Area Efficient Modular Reduction in Hardware for Arbitrary Static Moduli
Abstract: Modular reduction is a crucial operation in many post-quantum cryptographic schemes, including the Kyber key exchange method or Dilithium signature scheme. However, it can be computationally expensive and pose a performance bottle... | [] | Validation |
43,335 | 24 | Title: Learning Embeddings for Sequential Tasks Using Population of Agents
Abstract: We present an information-theoretic framework to learn fixed-dimensional embeddings for tasks in reinforcement learning. We leverage the idea that two tasks are similar to each other if observing an agent's performance on one task redu... | [
16740
] | Train |
43,336 | 28 | Title: Asymptotic nonnegative rank of matrices
Abstract: The nonnegative rank of nonnegative matrices is an important quantity that appears in many fields, such as combinatorial optimization, communication complexity, and information theory. In this paper, we study the asymptotic growth of the nonnegative rank of a fix... | [] | Train |
43,337 | 24 | Title: A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions
Abstract: Manufacturing advanced materials and products with a specific property or combination of properties is often warranted. To achieve that it is crucial to find out the optimum recipe or processi... | [
40115
] | Train |
43,338 | 28 | Title: Scalable Cell-Free Massive MIMO Unsourced Random Access System
Abstract: Cell-Free Massive MIMO systems aim to expand the coverage area of wireless networks by replacing a single high-performance Access Point (AP) with multiple small, distributed APs connected to a Central Processing Unit (CPU) through a frontha... | [] | Train |
43,339 | 38 | Title: Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status
Abstract: nan | [] | Validation |
43,340 | 24 | Title: Learning non-Markovian Decision-Making from State-only Sequences
Abstract: Conventional imitation learning assumes access to the actions of demonstrators, but these motor signals are often non-observable in naturalistic settings. Additionally, sequential decision-making behaviors in these settings can deviate fr... | [] | Train |
43,341 | 28 | Title: MDS and MHDR cyclic codes over finite chain rings
Abstract: In this work, a unique set of generators for a cyclic code over a finite chain ring has been established. The minimal spanning set and rank of the code have also been determined. Further, sufficient as well as necessary conditions for a cyclic code to b... | [] | Train |
43,342 | 30 | Title: Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches
Abstract: The Brazilian judiciary has a large workload, resulting in a long time to finish legal proceedings. Brazilian National Council of Justice has established in Resolution 469/2022 for... | [] | Validation |
43,343 | 24 | Title: Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Abstract: The relational data model was designed to facilitate large-scale data management and analytics. We consider the problem of how to differentiate computations expressed relationally. We show experimentally that a relati... | [] | Train |
43,344 | 23 | Title: Application of Systems Engineering Process in Building ML-Enabled Systems
Abstract: Machine learning (ML) components are being added to more and more critical and impactful software systems, but the software development process of real-world production systems from prototyped ML models remains challenging with a... | [
26118
] | Train |
43,345 | 20 | Title: Learning topological operations on meshes with application to block decomposition of polygons
Abstract: We present a learning based framework for mesh quality improvement on unstructured triangular and quadrilateral meshes. Our model learns to improve mesh quality according to a prescribed objective function pur... | [
1117
] | Validation |
43,346 | 24 | Title: Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
Abstract: As data-driven intelligent systems advance, the need for reliable and transparent decision-making mechanisms has become increasingly important. Therefore, it is essential to ... | [] | Validation |
43,347 | 27 | Title: E3-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles
Abstract: Motivated by the advances in deep learning techniques, the application of Unmanned Aerial Vehicle (UAV)-based object detection has proliferated across a range of fields, including vehicle counting, fire detectio... | [] | Train |
43,348 | 30 | Title: NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
Abstract: Norms, which are culturally accepted guidelines for behaviours, can be integrated into conversational models to generate utterances that are appropriate for the socio-cultural context. Existing methods for norm recognition ten... | [
4670
] | Train |
43,349 | 16 | Title: Expressive Speech-Driven Facial Animation with Controllable Emotions
Abstract: It is in high demand to generate facial animation with high realism, but it remains a challenging task. Existing approaches of speech-driven facial animation can produce satisfactory mouth movement and lip synchronization, but show we... | [] | Test |
43,350 | 16 | Title: DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
Abstract: Image composition refers to inserting a foreground object into a background image to obtain a composite image. In this work, we focus on generating plausible shadow for the inserted foreground object to make the composite image more... | [] | Test |
43,351 | 30 | Title: Adapting Transformer Language Models for Predictive Typing in Brain-Computer Interfaces
Abstract: Brain-computer interfaces (BCI) are an important mode of alternative and augmentative communication for many people. Unlike keyboards, many BCI systems do not display even the 26 letters of English at one time, let ... | [] | Train |
43,352 | 28 | Title: Personalized Resource Allocation in Wireless Networks: An AI-Enabled and Big Data-Driven Multi-Objective Optimization
Abstract: The design and optimization of wireless networks have mostly been based on strong mathematical and theoretical modeling. Nonetheless, as novel applications emerge in the era of 5G and b... | [
41250
] | Train |
43,353 | 23 | Title: Are We Ready to Embrace Generative AI for Software Q&A?
Abstract: Stack Overflow, the world's largest software Q&A (SQA) website, is facing a significant traffic drop due to the emergence of generative AI techniques. ChatGPT is banned by Stack Overflow after only 6 days from its release. The main reason provided... | [
18984
] | Train |
43,354 | 30 | Title: Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation
Abstract: A key feature of neural models is that they can produce semantic vector representations of objects (texts, images, speech, etc.) ensuring that similar objects are close to each other in the vector space. While much work has... | [] | Train |
43,355 | 4 | Title: Machine Learning and Port Scans: A Systematic Review
Abstract: Port scanning is the process of attempting to connect to various network ports on a computing endpoint to determine which ports are open and which services are running on them. It is a common method used by hackers to identify vulnerabilities in a ne... | [
15279
] | Train |
43,356 | 16 | Title: Exploring Effective Mask Sampling Modeling for Neural Image Compression
Abstract: Image compression aims to reduce the information redundancy in images. Most existing neural image compression methods rely on side information from hyperprior or context models to eliminate spatial redundancy, but rarely address th... | [] | Train |
43,357 | 10 | Title: A Text-based Approach For Link Prediction on Wikipedia Articles
Abstract: This paper present our work in the DSAA 2023 Challenge about Link Prediction for Wikipedia Articles. We use traditional machine learning models with POS tags (part-of-speech tags) features extracted from text to train the classification mo... | [] | Train |
43,358 | 9 | Title: On the complexity of isomorphism problems for tensors, groups, and polynomials IV: linear-length reductions and their applications
Abstract: Many isomorphism problems for tensors, groups, algebras, and polynomials were recently shown to be equivalent to one another under polynomial-time reductions, prompting the... | [
28943
] | Train |
43,359 | 5 | Title: Memory Disaggregation: Advances and Open Challenges
Abstract: Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleetwide resource underutilization and increasing Total Cost of Ownership (TCO... | [] | Test |
43,360 | 34 | Title: Approximately Optimal Core Shapes for Tensor Decompositions
Abstract: This work studies the combinatorial optimization problem of finding an optimal core tensor shape, also called multilinear rank, for a size-constrained Tucker decomposition. We give an algorithm with provable approximation guarantees for its re... | [
24977,
38701
] | Validation |
43,361 | 24 | Title: A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning
Abstract: Construction of dictionaries using nonnegative matrix factorisation (NMF) has extensive applications in signal processing and machine learning. With the advances in deep learning, training compact and ro... | [] | Test |
43,362 | 8 | Title: Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review
Abstract: Internet of Things (IoT) is one of the fastest emerging networking paradigms enabling a large number of applications for the benefit of mankind. Advancements in embedded system technology and compressed IPv6 have enabled the sup... | [
22756,
35406,
16526,
18672,
34582
] | Validation |
43,363 | 24 | Title: Achieving Counterfactual Fairness with Imperfect Structural Causal Model
Abstract: Counterfactual fairness alleviates the discrimination between the model prediction toward an individual in the actual world (observational data) and that in counterfactual world (i.e., what if the individual belongs to other sensi... | [] | Train |
43,364 | 30 | Title: NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic
Abstract: Reasoning has been a central topic in artificial intelligence from the beginning. The recent progress made on distributed representation and neural networks continues to improve the state-of-the-art performance... | [] | Test |
43,365 | 24 | Title: Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Abstract: The exploration problem is one of the main challenges in deep reinforcement learning (RL). Recent promising works tried to handle the problem with population-based methods, which collect samples with ... | [
16784,
29283,
1252,
2070
] | Train |
43,366 | 23 | Title: Label Smoothing Improves Neural Source Code Summarization
Abstract: Label smoothing is a regularization technique for neural networks. Normally neural models are trained to an output distribution that is a vector with a single 1 for the correct prediction, and 0 for all other elements. Label smoothing converts t... | [] | Train |
43,367 | 6 | Title: Exploring AI-enhanced Shared Control for an Assistive Robotic Arm
Abstract: Assistive technologies and in particular assistive robotic arms have the potential to enable people with motor impairments to live a self-determined life. More and more of these systems have become available for end users in recent years... | [
7696,
11308,
30880
] | Train |
43,368 | 6 | Title: MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB
Abstract: Visualization plays an important role in analyzing and exploring time series data. To facilitate efficient visualization of large datasets, downsampling has emerged as a well-established approach. This work concentrates on LTTB (Largest-Triangle-... | [] | Test |
43,369 | 8 | Title: Fresh-Fi: Enhancing Information Freshness in Commodity WiFi Systems via Customizing Lower Layers
Abstract: Enhancing information freshness in wireless networks has gained significant attention in recent years. To optimize or analyze information freshness, which is often characterized by the age of information (A... | [] | Train |
43,370 | 16 | Title: FER-former: Multi-modal Transformer for Facial Expression Recognition
Abstract: The ever-increasing demands for intuitive interactions in Virtual Reality has triggered a boom in the realm of Facial Expression Recognition (FER). To address the limitations in existing approaches (e.g., narrow receptive fields and ... | [] | Train |
43,371 | 30 | Title: Evaluating the Efficacy of Supervised Learning vs Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media
Abstract: Large language models, particularly those akin to the rapidly progressing GPT series, are gaining traction for their expansive influence. While there ... | [
40192,
43267,
33220,
7628,
10221,
6700,
1269,
12602,
26973
] | Train |
43,372 | 25 | Title: Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song
Abstract: In this paper, we introduce a computational analysis of the field recording dataset of approximately 700 hours of Korean folk songs, which were recorded around 1980-90s. Because most of the songs were sung by non-expert musicians wit... | [] | Validation |
43,373 | 11 | Title: ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
Abstract: Multi-agent reinforcement learning (MARL) has achieved promising results in recent years. However, most existing reinforcement learning methods require a large amount of data for model training. In addition, data-efficient reinforcem... | [] | Validation |
43,374 | 24 | Title: Curiosity-Driven Reinforcement Learning based Low-Level Flight Control
Abstract: Curiosity is one of the main motives in many of the natural creatures with measurable levels of intelligence for exploration and, as a result, more efficient learning. It makes it possible for humans and many animals to explore effi... | [] | Train |
43,375 | 16 | Title: Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
Abstract: Visual Grounding (VG) aims at localizing target objects from an image based on given expressions and has made significant progress with the development of detection and vision transformer. However, existing VG methods... | [
39584,
17097,
22562,
41109
] | Train |
43,376 | 10 | Title: LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?
Abstract: Large language models (LLMs) have exhibited impressive capabilities in comprehending complex instructions. However, their blind adherence to provided instructions has led to concerns regarding risks of malicious use. Existing ... | [
7936,
35170,
21127,
18764,
45275,
10800,
497,
5522,
29396,
5909,
8853,
43925,
4408,
634,
4027,
10749
] | Test |
43,377 | 24 | Title: Novel batch active learning approach and its application to synthetic aperture radar datasets
Abstract: Active learning improves the performance of machine learning methods by judiciously selecting a limited number of unlabeled data points to query for labels, with the aim of maximally improving the underlying c... | [] | Train |
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