node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,178 | 24 | Title: Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
Abstract: Data silos, mainly caused by privacy and interoperability, significantly constrain collaborations among different organizations with similar data for the same purpose. Distributed learning based on divid... | [] | Validation |
24,179 | 24 | Title: Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Abstract: Self-supervised learning (SSL) for clinical time series data has received significant attention in recent literature, since these data are highly rich and provide important information about a patient's physiological state. ... | [] | Validation |
24,180 | 27 | Title: COSYS-AIRSIM: A Real-Time Simulation Framework Expanded for Complex Industrial Applications
Abstract: Within academia and industry, there has been a need for expansive simulation frameworks that include model-based simulation of sensors, mobile vehicles, and the environment around them. To this end, the modular,... | [] | Validation |
24,181 | 17 | Title: Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions
Abstract: Grid-free Monte Carlo methods based on the walk on spheres (WoS) algorithm solve fundamental partial differential equations (PDEs) like the Poisson equation without discretizing the problem domain or approximating f... | [
19569,
40806
] | Train |
24,182 | 24 | Title: Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression
Abstract: The coordination of robotic swarms and the remote wireless control of industrial systems are among the major use cases for 5G and beyond systems: in these cases, the massive amounts of sensory information tha... | [] | Train |
24,183 | 16 | Title: MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
Abstract: The recently proposed data augmentation TransMix employs attention labels to help visual transformers (ViT) achieve better robustness and performance. However, TransMix is deficient in two aspects: 1) The i... | [
19390
] | Validation |
24,184 | 24 | Title: Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detection
Abstract: This paper evaluates XGboost's performance given different dataset sizes and class distributions, from perfectly balanced to highly imbalanced. XGBoost has been selected for evaluation, as it stands out in several bench... | [] | Train |
24,185 | 27 | Title: Enhancing State Estimator for Autonomous Race Car : Leveraging Multi-modal System and Managing Computing Resources
Abstract: This paper introduces an innovative approach to enhance the state estimator for high-speed autonomous race cars, addressing challenges related to unreliable measurements, localization fail... | [] | Train |
24,186 | 14 | Title: Field theory with the Maxima computer algebra system
Abstract: The Maxima computer algebra system, the open-source successor to MACSYMA, the first general-purpose computer algebra system that was initially developed at the Massachusetts Institute of Technology in the late 1960s and later distributed by the Unite... | [] | Train |
24,187 | 24 | Title: Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference
Abstract: Alzheimer's disease (AD) is a neurodegenerative disorder that is beginning with amyloidosis, followed by neuronal loss and deterioration in structure, function, and c... | [] | Train |
24,188 | 30 | Title: Task Conditioned BERT for Joint Intent Detection and Slot-filling
Abstract: Dialogue systems need to deal with the unpredictability of user intents to track dialogue state and the heterogeneity of slots to understand user preferences. In this paper we investigate the hypothesis that solving these challenges as o... | [] | Train |
24,189 | 9 | Title: The Computational Complexity of Quantum Determinants
Abstract: In this work, we study the computational complexity of quantum determinants, a $q$-deformation of matrix permanents: Given a complex number $q$ on the unit circle in the complex plane and an $n\times n$ matrix $X$, the $q$-permanent of $X$ is defined... | [] | Train |
24,190 | 2 | Title: SCL(FOL) Can Simulate Non-Redundant Superposition Clause Learning
Abstract: We show that SCL(FOL) can simulate the derivation of non-redundant clauses by superposition for first-order logic without equality. Superposition-based reasoning is performed with respect to a fixed reduction ordering. The completeness p... | [
27193
] | Test |
24,191 | 8 | Title: Generative AI for Semantic Communication: Architecture, Challenges, and Outlook
Abstract: Semantic communication (SemCom) is expected to be a core paradigm in future communication networks, yielding significant benefits in terms of spectrum resource saving and information interaction efficiency. However, the exi... | [
30925
] | Train |
24,192 | 16 | Title: Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding
Abstract: Masked signal modeling has greatly advanced self-supervised pre-training for language and 2D images. However, it is still not fully explored in 3D scene understanding. Thus, this paper introduces Masked Shape Predictio... | [] | Train |
24,193 | 16 | Title: CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
Abstract: Vision-Language Pretraining (VLP) has shown impressive results on diverse downstream tasks by offline training on large-scale datasets. Regarding the growing nature of real-world data, such an ... | [
30989,
38734,
10783
] | Validation |
24,194 | 23 | Title: One Microservice per Developer: Is This the Trend in OSS?
Abstract: When developing and managing microservice systems, practitioners suggest that each microservice should be owned by a particular team. In effect, there is only one team with the responsibility to manage a given service. Consequently, one develope... | [
41389
] | Train |
24,195 | 4 | Title: Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering
Abstract: The development of clustering heuristics has demonstrated that Bitcoin is not completely anonymous. Currently, existing clustering heuristics only consider confirmed transactions recorded in the Bitcoin blockchain. However, unc... | [] | Train |
24,196 | 24 | Title: Bigger, Better, Faster: Human-level Atari with human-level efficiency
Abstract: We introduce a value-based RL agent, which we call BBF, that achieves super-human performance in the Atari 100K benchmark. BBF relies on scaling the neural networks used for value estimation, as well as a number of other design choic... | [
22816,
34214,
42858,
16431,
31890,
1139,
4822,
10679
] | Train |
24,197 | 4 | Title: Exploring Cybercriminal Activities, Behaviors and Profiles
Abstract: nan | [] | Test |
24,198 | 24 | Title: Neural Mixed Effects for Nonlinear Personalized Predictions
Abstract: Personalized prediction is a machine learning approach that predicts a person's future observations based on their past labeled observations and is typically used for sequential tasks, e.g., to predict daily mood ratings. When making personali... | [
31125
] | Train |
24,199 | 24 | Title: Active Learning with Positive and Negative Pairwise Feedback
Abstract: In this paper, we propose a generic framework for active clustering with queries for pairwise similarities between objects. First, the pairwise similarities can be any positive or negative number, yielding full flexibility in the type of feed... | [] | Train |
24,200 | 16 | Title: Urban Radiance Field Representation with Deformable Neural Mesh Primitives
Abstract: Neural Radiance Fields (NeRFs) have achieved great success in the past few years. However, most current methods still require intensive resources due to ray marching-based rendering. To construct urban-level radiance fields effi... | [] | Validation |
24,201 | 16 | Title: Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition
Abstract: nan | [] | Test |
24,202 | 16 | Title: SAOR: Single-View Articulated Object Reconstruction
Abstract: We introduce SAOR, a novel approach for estimating the 3D shape, texture, and viewpoint of an articulated object from a single image captured in the wild. Unlike prior approaches that rely on pre-defined category-specific 3D templates or tailored 3D s... | [] | Train |
24,203 | 16 | Title: Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Abstract: Various strategies for label-scarce object detection have been explored by the computer vision research community. These strategies mainly rely on assumptions that are specific to natural images and not ... | [] | Test |
24,204 | 3 | Title: Instrumental genesis through interdisciplinary collaboration - reflections on the emergence of a visualisation framework for video annotation data
Abstract: Instrumental genesis through interdisciplinary collaboration-reflections on the emergence of a visualisation framework for video annotation data XML This pa... | [] | Test |
24,205 | 5 | Title: DRackSim: Simulator for Rack-scale Memory Disaggregation
Abstract: Memory disaggregation has emerged as an alternative to traditional server architecture in data centers. This paper introduces DRackSim, a simulation infrastructure to model rack-scale hardware disaggregated memory. DRackSim models multiple comput... | [] | Validation |
24,206 | 20 | Title: Sparse Geometric Set Systems and the Beck-Fiala Conjecture
Abstract: We investigate the combinatorial discrepancy of geometric set systems having bounded shallow cell complexity in the Beck-Fiala setting, where each point belongs to at most t ranges. For set systems with shallow cell complexity ψ ( m, k ) = g ( ... | [] | Train |
24,207 | 30 | Title: Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing
Abstract: The sliding window approach provides an elegant way to handle contexts of sizes larger than the Transformer's input window, for tasks like language modeling. Here we extend this approach to the sequence-to-sequence tas... | [] | Test |
24,208 | 16 | Title: ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN
Abstract: In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating synthetic boys and girls facial data derived from StyleGAN2. ChildGAN is built by performing smooth domain transfer using tran... | [
38164
] | Test |
24,209 | 24 | Title: Modeling Supply and Demand in Public Transportation Systems
Abstract: The Harrisonburg Department of Public Transportation (HDPT) aims to leverage their data to improve the efficiency and effectiveness of their operations. We construct two supply and demand models that help the department identify gaps in their ... | [] | Train |
24,210 | 27 | Title: Magnetic Navigation using Attitude-Invariant Magnetic Field Information for Loop Closure Detection
Abstract: Indoor magnetic fields are a combination of Earth's magnetic field and disruptions induced by ferromagnetic objects, such as steel structural components in buildings. As a result of these disruptions, per... | [] | Train |
24,211 | 26 | Title: On weighted two-mode network projections
Abstract: The standard and fractional projections are extended from binary two-mode networks to weighted two-mode networks. Some interesting properties of the extended projections are proved. | [] | Train |
24,212 | 16 | Title: NU-AIR - A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles
Abstract: Annotated imagery capturing pedestrians and vehicles in an urban environment can be used to train Neural Networks (NNs) for machine vision tasks. This paper presents the first open-source aerial neur... | [] | Train |
24,213 | 36 | Title: Efficient methods for approximating the shapley value for asset sharing in energy communities
Abstract: With the emergence of energy communities, where a number of prosumers invest in shared renewable generation capacity and battery storage, the issue of fair allocation of benefits and costs has become increasin... | [] | Train |
24,214 | 27 | Title: Autonomous Control for Orographic Soaring of Fixed-Wing UAVs
Abstract: We present a novel controller for fixed-wing UAVs that enables autonomous soaring in an orographic wind field, extending flight endurance. Our method identifies soaring regions and addresses position control challenges by introducing a target... | [] | Test |
24,215 | 24 | Title: Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
Abstract: Recurrent Neural Networks (RNNs) have become an integral part of modeling and forecasting frameworks in areas like natural language processing and high-dimensional dynamical systems such as tu... | [
28952,
11029
] | Train |
24,216 | 30 | Title: BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
Abstract: The analysis of consumer sentiment, as expressed through reviews, can provide a wealth of insight regarding the quality of a product. While the study of sentiment analysis has been widely explored in many popular language... | [
41795
] | Test |
24,217 | 30 | Title: ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
Abstract: With the development of large language models (LLMs), zero-shot learning has attracted much attention for various NLP tasks. Different from prior works that generate training data with billion-scale natur... | [
16302,
9518,
30063,
26802,
1909,
2295,
19288
] | Test |
24,218 | 30 | Title: The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech
Abstract: We compare phone labels and articulatory features as input for cross-lingual transfer learning in text-to-speech (TTS) for low-resource languages (LRLs). Experiments with FastSpeech 2 and t... | [] | Train |
24,219 | 28 | Title: IRSA-based Unsourced Random Access over the Gaussian Channel
Abstract: A framework for the analysis of synchronous grant-free massive multiple access schemes based on the irregular repetition slotted ALOHA (IRSA) protocol and operating over the Gaussian multiple access channel is presented. IRSA-based schemes ar... | [] | Validation |
24,220 | 28 | Title: On the Capacity of Private Nonlinear Computation for Replicated Databases
Abstract: We consider the problem of private computation (PC) in a distributed storage system. In such a setting a user wishes to compute a function of f messages replicated across n noncolluding databases, while revealing no information a... | [] | Test |
24,221 | 36 | Title: Breaking the Envy Cycle: Best-of-Both-Worlds Guarantees for Subadditive Valuations
Abstract: We study best-of-both-worlds guarantees for the fair division of indivisible items among agents with subadditive valuations. Our main result establishes the existence of a random allocation that is simultaneously ex-ante... | [
8133,
28902,
36441,
41051,
38845
] | Train |
24,222 | 16 | Title: ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification
Abstract: Due to the limitations of inadequate Whole-Slide Image (WSI) samples with weak labels, pseudo-bag-based multiple instance learning (MIL) appears as a vibrant prospect in WSI classification. However, the p... | [] | Train |
24,223 | 25 | Title: A Novel Scheme to classify Read and Spontaneous Speech
Abstract: The COVID-19 pandemic has led to an increased use of remote telephonic interviews, making it important to distinguish between scripted and spontaneous speech in audio recordings. In this paper, we propose a novel scheme for identifying read and spo... | [] | Train |
24,224 | 16 | Title: Soft labelling for semantic segmentation: Bringing coherence to label down-sampling
Abstract: In semantic segmentation, training data down-sampling is commonly performed due to limited resources, the need to adapt image size to the model input, or improve data augmentation. This down-sampling typically employs d... | [] | Train |
24,225 | 16 | Title: Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR
Abstract: The application of 3D ground-penetrating radar (3D-GPR) for subgrade distress detection has gained widespread popularity. To enhance the efficiency and accuracy of detection, pioneering studies have attempted to adopt ... | [] | Test |
24,226 | 38 | Title: A Decade of Scholarly Research on Open Knowledge Graphs
Abstract: The proliferation of open knowledge graphs has led to a surge in scholarly research on the topic over the past decade. This paper presents a bibliometric analysis of the scholarly literature on open knowledge graphs published between 2013 and 2023... | [] | Validation |
24,227 | 4 | Title: GazePair: Efficient Pairing of Augmented Reality Devices Using Gaze Tracking
Abstract: As Augmented Reality (AR) devices become more prevalent and commercially viable, the need for quick, efficient, and secure schemes for pairing these devices has become more pressing. Current methods to securely exchange hologr... | [] | Test |
24,228 | 15 | Title: HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis
Abstract: Machine Learning (ML) has been widely adopted in design exploration using high level synthesis (HLS) to give a better and faster performance, and resource and power estimation at very early stages for FPGA-based desi... | [] | Validation |
24,229 | 24 | Title: Physics Inspired Approaches To Understanding Gaussian Processes
Abstract: Prior beliefs about the latent function to shape inductive biases can be incorporated into a Gaussian Process (GP) via the kernel. However, beyond kernel choices, the decision-making process of GP models remains poorly understood. In this ... | [] | Validation |
24,230 | 24 | Title: Near-optimal learning with average Hölder smoothness
Abstract: We generalize the notion of average Lipschitz smoothness proposed by Ashlagi et al. (COLT 2021) by extending it to H\"older smoothness. This measure of the"effective smoothness"of a function is sensitive to the underlying distribution and can be dram... | [] | Test |
24,231 | 24 | Title: Deep Anomaly Detection under Labeling Budget Constraints
Abstract: Selecting informative data points for expert feedback can significantly improve the performance of anomaly detection (AD) in various contexts, such as medical diagnostics or fraud detection. In this paper, we determine a set of theoretical condit... | [
293
] | Train |
24,232 | 24 | Title: SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records
Abstract: Type 2 diabetes mellitus (T2DM) is one of the most common diseases and a leading cause of death. The problem of early diagnosis of T2DM is challenging and necessary to prevent serious complications. This st... | [] | Train |
24,233 | 10 | Title: A Framework for Characterizing Novel Environment Transformations in General Environments
Abstract: To be robust to surprising developments, an intelligent agent must be able to respond to many different types of unexpected change in the world. To date, there are no general frameworks for defining and characteriz... | [
2293
] | Train |
24,234 | 37 | Title: Incremental Consistent Updating of Incomplete Databases
Abstract: Efficient consistency maintenance of incomplete and dynamic real-life databases is a quality label for further data analysis. In prior work, we tackled the generic problem of database updating in the presence of tuple generating constraints from a... | [] | Train |
24,235 | 4 | Title: The Complexity of Verifying Boolean Programs as Differentially Private
Abstract: We study the complexity of the problem of verifying differential privacy for while-like programs working over boolean values and making probabilistic choices. Programs in this class can be interpreted into finite-state discrete-time... | [
17491
] | Train |
24,236 | 27 | Title: TIMS: A Tactile Internet-Based Micromanipulation System with Haptic Guidance for Surgical Training
Abstract: Microsurgery involves the dexterous manipulation of delicate tissue or fragile structures such as small blood vessels, nerves, etc., under a microscope. To address the limitation of imprecise manipulation... | [] | Validation |
24,237 | 16 | Title: Learning Expressive Prompting With Residuals for Vision Transformers
Abstract: Prompt learning is an efficient approach to adapt transformers by inserting learnable set of parameters into the input and intermediate representations of a pre-trained model. In this work, we present Expressive Prompts with Residuals... | [] | Train |
24,238 | 10 | Title: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Abstract: This technical report presents AutoGen, a new framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, a... | [
14148,
33477,
13510,
27271,
14920,
40518,
2506,
16556,
37742,
5522,
36563,
41010,
2549,
10262,
1528,
1401,
12411
] | Train |
24,239 | 28 | Title: Algebraic and Geometric Characterizations Related to the Quantization Problem of the C2, 8 Channel
Abstract: In this paper, we consider the steps to be followed in the analysis and interpretation of the quantization problem related to the $C_{2,8}$ channel, where the Fuchsian differential equations, the generato... | [] | Train |
24,240 | 8 | Title: Fog Computing& IoT: Overview, Architecture and Applications
Abstract: Fog computing is an emerging technology in the field of network services where data transfer from one device to another to perform some kind of activity. Fog computing is an extended concept of cloud computing. It works in-between the Internet... | [] | Train |
24,241 | 24 | Title: Empirical Optimal Transport between Conditional Distributions
Abstract: Given samples from two joint distributions, we consider the problem of Optimal Transportation (OT) between the corresponding distributions conditioned on a common variable. The objective of this work is to estimate the associated transport c... | [] | Train |
24,242 | 8 | Title: XMasq: Low-Overhead Container Overlay Network Based on eBPF
Abstract: Recent years have witnessed a widespread adoption of containers in cloud computing. While containers simplify and accelerate application development, the existing container network technologies either incur significant overhead, which hurts pe... | [] | Test |
24,243 | 24 | Title: CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
Abstract: Partial-label learning (PLL) is an important weakly supervised learning problem, which allows each training example to have a candidate label set instead of a single ground-truth label. Identification-based methods have been ... | [] | Validation |
24,244 | 27 | Title: QP Chaser: Polynomial Trajectory Generation for Autonomous Aerial Tracking
Abstract: Maintaining the visibility of the targets is one of the major objectives of aerial tracking applications. This paper proposes QP Chaser, a trajectory planning pipeline that can enhance the visibility of single- and dual-target i... | [] | Test |
24,245 | 24 | Title: Incremental Verification of Neural Networks
Abstract: Complete verification of deep neural networks (DNNs) can exactly determine whether the DNN satisfies a desired trustworthy property (e.g., robustness, fairness) on an infinite set of inputs or not. Despite the tremendous progress to improve the scalability of... | [
39961,
17692
] | Validation |
24,246 | 39 | Title: An Approximation Algorithm for Multi Allocation Hub Location Problems
Abstract: The multi allocation p-hub median problem (MApHM), the multi allocation uncapacitated hub location problem (MAuHLP) and the multi allocation p-hub location problem (MApHLP) are common hub location problems with several practical appl... | [] | Validation |
24,247 | 16 | Title: We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space
Abstract: Real-world objects perform complex motions that involve multiple independent motion components. For example, while talking, a person continuously changes their expressions, head, and body pose. In this work, we p... | [] | Train |
24,248 | 16 | Title: COLA: A Benchmark for Compositional Text-to-image Retrieval
Abstract: Compositional reasoning is a hallmark of human visual intelligence; yet despite the size of large vision-language models, they struggle to represent simple compositions by combining objects with their attributes. To measure this lack of compos... | [
24259,
42583,
3018,
38135,
26362,
31323
] | Train |
24,249 | 24 | Title: Dyadic Reinforcement Learning
Abstract: Mobile health aims to enhance health outcomes by delivering interventions to individuals as they go about their daily life. The involvement of care partners and social support networks often proves crucial in helping individuals managing burdensome medical conditions. This... | [
5473
] | Test |
24,250 | 24 | Title: Transferability of Winning Lottery Tickets in Neural Network Differential Equation Solvers
Abstract: Recent work has shown that renormalisation group theory is a useful framework with which to describe the process of pruning neural networks via iterative magnitude pruning. This report formally describes the link... | [
13891
] | Test |
24,251 | 27 | Title: ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization
Abstract: Accurately and reliably positioning pedestrians in satellite-denied conditions remains a significant challenge. Pedestrian dead reckoning (PDR) is commonly employed to estimate pedestrian location using low-cost ... | [] | Train |
24,252 | 10 | Title: Interpretable Neural-Symbolic Concept Reasoning
Abstract: Deep learning methods are highly accurate, yet their opaque decision process prevents them from earning full human trust. Concept-based models aim to address this issue by learning tasks based on a set of human-understandable concepts. However, state-of-t... | [
673,
37371,
1462
] | Validation |
24,253 | 28 | Title: Linear Computation Coding: Exponential Search and Reduced-State Algorithms
Abstract: Linear computation coding is concerned with the compression of multidimensional linear functions, i.e. with reducing the computational effort of multiplying an arbitrary vector to an arbitrary, but known, constant matrix. This p... | [] | Test |
24,254 | 24 | Title: Physics-driven machine learning models coupling PyTorch and Firedrake
Abstract: Partial differential equations (PDEs) are central to describing and modelling complex physical systems that arise in many disciplines across science and engineering. However, in many realistic applications PDE modelling provides an i... | [
19395
] | Validation |
24,255 | 5 | Title: Online Job Failure Prediction in an HPC System
Abstract: Modern High Performance Computing (HPC) systems are complex machines, with major impacts on economy and society. Along with their computational capability, their energy consumption is also steadily raising, representing a critical issue given the ongoing e... | [
20806
] | Train |
24,256 | 24 | Title: Imitating Complex Trajectories: Bridging Low-Level Stability and High-Level Behavior
Abstract: We propose a theoretical framework for studying the imitation of stochastic, non-Markovian, potentially multi-modal (i.e."complex") expert demonstrations in nonlinear dynamical systems. Our framework invokes low-level ... | [] | Validation |
24,257 | 16 | Title: SLiMe: Segment Like Me
Abstract: Significant strides have been made using large vision-language models, like Stable Diffusion (SD), for a variety of downstream tasks, including image editing, image correspondence, and 3D shape generation. Inspired by these advancements, we explore leveraging these extensive visi... | [
39584,
15142,
42599,
36168,
38901
] | Validation |
24,258 | 24 | Title: Non-parametric Probabilistic Time Series Forecasting via Innovations Representation
Abstract: Probabilistic time series forecasting predicts the conditional probability distributions of the time series at a future time given past realizations. Such techniques are critical in risk-based decision-making and planni... | [] | Train |
24,259 | 30 | Title: An Examination of the Compositionality of Large Generative Vision-Language Models
Abstract: With the success of Large Language Models (LLMs), a surge of Generative Vision-Language Models (GVLMs) have been constructed via multimodal instruction tuning. The tuning recipe substantially deviates from the common cont... | [
10624,
38208,
32034,
37987,
13700,
33220,
8903,
3178,
38858,
41104,
15413,
24248,
43641,
37053
] | Train |
24,260 | 27 | Title: MAPS2: Multi-Robot Anytime Motion Planning under Signal Temporal Logic Specifications
Abstract: This article presents MAPS$^2$ : a distributed algorithm that allows multi-robot systems to deliver coupled tasks expressed as Signal Temporal Logic (STL) constraints. Classical control theoretical tools addressing ST... | [] | Train |
24,261 | 24 | Title: Meta-learning generalizable dynamics from trajectories
Abstract: We present the interpretable meta neural ordinary differential equation (iMODE) method to rapidly learn generalizable (i.e., not parameter-specific) dynamics from trajectories of multiple dynamical systems that vary in their physical parameters. Th... | [] | Validation |
24,262 | 27 | Title: Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation
Abstract: Developing and testing novel control and motion planning algorithms for aerial vehicles can be a challenging task, with the robotics community relying more than ever on 3D simulation technologies to evaluate the performan... | [
10199
] | Test |
24,263 | 16 | Title: Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring
Abstract: Recent advances in segmentation-free keyword spotting treat this problem w.r.t. an object detection paradigm and borrow from state-of-the-art detection systems to simultaneously propose a word bounding... | [] | Test |
24,264 | 16 | Title: Student Classroom Behavior Detection based on Improved YOLOv7
Abstract: Accurately detecting student behavior in classroom videos can aid in analyzing their classroom performance and improving teaching effectiveness. However, the current accuracy rate in behavior detection is low. To address this challenge, we p... | [
44945
] | Train |
24,265 | 16 | Title: Generative Diffusion Prior for Unified Image Restoration and Enhancement
Abstract: Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training, which restricts their adaptation to complex real a... | [
500,
10492
] | Train |
24,266 | 27 | Title: Non-Trivial Query Sampling For Efficient Learning To Plan
Abstract: In recent years, learning-based approaches have revolutionized motion planning. The data generation process for these methods involves caching a large number of high quality paths for different queries (start, goal pairs) in various environments... | [] | Validation |
24,267 | 16 | Title: DynamicStereo: Consistent Dynamic Depth from Stereo Videos
Abstract: We consider the problem of reconstructing a dynamic scene observed from a stereo camera. Most existing meth-ods for depth from stereo treat different stereo frames in-dependently, leading to temporally inconsistent depth pre-dictions. Temporal ... | [
4444
] | Train |
24,268 | 10 | Title: Large-scale Ridesharing DARP Instances Based on Real Travel Demand
Abstract: Accurately predicting the real-life performance of algorithms solving the Dial-a-Ride Problem (DARP) in the context of Mobility on Demand (MoD) systems with ridesharing requires evaluating them on representative instances. However, the ... | [] | Train |
24,269 | 8 | Title: Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems
Abstract: WiGig networks and 60 GHz frequency communications have a lot of potential for commercial and personal use. They can offer extremely high transmission rates but at the cost of low range and penetration. Du... | [] | Train |
24,270 | 24 | Title: Semantic Strengthening of Neuro-Symbolic Learning
Abstract: Numerous neuro-symbolic approaches have recently been proposed typically with the goal of adding symbolic knowledge to the output layer of a neural network. Ideally, such losses maximize the probability that the neural network's predictions satisfy the ... | [] | Train |
24,271 | 24 | Title: (S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability
Abstract: In this paper, we investigate the impact of stochasticity and large stepsizes on the implicit regularisation of gradient descent (GD) and stochastic gradient descent (SGD) over diagonal linear networks. ... | [
4032,
41249,
44743,
4711
] | Train |
24,272 | 16 | Title: Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods
Abstract: nan | [] | Validation |
24,273 | 27 | Title: Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps
Abstract: Autonomous Ground Vehicles (AGVs) are essential tools for a wide range of applications stemming from their ability to operate in hazardous environments with minimal human operator input. Effective motion plannin... | [
8242
] | Train |
24,274 | 24 | Title: Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
Abstract: Multivariate time series (MTS) data collected from multiple sensors provide the potential for accurate abnormal activity detection in smart healthcare scenarios. However, anomalies exhibit diverse patterns and become unno... | [] | Train |
24,275 | 30 | Title: Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Abstract: Retrieval-augmented language models such as Fusion-in-Decoder are powerful, setting the state of the art on a variety of knowledge-intensive tasks. However, they are also expensive, du... | [
33953,
24997,
425,
42165,
32407
] | Validation |
24,276 | 24 | Title: Graph Positional Encoding via Random Feature Propagation
Abstract: Two main families of node feature augmentation schemes have been explored for enhancing GNNs: random features and spectral positional encoding. Surprisingly, however, there is still no clear understanding of the relation between these two augment... | [] | Validation |
24,277 | 30 | Title: Cross-Domain Evaluation of POS Taggers: From Wall Street Journal to Fandom Wiki
Abstract: The Wall Street Journal section of the Penn Treebank has been the de-facto standard for evaluating POS taggers for a long time, and accuracies over 97\% have been reported. However, less is known about out-of-domain tagger ... | [] | Train |
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