node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
34,578 | 16 | Title: DPE: Disentanglement of Pose and Expression for General Video Portrait Editing
Abstract: One-shot video-driven talking face generation aims at producing a synthetic talking video by transferring the facial motion from a video to an arbitrary portrait image. Head pose and facial expression are always entangled in... | [
39340,
1540,
25287
] | Test |
34,579 | 16 | Title: Synthesizing Diverse Human Motions in 3D Indoor Scenes
Abstract: We present a novel method for populating 3D indoor scenes with virtual humans that can navigate in the environment and interact with objects in a realistic manner. Existing approaches rely on training sequences that contain captured human motions a... | [
43203,
38181,
22791,
8554,
37779,
40788,
759,
5784,
4990
] | Train |
34,580 | 5 | Title: Logical Synchrony and the bittide Mechanism
Abstract: We introduce logical synchrony, a framework that allows distributed computing to be coordinated as tightly as in synchronous systems without the distribution of a global clock or any reference to universal time. We develop a model of events called a logical s... | [] | Train |
34,581 | 16 | Title: Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Abstract: Video self-supervised learning (VSSL) has made significant progress in recent years. However, the exact behavior and dynamics of these models under different forms of distribution shift are not yet known. In this... | [] | Train |
34,582 | 8 | Title: The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things
Abstract: nan | [
18672,
43362
] | Train |
34,583 | 16 | Title: Towards High Performance One-Stage Human Pose Estimation
Abstract: Making top-down human pose estimation method present both good performance and high efficiency is appealing. Mask RCNN can largely improve the efficiency by conducting person detection and pose estimation in a single framework, as the features pr... | [] | Train |
34,584 | 16 | Title: Depth- and Semantics-aware Multi-modal Domain Translation: Generating 3D Panoramic Color Images from LiDAR Point Clouds
Abstract: This work presents a new depth- and semantics-aware conditional generative model, named TITAN-Next, for cross-domain image-to-image translation in a multi-modal setup between LiDAR an... | [] | Train |
34,585 | 30 | Title: Measuring Progress in Fine-grained Vision-and-Language Understanding
Abstract: While pretraining on large-scale image–text data from the Web has facilitated rapid progress on many vision-and-language (V&L) tasks, recent work has demonstrated that pretrained models lack “fine-grained” understanding, such as the a... | [
2120,
3324,
10624,
25695
] | Train |
34,586 | 28 | Title: Mixed Max-and-Min Fractional Programming for Wireless Networks
Abstract: Fractional programming (FP) plays a crucial role in wireless network design because many relevant problems involve maximizing or minimizing ratio terms. Notice that the maximization case and the minimization case of FP cannot be converted t... | [
41607
] | Train |
34,587 | 4 | Title: Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Abstract: Logic locking has been proposed to safeguard intellectual property (IP) during chip fabrication. Logic locking techniques protect hardware IP by making a subset of combinational modules in a design dependent on a secre... | [] | Validation |
34,588 | 23 | Title: SmartChoices: Augmenting Software with Learned Implementations
Abstract: We are living in a golden age of machine learning. Powerful models are being trained to perform many tasks far better than is possible using traditional software engineering approaches alone. However, developing and deploying those models i... | [] | Validation |
34,589 | 16 | Title: SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios
Abstract: Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming. To overcome this challenge, we propose... | [] | Train |
34,590 | 16 | Title: Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Abstract: An effective framework for learning 3D representations for perception tasks is distilling rich self-supervised image features via contrastive learning. However, image-to-point representation learning for autonomous d... | [
30874,
4443
] | Train |
34,591 | 24 | Title: Participatory Systems for Personalized Prediction
Abstract: Machine learning models are often personalized based on information that is protected, sensitive, self-reported, or costly to acquire. These models use information about people, but do not facilitate nor inform their \emph{consent}. Individuals cannot o... | [] | Train |
34,592 | 20 | Title: Efficient exact enumeration of single-source geodesics on a non-convex polyhedron
Abstract: In this paper, we consider enumeration of geodesics on a polyhedron, where a geodesic means locally-shortest path between two points. Particularly, we consider the following preprocessing problem: given a point $s$ on a p... | [] | Train |
34,593 | 28 | Title: Orbit recovery for band-limited functions
Abstract: We study the third moment for functions on arbitrary compact Lie groups. We use techniques of representation theory to generalize the notion of band-limited functions in classical Fourier theory to functions on the compact groups $SU(n), SO(n), Sp(n)$. We then ... | [] | Validation |
34,594 | 24 | Title: Graph Embedding Augmented Skill Rating System
Abstract: This article presents a framework for learning player embeddings in competitive games and events. Players and their win–loss relationships are modeled as a skill gap graph, which is an undirected weighted graph. The player embeddings are learned from the gr... | [] | Train |
34,595 | 30 | Title: Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator
Abstract: The incorporation of biasing words obtained through contextual knowledge is of paramount importance in automatic speech recognition (ASR) applications. This paper proposes an innovative method for achieving end-to-end ... | [] | Test |
34,596 | 30 | Title: Grokking of Hierarchical Structure in Vanilla Transformers
Abstract: For humans, language production and comprehension is sensitive to the hierarchical structure of sentences. In natural language processing, past work has questioned how effectively neural sequence models like transformers capture this hierarchic... | [] | Train |
34,597 | 16 | Title: Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching
Abstract: 3D dynamic point cloud (DPC) compression relies on mining its temporal context, which faces significant challenges due to DPC's sparsity and non-uniform structure. Existing methods are limited in capturing sufficient t... | [] | Train |
34,598 | 4 | Title: Improving the Security of Smartwatch Payment with Deep Learning
Abstract: Making contactless payments using a smartwatch is increasingly popular, but this payment medium lacks traditional biometric security measures such as facial or fingerprint recognition. In 2022, Sturgess et al. proposed WatchAuth, a system ... | [] | Train |
34,599 | 28 | Title: Low-Latency SCL Bit-Flipping Decoding of Polar Codes
Abstract: Bit flipping can be used as a postprocessing technique to further improve the performance for successive cancellation list (SCL) decoding of polar codes. However, the number of bit-flipping trials could increase the decoding latency significantly, wh... | [] | Train |
34,600 | 37 | Title: The Fine-Grained Complexity of Boolean Conjunctive Queries and Sum-Product Problems
Abstract: We study the fine-grained complexity of evaluating Boolean Conjunctive Queries and their generalization to sum-of-product problems over an arbitrary semiring. For these problems, we present a general semiring-oblivious ... | [
38651
] | Validation |
34,601 | 34 | Title: Tight Algorithmic Applications of Clique-Width Generalizations
Abstract: In this work, we study two natural generalizations of clique-width introduced by Martin F\"urer. Multi-clique-width (mcw) allows every vertex to hold multiple labels [ITCS 2017], while for fusion-width (fw) we have a possibility to merge al... | [
10153,
34454
] | Train |
34,602 | 4 | Title: Attacks Against Security Context in 5G Network
Abstract: The security context used in 5G authentication is generated during the Authentication and Key Agreement (AKA) procedure and stored in both the user equipment (UE) and the network sides for the subsequent fast registration procedure. Given its importance, i... | [] | Train |
34,603 | 13 | Title: Unsupervised Learning in Complex Systems
Abstract: In this thesis, we explore the use of complex systems to study learning and adaptation in natural and artificial systems. The goal is to develop autonomous systems that can learn without supervision, develop on their own, and become increasingly complex over tim... | [] | Train |
34,604 | 34 | Title: Predictive Flows for Faster Ford-Fulkerson
Abstract: Recent work has shown that leveraging learned predictions can improve the running time of algorithms for bipartite matching and similar combinatorial problems. In this work, we build on this idea to improve the performance of the widely used Ford-Fulkerson alg... | [
43872,
40467
] | Train |
34,605 | 24 | Title: CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery
Abstract: In the expansive realm of drug discovery, with approximately 15,000 known drugs and only around 4,200 approved, the combinatorial nature of the chemical space presents a formidable challenge. While Artifi... | [] | Train |
34,606 | 28 | Title: t-PIR Schemes with Flexible Parameters via Star Products of Berman Codes
Abstract: We present a new class of private information retrieval (PIR) schemes that keep the identity of the file requested private in the presence of at most t colluding servers, based on the recent framework developed for such t-PIR sche... | [] | Test |
34,607 | 16 | Title: Bayesian deep learning for affordance segmentation in images
Abstract: Affordances are a fundamental concept in robotics since they relate available actions for an agent depending on its sensory-motor capabilities and the environment. We present a novel Bayesian deep network to detect affordances in images, at t... | [
20266
] | Train |
34,608 | 38 | Title: Research Explosion: More Effort to Climb onto Shoulders of the Giant
Abstract: Fast-growing scientific publications present challenges to the scientific community. In this paper, we describe their implications to researchers. As references form explicit foundations for researchers to conduct a study, we investig... | [] | Train |
34,609 | 24 | Title: Contrastive Disentangled Learning on Graph for Node Classification
Abstract: Contrastive learning methods have attracted considerable attention due to their remarkable success in analyzing graph-structured data. Inspired by the success of contrastive learning, we propose a novel framework for contrastive disenta... | [] | Test |
34,610 | 16 | Title: Self-Supervised Learning based Depth Estimation from Monocular Images
Abstract: Depth Estimation has wide reaching applications in the field of Computer vision such as target tracking, augmented reality, and self-driving cars. The goal of Monocular Depth Estimation is to predict the depth map, given a 2D monocul... | [] | Validation |
34,611 | 24 | Title: Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Abstract: The execution of large deep neural networks (DNN) at mobile edge devices requires considerable consumption of critical resources, such as energy, while imposing demands on hardware capabilities. In approaches b... | [] | Train |
34,612 | 16 | Title: A Tiny Machine Learning Model for Point Cloud Object Classification
Abstract: The design of a tiny machine learning model, which can be deployed in mobile and edge devices, for point cloud object classification is investigated in this work. To achieve this objective, we replace the multi-scale representation of ... | [
33434,
13716
] | Train |
34,613 | 24 | Title: Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications
Abstract: This paper focuses on a multi-agent zeroth-order online optimization problem in a federated learning setting for target tracking. The agents only sense their current distances to their targets and ... | [] | Validation |
34,614 | 23 | Title: Method-Level Bug Severity Prediction using Source Code Metrics and LLMs
Abstract: In the past couple of decades, significant research efforts are devoted to the prediction of software bugs. However, most existing work in this domain treats all bugs the same, which is not the case in practice. It is important for... | [] | Validation |
34,615 | 6 | Title: Using Logs Data to Identify When Software Engineers Experience Flow or Focused Work
Abstract: Beyond self-report data, we lack reliable and non-intrusive methods for identifying flow. However, taking a step back and acknowledging that flow occurs during periods of focus gives us the opportunity to make progress ... | [] | Validation |
34,616 | 33 | Title: Black-box Testing Liveness Properties of Partially Observable Stochastic Systems
Abstract: We study black-box testing for stochastic systems and arbitrary $\omega$-regular specifications, explicitly including liveness properties. We are given a finite-state probabilistic system that we can only execute from the ... | [] | Train |
34,617 | 5 | Title: Implementation of High Availability Message ISO 8583 using F5 Active-Passive Failover Method
Abstract: In this research, the system was designed to solve problems related to High Availability on FDS (Fraud Detection System) servers that cannot be loaded balanced using the Round Robin method, resulting in changes... | [] | Train |
34,618 | 24 | Title: ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
Abstract: Modern climate projections lack adequate spatial and temporal resolution due to computational constraints. A consequence is inaccurate and imprecise predictions of critical proce... | [
9737,
35491,
1116
] | Train |
34,619 | 16 | Title: TALL: Thumbnail Layout for Deepfake Video Detection
Abstract: The growing threats of deepfakes to society and cybersecurity have raised enormous public concerns, and increasing efforts have been devoted to this critical topic of deepfake video detection. Existing video methods achieve good performance but are co... | [
1540
] | Test |
34,620 | 3 | Title: The Role of Digital Agriculture in Transforming Rural Areas into Smart Villages
Abstract: From the perspective of any nation, rural areas generally present a comparable set of problems, such as a lack of proper health care, education, living conditions, wages, and market opportunities. Some nations have created ... | [] | Train |
34,621 | 4 | Title: Facial Misrecognition Systems: Simple Weight Manipulations Force DNNs to Err Only on Specific Persons
Abstract: In this paper we describe how to plant novel types of backdoors in any facial recognition model based on the popular architecture of deep Siamese neural networks, by mathematically changing a small fra... | [] | Train |
34,622 | 24 | Title: GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
Abstract: Encoder-decoder deep neural networks have been increasingly studied for multi-horizon time series forecasting, especially in real-world applications. However, to forecast accurately, these sophisticated models typically rely ... | [] | Train |
34,623 | 27 | Title: ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation
Abstract: Planning a path for a mobile robot typically requires building a map (e.g., an occupancy grid) of the environment as the robot moves around. While navigating in an unknown environment, the map built by the robot online may... | [
608
] | Train |
34,624 | 24 | Title: Generating Behaviorally Diverse Policies with Latent Diffusion Models
Abstract: Recent progress in Quality Diversity Reinforcement Learning (QD-RL) has enabled learning a collection of behaviorally diverse, high performing policies. However, these methods typically involve storing thousands of policies, which re... | [
14867,
3309,
33006
] | Train |
34,625 | 16 | Title: Motion-Bias-Free Feature-Based SLAM
Abstract: For SLAM to be safely deployed in unstructured real world environments, it must possess several key properties that are not encompassed by conventional benchmarks. In this paper we show that SLAM commutativity, that is, consistency in trajectory estimates on forward ... | [] | Validation |
34,626 | 8 | Title: Resource sharing in wireless networks with co-location
Abstract: With more and more demand from devices to use wireless communication networks, there has been an increased interest in resource sharing among operators, to give a better link quality. However, in the analysis of the benefits of resource sharing amo... | [] | Test |
34,627 | 16 | Title: Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation
Abstract: We introduce caption-guided face recognition (CGFR) as a new framework to improve the performance of commercial-off-the-shelf (COTS) face recognition (FR) systems. In contrast to combining soft biomet... | [] | Train |
34,628 | 16 | Title: WSD: Wild Selfie Dataset for Face Recognition in Selfie Images
Abstract: With the rise of handy smart phones in the recent years, the trend of capturing selfie images is observed. Hence efficient approaches are required to be developed for recognising faces in selfie images. Due to the short distance between the... | [] | Validation |
34,629 | 30 | Title: A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection
Abstract: The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics. Since there is sufficient corpus gathered from the same domain for model training, ... | [] | Train |
34,630 | 24 | Title: Generative Flow Networks: a Markov Chain Perspective
Abstract: While Markov chain Monte Carlo methods (MCMC) provide a general framework to sample from a probability distribution defined up to normalization, they often suffer from slow convergence to the target distribution when the latter is highly multi-modal.... | [
24784,
21081,
17762,
15438
] | Train |
34,631 | 10 | Title: On Modifying a Neural Network's Perception
Abstract: Artificial neural networks have proven to be extremely useful models that have allowed for multiple recent breakthroughs in the field of Artificial Intelligence and many others. However, they are typically regarded as black boxes, given how difficult it is for... | [] | Test |
34,632 | 36 | Title: Portfolio-Based Incentive Mechanism Design for Cross-Device Federated Learning
Abstract: In recent years, there has been a significant increase in attention towards designing incentive mechanisms for federated learning (FL). Tremendous existing studies attempt to design the solutions using various approaches (e.... | [] | Train |
34,633 | 16 | Title: Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding
Abstract: Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for contrastive learning on facial behavior da... | [] | Test |
34,634 | 25 | Title: Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions
Abstract: The paper introduces Diff-Filter, a multichannel speech enhancement approach based on the diffusion probabilistic model, for improving speaker verification performance under noi... | [] | Train |
34,635 | 23 | Title: Which is a better programming assistant? A comparative study between chatgpt and stack overflow
Abstract: Programmers often seek help from Q\&A websites to resolve issues they encounter during programming. Stack Overflow has been a widely used platform for this purpose for over a decade. Recently, revolutionary ... | [
21313
] | Validation |
34,636 | 10 | Title: Characterization of AGM Belief Contraction in Terms of Conditionals
Abstract: We provide a semantic characterization of AGM belief contraction based on frames consisting of a Kripke belief relation and a Stalnaker-Lewis selection function. The central idea is as follows. Let K be the initial belief set and K-A b... | [] | Train |
34,637 | 10 | Title: WebArena: A Realistic Web Environment for Building Autonomous Agents
Abstract: With generative AI advances, the exciting potential for autonomous agents to manage daily tasks via natural language commands has emerged. However, cur rent agents are primarily created and tested in simplified synthetic environments,... | [
40610,
33477,
28878,
37742,
36563,
2549,
1401,
12411,
41053
] | Train |
34,638 | 23 | Title: I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages
Abstract: Complex software systems have a network of dependencies. Developers often configure package managers (e.g., npm) to automatically update dependencies with each publication of new releases containin... | [] | Train |
34,639 | 22 | Title: CHERI Performance Enhancement for a Bytecode Interpreter
Abstract: During our port of the MicroPython bytecode interpreter to the CHERI-based Arm Morello platform, we encountered a number of serious performance degradations. This paper explores several of these performance issues in detail, in each case we chara... | [] | Test |
34,640 | 4 | Title: Open Image Content Disarm And Reconstruction
Abstract: With the advance in malware technology, attackers create new ways to hide their malicious code from antivirus services. One way to obfuscate an attack is to use common files as cover to hide the malicious scripts, so the malware will look like a legitimate f... | [
27912
] | Train |
34,641 | 34 | Title: Resource Augmentation Analysis of the Greedy Algorithm for the Online Transportation Problem
Abstract: We consider the online transportation problem set in a metric space containing parking garages of various capacities. Cars arrive over time, and must be assigned to an unfull parking garage upon their arrival. ... | [] | Validation |
34,642 | 16 | Title: EMEF: Ensemble Multi-Exposure Image Fusion
Abstract: Although remarkable progress has been made in recent years, current multi-exposure image fusion (MEF) research is still bounded by the lack of real ground truth, objective evaluation function, and robust fusion strategy. In this paper, we study the MEF problem... | [] | Train |
34,643 | 24 | Title: A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints
Abstract: We study online learning in episodic constrained Markov decision processes (CMDPs), where the goal of the learner is to collect as much reward as possible over the episodes, while guaranteeing that some long-term constraint... | [] | Train |
34,644 | 27 | Title: FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity
Abstract: The Robot Operating System (ROS2) is the most widely used software platform for building robotics applications. FogROS2 extends ROS2 to allow robots to access cloud computing on demand. However, ROS2 and FogROS2 assume that all ... | [] | Validation |
34,645 | 16 | Title: Instance Segmentation of Dislocations in TEM Images
Abstract: Quantitative Transmission Electron Microscopy (TEM) during in-situ straining experiment is able to reveal the motion of dislocations - linear defects in the crystal lattice of metals. In the domain of materials science, the knowledge about the locatio... | [] | Test |
34,646 | 2 | Title: Combining swap structures: the case of Paradefinite Ivlev-like modal logics based on FDE
Abstract: The aim of this paper is to combine several Ivev-like modal systems characterized by 4-valued non-deterministic matrices (Nmatrices) with IDM4, a 4-valued expansion of Belnap-Dunn's logic FDE with an implication in... | [] | Validation |
34,647 | 24 | Title: Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Abstract: Graph Neural Networks have emerged as an effective machine learning tool for multi-disciplinary tasks such as pharmaceutical molecule classification and chemical reaction prediction, because they can model non-euclid... | [] | Train |
34,648 | 10 | Title: Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings
Abstract: Multi-Criteria Decision Analysis (MCDA) is extensively used across diverse industries to assess and rank alternatives. Among numerous MCDA methods developed to solve real-world ranking problems, TOPSIS ... | [] | Train |
34,649 | 6 | Title: Dataset for predicting cybersickness from a virtual navigation task
Abstract: This work presents a dataset collected to predict cybersickness in virtual reality environments. The data was collected from navigation tasks in a virtual environment designed to induce cybersickness. The dataset consists of many data ... | [] | Train |
34,650 | 24 | Title: Goal-Conditioned Supervised Learning with Sub-Goal Prediction
Abstract: Recently, a simple yet effective algorithm -- goal-conditioned supervised-learning (GCSL) -- was proposed to tackle goal-conditioned reinforcement-learning. GCSL is based on the principle of hindsight learning: by observing states visited in... | [] | Test |
34,651 | 24 | Title: Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare
Abstract: Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries. However, with the development of data science, machine lea... | [
14281
] | Train |
34,652 | 28 | Title: Multi-scale information content measurement method based on Shannon information
Abstract: In this paper, we present a new multi-scale information content calculation method based on Shannon information (and Shannon entropy). The original method described by Claude E. Shannon and based on the logarithm of the pro... | [] | Train |
34,653 | 16 | Title: Stroke-based Rendering: From Heuristics to Deep Learning
Abstract: In the last few years, artistic image-making with deep learning models has gained a considerable amount of traction. A large number of these models operate directly in the pixel space and generate raster images. This is however not how most human... | [
11678
] | Train |
34,654 | 8 | Title: Multi-MEC Cooperation Based VR Video Transmission and Cache using K-Shortest Paths Optimization
Abstract: In recent network architectures, multi-MEC cooperative caching has been introduced to reduce the transmission latency of VR videos, in which MEC servers' computing and caching capability are utilized to opti... | [] | Train |
34,655 | 6 | Title: Applied design thinking in urban air mobility: creating the airtaxi cabin design of the future from a user perspective
Abstract: In the course of developing digital and future aviation cabin concepts at the German Aerospace Center, the exploration of user-centered and acceptance-enhancing methods plays a central... | [] | Train |
34,656 | 16 | Title: FashionTex: Controllable Virtual Try-on with Text and Texture
Abstract: Virtual try-on attracts increasing research attention as a promising way for enhancing the user experience for online cloth shopping. Though existing methods can generate impressive results, users need to provide a well-designed reference im... | [] | Train |
34,657 | 15 | Title: Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining
Abstract: Fault-aware retraining has emerged as a prominent technique for mitigating permanent faults in Deep Neural Network (DNN) hardware accelerators. However, retraining leads to huge overheads, specifically when used for fine-tuning la... | [] | Train |
34,658 | 24 | Title: Impossibility of Characterizing Distribution Learning - a simple solution to a long-standing problem
Abstract: We consider the long-standing question of finding a parameter of a class of probability distributions that characterizes its PAC learnability. We provide a rather surprising answer - no such parameter e... | [] | Test |
34,659 | 30 | Title: Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation
Abstract: Despite significant research effort in the development of automatic dialogue evaluation metrics, little thought is given to evaluating dialogues other than in English. At the same time, ensuring metrics are invaria... | [
36097,
31493,
37,
13510,
8938,
402,
39642,
43930
] | Test |
34,660 | 16 | Title: SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking
Abstract: Deformable tracking and real-time estimation of 3D tissue motion is essential to enable automation and image guidance applications in robotically assisted surgery. Our model, Sparse Efficient Neural Depth and Deformation (SENDD), ... | [] | Train |
34,661 | 23 | Title: 18 million links in commit messages: purpose, evolution, and decay
Abstract: nan | [] | Validation |
34,662 | 8 | Title: Impact of Mobility on Power Consumption in RPL
Abstract: The main theme of this paper is to implement the mobility model in Cooja simulator and to investigate the impact of the mobility on the performance of Routing Protocol over Low power Lossy networks (RPL) in the IoT environment. In the real world, mobility ... | [] | Train |
34,663 | 24 | Title: Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Abstract: Proper evaluations are crucial for better understanding, troubleshooting, interpreting model behaviors and further improving model performance. While using scalar-based error metrics provides a fast way to overview model ... | [] | Train |
34,664 | 27 | Title: Human Emergency Detection during Autonomous Hospital Transports
Abstract: Human transports in hospitals are labor-intensive and primarily performed in beds to save time. This transfer method does not promote the mobility or autonomy of the patient. To relieve the caregivers from this time-consuming task, a mobil... | [] | Test |
34,665 | 16 | Title: vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images
Abstract: This paper introduces vox2vec - a contrastive method for self-supervised learning (SSL) of voxel-level representations. vox2vec representations are modeled by a Feature Pyramid Network (FPN): ... | [] | Train |
34,666 | 24 | Title: cGAN-Based High Dimensional IMU Sensor Data Generation for Therapeutic Activities
Abstract: Human activity recognition is a core technology for applications such as rehabilitation, ambient health monitoring, and human-computer interactions. Wearable devices, particularly IMU sensors, can help us collect rich fea... | [] | Train |
34,667 | 30 | Title: Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning
Abstract: Language models still struggle on moral reasoning, despite their impressive performance in many other tasks. In particular, the Moral Scenarios task in MMLU (Multi-task Language Understanding) is among the worst performing ... | [
40610,
18767
] | Validation |
34,668 | 27 | Title: Neural Lyapunov and Optimal Control
Abstract: Optimal control (OC) is an effective approach to controlling complex dynamical systems. However, typical approaches to parameterising and learning controllers in optimal control have been ad-hoc, collecting data and fitting it to neural networks. This two-step approa... | [] | Test |
34,669 | 16 | Title: UniBrain: Universal Brain MRI Diagnosis with Hierarchical Knowledge-enhanced Pre-training
Abstract: Magnetic resonance imaging~(MRI) have played a crucial role in brain disease diagnosis, with which a range of computer-aided artificial intelligence methods have been proposed. However, the early explorations usua... | [
512
] | Test |
34,670 | 30 | Title: Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages
Abstract: This paper proposes a framework to address the issue of data scarcity in Document-Grounded Dialogue Systems(DGDS). Our model leverages high-resource languages to enhance the capability of dialogue generation ... | [
19432
] | Train |
34,671 | 4 | Title: The Case for the Anonymization of Offloaded Computation
Abstract: Computation offloading (often to external computing resources over a network) has become a necessity for modern applications. At the same time, the proliferation of machine learning techniques has empowered malicious actors to use such techniques ... | [] | Test |
34,672 | 24 | Title: ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
Abstract: Social ambiance describes the context in which social interactions happen, and can be measured using speech audio by counting the number of concurrent speakers. This measurement has enabled various mental h... | [] | Train |
34,673 | 6 | Title: Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Abstract: Automated Machine Learning (AutoML) technology can lower barriers in data work yet still requires human intervention to be functional. However, the complex and collaborative process resulting from humans and mach... | [] | Train |
34,674 | 24 | Title: MoVie: Visual Model-Based Policy Adaptation for View Generalization
Abstract: Visual Reinforcement Learning (RL) agents trained on limited views face significant challenges in generalizing their learned abilities to unseen views. This inherent difficulty is known as the problem of $\textit{view generalization}$.... | [] | Train |
34,675 | 30 | Title: Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
Abstract: Large language models are powerful text processors and reasoners, but are still subject to limitations including outdated knowledge and hallucinations, which necessitates connecting them to the world. Retrie... | [
7936,
33220,
29419,
28878,
27669,
28886
] | Train |
34,676 | 4 | Title: A Blockchain-based two Factor Honeytoken Authentication System
Abstract: This paper extends and advances our recently introduced two-factor Honeytoken authentication method by incorporating blockchain technology. This novel approach strengthens the authentication method to prevent many attacks including tamperin... | [] | Validation |
34,677 | 16 | Title: A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos
Abstract: Identifying traffic accidents in driving videos is crucial to ensuring the safety of autonomous driving and driver assistance systems. To address the potential danger caused by the long-t... | [] | Train |
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