node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
36,978 | 10 | Title: PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
Abstract: Drug development is a complex process that aims to test the efficacy and safety of candidate drugs in the human body for regulatory approval via clinical trials. Recently, machine learning has emerged as a vital tool for... | [
9408,
30162,
2490,
23511
] | Test |
36,979 | 9 | Title: Tensors Ranks and the Fine-Grained Complexity of Dynamic Programming
Abstract: Generalizing work of K\"unnemann, Paturi, and Schneider [ICALP 2017], we study a wide class of high-dimensional dynamic programming (DP) problems in which one must find the shortest path between two points in a high-dimensional grid g... | [] | Train |
36,980 | 16 | Title: EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning
Abstract: Learning to predict agent motions with relationship reasoning is important for many applications. In motion prediction tasks, maintaining motion equivariance under Euclidean geometric transformations and invariance... | [
13602,
10132,
4029,
3502
] | Test |
36,981 | 31 | Title: DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research
Abstract: The exponential growth in scholarly publications necessitates advanced tools for efficient article retrieval, especially in interdisciplinary fields where diverse terminologies are used to describe ... | [
8481,
642,
17545,
12563,
7351
] | Test |
36,982 | 24 | Title: Embedding Theory of Reservoir Computing and Reducing Reservoir Network Using Time Delays
Abstract: Reservoir computing (RC), a particular form of recurrent neural network, is under explosive development due to its exceptional efficacy and high performance in reconstruction or/and prediction of complex physical s... | [
45693
] | Train |
36,983 | 4 | Title: Privacy and Bias Analysis of Disclosure Avoidance Systems
Abstract: Disclosure avoidance (DA) systems are used to safeguard the confidentiality of data while allowing it to be analyzed and disseminated for ana-lytic purposes. These methods, e.g., cell suppression, swapping, and k-anonymity, are commonly applied a... | [] | Validation |
36,984 | 24 | Title: Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning
Abstract: Off-policy learning from multistep returns is crucial for sample-efficient reinforcement learning, but counteracting off-policy bias without exacerbating variance is challenging. Classically, off-policy bias is corrected in a per... | [] | Test |
36,985 | 16 | Title: On the Interplay of Convolutional Padding and Adversarial Robustness
Abstract: It is common practice to apply padding prior to convolution operations to preserve the resolution of feature-maps in Convolutional Neural Networks (CNN). While many alternatives exist, this is often achieved by adding a border of zero... | [
23357
] | Train |
36,986 | 30 | Title: In-Context Instruction Learning
Abstract: Instruction learning of Large Language Models (LLMs) has enabled zero-shot task generalization. However, instruction learning has been predominantly approached as a fine-tuning problem, including instruction tuning and reinforcement learning from human feedback, where LL... | [
482,
37383,
39273,
38218,
44202,
2764,
5423,
14609,
10964,
33940,
4438,
43327
] | Train |
36,987 | 31 | Title: Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation
Abstract: Recommendation systems are ubiquitous yet often difficult for users to control and adjust when recommendation quality is poor. This has motivated the development of conversational recommendation systems (CRSs), with contro... | [
27281,
34874
] | Train |
36,988 | 16 | Title: Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data
Abstract: Climate crisis and correlating prolonged, more intense periods of drought threaten tree health in cities and forests. In consequence, arborists and for... | [] | Validation |
36,989 | 16 | Title: CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance Segmentation
Abstract: We propose a novel approach for RGB-D salient instance segmentation using a dual-branch cross-modal feature calibration architecture called CalibNet. Our method simultaneously calibrates depth and RGB features in the ... | [] | Validation |
36,990 | 24 | Title: DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies
Abstract: We introduce an information-theoretic quantity with similar properties to mutual information that can be estimated from data without making explicit assumptions on the underlying distribution. This quantity is based on a rece... | [] | Train |
36,991 | 30 | Title: HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
Abstract: As the use of Large Language Models (LLMs) in text generation tasks proliferates, concerns arise over their potential to compromise academic integrity. The education sector cu... | [
31330,
12614,
27367,
33800,
3050,
497,
31857,
38235,
7796,
5174,
40055,
44603
] | Validation |
36,992 | 27 | Title: Environment for the Design and Automation of New CDPR Architectures
Abstract: This paper presents a design and automation environment to study the control trajectory for new CDPR architectures, for instance CDPRs with an unusual number of cables or different motor location in the robot frame. In order to test th... | [] | Train |
36,993 | 16 | Title: SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
Abstract: High-resolution images enable neural networks to learn richer visual representations. However, this improved performance comes at the cost of growing computational complexity, hindering their usage in latency-sen... | [
45093,
5878
] | Test |
36,994 | 16 | Title: Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown Environments
Abstract: Autonomous navigation in unstructured off-road environments is greatly improved by semantic scene understanding. Conventional image processing algorithms are difficult to implement and lack robu... | [] | Train |
36,995 | 16 | Title: OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
Abstract: We introduce OpenIllumination, a real-world dataset containing over 108K images of 64 objects with diverse materials, captured under 72 camera views and a large number of different illuminations. For each im... | [
32768,
11874
] | Train |
36,996 | 24 | Title: Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
Abstract: Electron, optical, and scanning probe microscopy methods are generating ever increasing volume of image data containing information on atomic and mesoscale structures and functionalities. This... | [] | Validation |
36,997 | 27 | Title: Polynomial-based Online Planning for Autonomous Drone Racing in Dynamic Environments
Abstract: In recent years, there is a noteworthy advancement in autonomous drone racing. However, the primary focus is on attaining execution times, while scant attention is given to the challenges of dynamic environments. The h... | [
32405,
6663
] | Test |
36,998 | 8 | Title: On Learning Intrinsic Rewards for Faster Multi-Agent Reinforcement Learning based MAC Protocol Design in 6G Wireless Networks
Abstract: In this paper, we propose a novel framework for designing a fast convergent multi-agent reinforcement learning (MARL)-based medium access control (MAC) protocol operating in a s... | [] | Train |
36,999 | 16 | Title: RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation
Abstract: Class-incremental semantic image segmentation assumes multiple model updates, each enriching the model to segment new categories. This is typically carried out by providing expensive pixel-level annotations to the traini... | [
14448
] | Train |
37,000 | 6 | Title: ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data
Abstract: Exploration and analysis of high-dimensional data are important tasks in many fields that produce large and complex data, like the financial sector, systems biology, or cultural heritage. Tailor-made visual analyt... | [] | Test |
37,001 | 24 | Title: Bayes Complexity of Learners vs Overfitting
Abstract: We introduce a new notion of complexity of functions and we show that it has the following properties: (i) it governs a PAC Bayes-like generalization bound, (ii) for neural networks it relates to natural notions of complexity of functions (such as the variati... | [] | Train |
37,002 | 16 | Title: Robust Transformer with Locality Inductive Bias and Feature Normalization
Abstract: nan | [
3669
] | Train |
37,003 | 16 | Title: Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
Abstract: The expenses involved in training state-of-the-art deep hashing retrieval models have witnessed an increase due to the adoption of more sophisticated models and large-scale datasets. Dataset Distillation (DD) ... | [
29951
] | Validation |
37,004 | 23 | Title: Automatic Extraction of Security-Rich Dataflow Diagrams for Microservice Applications written in Java
Abstract: nan | [] | Train |
37,005 | 30 | Title: Bidirectional Attention as a Mixture of Continuous Word Experts
Abstract: Bidirectional attention $\unicode{x2013}$ composed of self-attention with positional encodings and the masked language model (MLM) objective $\unicode{x2013}$ has emerged as a key component of modern large language models (LLMs). Despite i... | [
1376,
5755,
2668
] | Train |
37,006 | 3 | Title: #RoeOverturned: Twitter Dataset on the Abortion Rights Controversy
Abstract: On June 24, 2022, the United States Supreme Court overturned landmark rulings made in its 1973 verdict in Roe v. Wade. The justices by way of a majority vote in Dobbs v. Jackson Women's Health Organization, decided that abortion wasn't ... | [
37136,
41097
] | Train |
37,007 | 20 | Title: Oriented Spanners
Abstract: Given a point set $P$ in the Euclidean plane and a parameter $t$, we define an \emph{oriented $t$-spanner} as an oriented subgraph of the complete bi-directed graph such that for every pair of points, the shortest cycle in $G$ through those points is at most a factor $t$ longer than t... | [] | Train |
37,008 | 24 | Title: Parallel Sampling of Diffusion Models
Abstract: Diffusion models are powerful generative models but suffer from slow sampling, often taking 1000 sequential denoising steps for one sample. As a result, considerable efforts have been directed toward reducing the number of denoising steps, but these methods hurt sa... | [
21152,
8994,
34215,
16298,
8308,
31256
] | Validation |
37,009 | 16 | Title: Judging a video by its bitstream cover
Abstract: Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially in an age where an immense volume of video content is constantly being generated. Traditional methods require video decomp... | [] | Train |
37,010 | 27 | Title: On-manifold Decentralized State Estimation using Pseudomeasurements and Preintegration
Abstract: This paper addresses the problem of decentralized, collaborative state estimation in robotic teams. In particular, this paper considers problems where individual robots estimate similar physical quantities, such as e... | [
12791
] | Test |
37,011 | 24 | Title: Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms
Abstract: Classical reinforcement learning (RL) aims to optimize the expected cumulative reward. In this work, we consider the RL setting where the goal is to optimize the quantile of the cumulative reward. We parameterize ... | [] | Test |
37,012 | 16 | Title: MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
Abstract: Estimating surface normals from 3D point clouds is critical for various applications, including surface reconstruction and rendering. While existing methods for normal estimation perform well in regions ... | [] | Validation |
37,013 | 24 | Title: Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems
Abstract: nan | [
11185
] | Train |
37,014 | 27 | Title: Learning Humanoid Locomotion with Transformers
Abstract: We present a sim-to-real learning-based approach for real-world humanoid locomotion. Our controller is a causal Transformer trained by autoregressive prediction of future actions from the history of observations and actions. We hypothesize that the observa... | [
36775,
19596,
80,
5587,
28827,
10943
] | Train |
37,015 | 16 | Title: Autonomous Stabilization of Retinal Videos for Streamlining Assessment of Spontaneous Venous Pulsations
Abstract: Spontaneous retinal Venous Pulsations (SVP) are rhythmic changes in the caliber of the central retinal vein and are observed in the optic disc region (ODR) of the retina. Its absence is a critical in... | [
9350
] | Train |
37,016 | 16 | Title: DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution
Abstract: Efficient deep learning-based approaches have achieved remarkable performance in single image super-resolution. However, recent studies on efficient super-resolution have mainly focused on reducing the number of parameters... | [
24074,
1699
] | Train |
37,017 | 27 | Title: Steady-Hand Eye Robot 3.0: Optimization and Benchtop Evaluation for Subretinal Injection
Abstract: Subretinal injection methods and other procedures for treating retinal conditions and diseases (many considered incurable) have been limited in scope due to limited human motor control. This study demonstrates the ... | [] | Train |
37,018 | 30 | Title: Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite
Abstract: Label error is a ubiquitous problem in annotated data. Large amounts of label error substantially degrades the quality of deep learning models. Existing methods to tackle the label error problem largely focus... | [] | Train |
37,019 | 16 | Title: Proceedings of the 4th International Workshop on Reading Music Systems
Abstract: The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practit... | [] | Validation |
37,020 | 30 | Title: Attention over pre-trained Sentence Embeddings for Long Document Classification
Abstract: Despite being the current de-facto models in most NLP tasks, transformers are often limited to short sequences due to their quadratic attention complexity on the number of tokens. Several attempts to address this issue were... | [] | Validation |
37,021 | 28 | Title: Hybrid Polar Encoding with Applications in Non-Coherent Channels
Abstract: In coding theory, an error-correcting code can be encoded either systematically or non-systematically. In a systematic encode, the input data is embedded in the encoded output. Conversely, in a non-systematic code, the output does not con... | [] | Train |
37,022 | 8 | Title: Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem
Abstract: We show communication schedulers' recent work proposed for ML collectives does not scale to the increasing problem sizes that arise from training larger models. These works also often produce suboptimal schedules. We... | [] | Train |
37,023 | 16 | Title: Guided Distillation for Semi-Supervised Instance Segmentation
Abstract: Although instance segmentation methods have improved considerably, the dominant paradigm is to rely on fully-annotated training images, which are tedious to obtain. To alleviate this reliance, and boost results, semi-supervised approaches le... | [
4643
] | Train |
37,024 | 16 | Title: Householder Projector for Unsupervised Latent Semantics Discovery
Abstract: Generative Adversarial Networks (GANs), especially the recent style-based generators (StyleGANs), have versatile semantics in the structured latent space. Latent semantics discovery methods emerge to move around the latent code such that... | [
40492
] | Test |
37,025 | 4 | Title: A Survey of Network Requirements for Enabling Effective Cyber Deception
Abstract: In the evolving landscape of cybersecurity, the utilization of cyber deception has gained prominence as a proactive defense strategy against sophisticated attacks. This paper presents a comprehensive survey that investigates the cr... | [
36460,
11748
] | Train |
37,026 | 29 | Title: CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems
Abstract: Modern computer systems are highly-configurable, with hundreds of configuration options interacting, resulting in enormous configuration space. As a result, optimizing performance goals (e.g., laten... | [] | Train |
37,027 | 30 | Title: Evaluating Automatic Speech Recognition in an Incremental Setting
Abstract: The increasing reliability of automatic speech recognition has proliferated its everyday use. However, for research purposes, it is often unclear which model one should choose for a task, particularly if there is a requirement for speed ... | [] | Test |
37,028 | 31 | Title: Deep Neural Aggregation for Recommending Items to Group of Users
Abstract: Modern society devotes a significant amount of time to digital interaction. Many of our daily actions are carried out through digital means. This has led to the emergence of numerous Artificial Intelligence tools that assist us in various... | [
16340
] | Test |
37,029 | 16 | Title: WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Abstract: Visual anomaly classification and segmentation are vital for automating industrial quality inspection. The focus of prior research in the field has been on training custom models for each quality inspection task, which requires task-specif... | [
9825,
33922,
26372,
293,
18470,
25701,
35686,
10674,
30101,
27414,
5402,
46171
] | Train |
37,030 | 30 | Title: Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning
Abstract: Dialogue state tracking (DST) is an important step in dialogue management to keep track of users' beliefs. Existing works fine-tune all language model (LM) parameters to tackle the DST task, which requires significant data and co... | [] | Train |
37,031 | 28 | Title: Adaptive Privacy-Preserving Coded Computing With Hierarchical Task Partitioning
Abstract: Distributed computing is known as an emerging and efficient technique to support various intelligent services, such as large-scale machine learning. However, privacy leakage and random delays from straggling servers pose si... | [] | Validation |
37,032 | 30 | Title: Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters
Abstract: To translate speech for automatic dubbing, machine translation needs to be isochronous, i.e. translated speech needs to be aligned with the source in terms of speech durations. We introduce target factors in a transfor... | [
1625
] | Train |
37,033 | 27 | Title: Efficient Path Planning In Manipulation Planning Problems by Actively Reusing Validation Effort
Abstract: The path planning problems arising in manipulation planning and in task and motion planning settings are typically repetitive: the same manipulator moves in a space that only changes slightly. Despite this p... | [] | Train |
37,034 | 24 | Title: The Hessian perspective into the Nature of Convolutional Neural Networks
Abstract: While Convolutional Neural Networks (CNNs) have long been investigated and applied, as well as theorized, we aim to provide a slightly different perspective into their nature -- through the perspective of their Hessian maps. The r... | [
6941
] | Validation |
37,035 | 4 | Title: Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things
Abstract: In the present era of advanced technology, the Internet of Things (IoT) plays a crucial role in enabling smart connected environments. This includes various domains such as smart homes, smart healthcare, smart ... | [] | Train |
37,036 | 4 | Title: An Algorithm for Persistent Homology Computation Using Homomorphic Encryption
Abstract: Topological Data Analysis (TDA) offers a suite of computational tools that provide quantified shape features in high dimensional data that can be used by modern statistical and predictive machine learning (ML) models. In part... | [] | Test |
37,037 | 30 | Title: Large Language Models as Counterfactual Generator: Strengths and Weaknesses
Abstract: Large language models (LLMs) have demonstrated remarkable performance in a range of natural language understanding and generation tasks. Yet, their ability to generate counterfactuals, which can be used for areas like data augm... | [
6666
] | Train |
37,038 | 16 | Title: Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Abstract: Recent advances in semi-supervised semantic segmentation have been heavily reliant on pseudo labeling to compensate for limited labeled data, disregarding the valuable relational knowledge among semantic concepts. To bridge th... | [
31634
] | Test |
37,039 | 24 | Title: On Inductive Biases for Machine Learning in Data Constrained Settings
Abstract: Learning with limited data is one of the biggest problems of machine learning. Current approaches to this issue consist in learning general representations from huge amounts of data before fine-tuning the model on a small dataset of ... | [] | Test |
37,040 | 37 | Title: Optimizing the cloud? Don't train models. Build oracles!
Abstract: We propose cloud oracles, an alternative to machine learning for online optimization of cloud configurations. Our cloud oracle approach guarantees complete accuracy and explainability of decisions for problems that can be formulated as parametric... | [
39713
] | Train |
37,041 | 30 | Title: GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts
Abstract: Extracting workflow nets from textual descriptions can be used to simplify guidelines or formalize textual descriptions of formal processes like business processes and algorithms. The task of manually extracting proc... | [] | Validation |
37,042 | 25 | Title: Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering
Abstract: The challenge of fairness arises when Automatic Speech Recognition (ASR) systems do not perform equally well for all sub-groups of the population. In the past few years there have been many improvements i... | [] | Train |
37,043 | 10 | Title: Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
Abstract: As the field of Large Language Models (LLMs) evolves at an accelerated pace, the critical need to assess and monitor their performance emerges. We introduce a benchmarking framework focused on knowledge g... | [
20398,
31215
] | Validation |
37,044 | 30 | Title: Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages
Abstract: Connectionist Temporal Classification (CTC) models are popular for their balance between speed and performance for Automatic Speech Recognition (ASR). However, these CTC models still struggle in other areas, s... | [] | Train |
37,045 | 22 | Title: Automatic Alignment in Higher-Order Probabilistic Programming Languages
Abstract: nan | [
3476
] | Train |
37,046 | 16 | Title: MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations
Abstract: Multifold observations are common for different data modalities, e.g., a 3D shape can be represented by multi-view images and an image can be described with different captions. Existing cross-modal contrastiv... | [] | Train |
37,047 | 15 | Title: On the Susceptibility of QDI Circuits to Transient Faults
Abstract: By design, quasi delay-insensitive (QDI) circuits exhibit higher resilience against timing variations as compared to their synchronous counterparts. Since computation in QDI circuits is event-based rather than clock-triggered, spurious events du... | [] | Train |
37,048 | 34 | Title: Random Cuts are Optimal for Explainable k-Medians
Abstract: We show that the RandomCoordinateCut algorithm gives the optimal competitive ratio for explainable k-medians in l1. The problem of explainable k-medians was introduced by Dasgupta, Frost, Moshkovitz, and Rashtchian in 2020. Several groups of authors ind... | [] | Train |
37,049 | 24 | Title: Autoencoding Conditional Neural Processes for Representation Learning
Abstract: Conditional neural processes (CNPs) are a flexible and efficient family of models that learn to learn a stochastic process from observations. In the visual domain, they have seen particular application in contextual image completion ... | [] | Train |
37,050 | 24 | Title: Task-Guided IRL in POMDPs that Scales
Abstract: In inverse reinforcement learning (IRL), a learning agent infers a reward function encoding the underlying task using demonstrations from experts. However, many existing IRL techniques make the often unrealistic assumption that the agent has access to full informat... | [] | Train |
37,051 | 28 | Title: Robust Weighted Sum-Rate Maximization for Transmissive RIS Transmitter Enabled RSMA Networks
Abstract: Due to the low power consumption and low cost nature of transmissive reconfigurable intelligent surface (RIS),in this paper, we propose a downlink multi-user rate-splitting multiple access (RSMA) architecture b... | [] | Train |
37,052 | 28 | Title: A Simple Approximation Method for the Fisher–Rao Distance between Multivariate Normal Distributions
Abstract: We present a simple method to approximate the Fisher–Rao distance between multivariate normal distributions based on discretizing curves joining normal distributions and approximating the Fisher–Rao dist... | [
9615
] | Train |
37,053 | 16 | Title: VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores
Abstract: Vision-language models (VLMs) discriminatively pre-trained with contrastive image-text matching losses such as $P(\text{match}|\text{text}, \text{image})$ have been criticized for lacking compositional understandi... | [
10624,
9664,
38208,
24259,
33220,
7941,
13510,
2184,
37200,
32402,
6963,
39509,
26362,
35580
] | Train |
37,054 | 16 | Title: Underwater Target Detection Based on Improved YOLOv4
Abstract: As one of the underwater image processing methods, the underwater target detection algorithm is becoming increasingly important in daily life. An underwater target detection algorithm is proposed in this paper. The difference between this algorithm a... | [] | Test |
37,055 | 24 | Title: Prediction of Citrus Diseases Using Machine Learning And Deep Learning: Classifier, Models SLR
Abstract: Citrus diseases have been major issues for citrus growing worldwide for many years they can lead significantly reduce fruit quality. the most harmful citrus diseases are citrus canker, citrus greening, citrus... | [] | Train |
37,056 | 24 | Title: Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents
Abstract: Motivated by a number of real-world applications from domains like healthcare and sustainable transportation, in this paper we study a scenario of repeated principal-agent games within a multi-armed bandit (MAB) f... | [] | Train |
37,057 | 16 | Title: Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region
Abstract: Stroke-based rendering aims to recreate an image with a set of strokes. Most existing methods render complex images using an uniform-block-dividing strategy, which leads to boundary inconsistency artifacts. To solve... | [] | Train |
37,058 | 16 | Title: Robot Pose Nowcasting: Forecast the Future to Improve the Present
Abstract: In recent years, the effective and safe collaboration between humans and machines has gained significant importance, particularly in the Industry 4.0 scenario. A critical prerequisite for realizing this collaborative paradigm is precisel... | [
20585
] | Train |
37,059 | 28 | Title: Private Status Updating with Erasures: A Case for Retransmission Without Resampling
Abstract: A status updating system is considered in which a source updates a destination over an erasure channel. The utility of the updates is measured through a function of their age-of-information (AoI), which assesses their f... | [] | Train |
37,060 | 8 | Title: A Novel Design for Advanced 5G Deployment Environments with Virtualized Resources at Vehicular and MEC Nodes
Abstract: IoT and edge computing are profoundly changing the information era, bringing a hyper-connected and context-aware computing environment to reality. Connected vehicles are a critical outcome of th... | [] | Train |
37,061 | 24 | Title: An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness
Abstract: Zero-cost proxies are nowadays frequently studied and used to search for neural architectures. They show an impressive ability to predict the performance of architectures by making use of their untrained weig... | [
23357,
45222
] | Train |
37,062 | 16 | Title: Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
Abstract: Recovering 3D human mesh in the wild is greatly challenging as in-the-wild (ITW) datasets provide only 2D pose ground truths (GTs). Recently, 3D pseudo-GTs have been widely used to train 3D human mesh estimation networks as ... | [
18514
] | Train |
37,063 | 30 | Title: Linguistic Properties of Truthful Response
Abstract: We investigate the phenomenon of an LLM’s untruthful response using a large set of 220 handcrafted linguistic features. We focus on GPT-3 models and find that the linguistic profiles of responses are similar across model sizes. That is, how varying-sized LLMs ... | [
7936,
40192,
35580,
37360
] | Test |
37,064 | 6 | Title: AutoDOViz: Human-Centered Automation for Decision Optimization
Abstract: We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers [43] where experts ne... | [] | Train |
37,065 | 36 | Title: Time is Money: Strategic Timing Games in Proof-of-Stake Protocols
Abstract: We propose a model suggesting that honest-but-rational consensus participants may play timing games, and strategically delay their block proposal to optimize MEV capture, while still ensuring the proposal's timely inclusion in the canoni... | [
44559,
1143,
30937,
16155,
22655
] | Train |
37,066 | 27 | Title: Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance
Abstract: Localisation with Frequency-Modulated Continuous-Wave (FMCW) radar has gained increasing interest due to its inherent resistance to challenging environments. However, complex artefacts of the radar ... | [
45944
] | Train |
37,067 | 16 | Title: Improving zero-shot action recognition using human instruction with text description
Abstract: nan | [] | Validation |
37,068 | 24 | Title: Road Network Representation Learning: A Dual Graph-based Approach
Abstract: Road network is a critical infrastructure powering many applications including transportation, mobility and logistics in real life. To leverage the input of a road network across these different applications, it is necessary to learn the... | [] | Test |
37,069 | 6 | Title: Designing Mixed-Initiative Video Games
Abstract: The development of Artificial Intelligence (AI) enables humans to co-create content with machines. The unexpectedness of AI-generated content can bring inspiration and entertainment to users. However, the co-creation interactions are always designed for content cr... | [] | Train |
37,070 | 16 | Title: Scaling Vision Transformers to 22 Billion Parameters
Abstract: The scaling of Transformers has driven breakthrough capabilities for language models. At present, the largest large language models (LLMs) contain upwards of 100B parameters. Vision Transformers (ViT) have introduced the same architecture to image an... | [
45568,
34819,
35844,
23302,
27144,
18185,
4493,
1167,
16911,
21647,
6293,
46101,
15129,
4511,
2979,
29477,
13224,
14120,
8234,
2347,
10538,
34986,
14333,
15921,
25654,
24887,
1854,
7743,
11199,
19263,
31680,
6211,
39108,
7365,
3398,
3015,
3016,... | Test |
37,071 | 4 | Title: SMPC Task Decomposition: A Theory for Accelerating Secure Multi-party Computation Task
Abstract: Today, we are in the era of big data, and data are becoming more and more important, especially private data. Secure Multi-party Computation (SMPC) technology enables parties to perform computing tasks without reveal... | [] | Train |
37,072 | 23 | Title: Negative effects of gamification in education software: Systematic mapping and practitioner perceptions
Abstract: nan | [] | Validation |
37,073 | 27 | Title: QCQP-Tunneling: Ellipsoidal Constrained Agent Navigation
Abstract: This paper presents a convex-QCQP based novel path planning algorithm named ellipsoidal constrained agent navigation (ECAN), for a challenging problem of online path planning in completely unknown and unseen continuous environments. ECAN plans pa... | [] | Test |
37,074 | 30 | Title: Mixture Encoder for Joint Speech Separation and Recognition
Abstract: Multi-speaker automatic speech recognition (ASR) is crucial for many real-world applications, but it requires dedicated modeling techniques. Existing approaches can be divided into modular and end-to-end methods. Modular approaches separate sp... | [] | Train |
37,075 | 16 | Title: Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition
Abstract: Considering the instance-level discriminative ability, contrastive learning methods, including MoCo and SimCLR, have been adapted from the original image representation learning task to solve the self-supervised skeleto... | [
16353,
21466
] | Test |
37,076 | 24 | Title: Public Transit Demand Prediction During Highly Dynamic Conditions: A Meta-Analysis of State-of-the-Art Models and Open-Source Benchmarking Infrastructure
Abstract: Real-time demand prediction is a critical input for dynamic bus routing. While many researchers have developed numerous complex methods to predict sh... | [] | Train |
37,077 | 16 | Title: Bright Channel Prior Attention for Multispectral Pedestrian Detection
Abstract: Multispectral methods have gained considerable attention due to their promising performance across various fields. However, most existing methods cannot effectively utilize information from two modalities while optimizing time effici... | [] | Train |
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