node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
35,478 | 16 | Title: ROBUSfT: Robust Real-Time Shape-from-Template, a C++ Library
Abstract: —Tracking the 3D shape of a deforming object using only monocular 2D vision is a challenging problem. This is because one should (i) infer the 3D shape from a 2D image, which is a severely underconstrained problem, and (ii) implement the whol... | [] | Train |
35,479 | 13 | Title: A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks
Abstract: Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems. Current literature has focused primarily on deep neural network (DNN) based metho... | [] | Train |
35,480 | 23 | Title: Developer-Intent Driven Code Comment Generation
Abstract: Existing automatic code comment generators mainly focus on producing a general description of functionality for a given code snippet without considering developer intentions. However, in real-world practice, comments are complicated, which often contain i... | [
6866,
4789
] | Validation |
35,481 | 27 | Title: Heterogeneous Multi-Robot Reinforcement Learning
Abstract: Cooperative multi-robot tasks can benefit from heterogeneity in the robots' physical and behavioral traits. In spite of this, traditional Multi-Agent Reinforcement Learning (MARL) frameworks lack the ability to explicitly accommodate policy heterogeneity... | [
26905,
42018,
29773
] | Test |
35,482 | 24 | Title: What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems
Abstract: Machine learning has made remarkable advancements, but confidently utilising learning-enabled components in safety-critical domains still poses challenges. Among the challenges, it is known that a rigorous, y... | [
28580
] | Test |
35,483 | 16 | Title: Memory-augmented Online Video Anomaly Detection
Abstract: The ability to understand the surrounding scene is of paramount importance for Autonomous Vehicles (AVs). This paper presents a system capable to work in a real time guaranteed response times and online fashion, giving an immediate response to the arise o... | [] | Train |
35,484 | 16 | Title: Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
Abstract: Point cloud registration is a fundamental problem in computer vision that aims to estimate the transformation between corresponding sets of points. Non-rigid registration, in particular, invo... | [] | Train |
35,485 | 23 | Title: Towards Objective-Tailored Genetic Improvement Through Large Language Models
Abstract: While Genetic Improvement (GI) is a useful paradigm to improve functional and nonfunctional aspects of software, existing techniques tended to use the same set of mutation operators for differing objectives, due to the difficu... | [] | Train |
35,486 | 6 | Title: Adoption of AI Technology in the Music Mixing Workflow: An Investigation
Abstract: The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed. This study investigates the current state of AI in the mixing... | [
6182
] | Train |
35,487 | 28 | Title: Simultaneous Transmitting and Reflecting (STAR)-RIS for Harmonious Millimeter Wave Spectrum Sharing
Abstract: The opening of the millimeter wave (mmWave) spectrum bands for 5G communications has motivated the need for novel spectrum sharing solutions at these high frequencies. In fact, reconfigurable intelligent... | [] | Validation |
35,488 | 24 | Title: Max-Margin Token Selection in Attention Mechanism
Abstract: Attention mechanism is a central component of the transformer architecture which led to the phenomenal success of large language models. However, the theoretical principles underlying the attention mechanism are poorly understood, especially its nonconv... | [
40099,
33220,
2697,
33279,
23885,
31347,
16694,
2518,
13564,
3807
] | Test |
35,489 | 39 | Title: The Binary Linearization Complexity of Pseudo-Boolean Functions
Abstract: We consider the problem of linearizing a pseudo-Boolean function $f : \{0,1\}^n \to \mathbb{R}$ by means of $k$ Boolean functions. Such a linearization yields an integer linear programming formulation with only $k$ auxiliary variables. Thi... | [] | Test |
35,490 | 28 | Title: An EEP-based robust beamforming approach for superdirective antenna arrays and experimental validations
Abstract: A superdirective antenna array has the potential to achieve an array gain proportional to the square of the number of antennas, making it of great value for future wireless communications. However, d... | [
9837,
45126
] | Validation |
35,491 | 24 | Title: Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Abstract: Fourier Neural Operators (FNOs) have proven to be an efficient and effective method for resolution-independent operator learning in a broad variety of application areas across scientific machine learning. A key reason for their ... | [
13424,
1993,
34618,
1116
] | Validation |
35,492 | 2 | Title: Two algorithms to decide Quantifier-free Definability in Finite Algebraic Structures
Abstract: This work deals with the definability problem by quantifier-free first-order formulas over a finite algebraic structure. We show the problem to be coNP-complete and present two decision algorithms based on a semantical... | [] | Train |
35,493 | 27 | Title: NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation
Abstract: Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a major goal in robotics. However, many existing robotic platforms are either designed for soci... | [
8360,
38562,
23254
] | Train |
35,494 | 16 | Title: PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery
Abstract: Satellite imagery analysis plays a pivotal role in remote sensing; however, information loss due to cloud cover significantly impedes its application. Although existing d... | [
25298,
41818,
37182
] | Validation |
35,495 | 27 | Title: Toward Grounded Social Reasoning
Abstract: Consider a robot tasked with tidying a desk with a meticulously constructed Lego sports car. A human may recognize that it is not socially appropriate to disassemble the sports car and put it away as part of the"tidying". How can a robot reach that conclusion? Although ... | [
17153,
26562,
8360,
3793,
3219,
41400,
13882,
13564,
33853
] | Test |
35,496 | 16 | Title: Semantic Segmentation using Vision Transformers: A survey
Abstract: Semantic segmentation has a broad range of applications in a variety of domains including land coverage analysis, autonomous driving, and medical image analysis. Convolutional neural networks (CNN) and Vision Transformers (ViTs) provide the arch... | [] | Validation |
35,497 | 16 | Title: UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM
Abstract: We present an uncertainty learning framework for dense neural simultaneous localization and mapping (SLAM). Estimating pixel-wise uncertainties for the depth input of dense SLAM methods allows re-weighing the tracking and mapping losses towards ima... | [
33277
] | Validation |
35,498 | 16 | Title: NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
Abstract: Recent implicit neural representations have shown great results for novel view synthesis. However, existing methods require expensive per-scene optimization from many views hence limiting their application to real-world unbounded urban ... | [
2865,
8925
] | Validation |
35,499 | 16 | Title: Real-World Image Variation by Aligning Diffusion Inversion Chain
Abstract: Recent diffusion model advancements have enabled high-fidelity images to be generated using text prompts. However, a domain gap exists between generated images and real-world images, which poses a challenge in generating high-quality vari... | [
10624,
20960,
10070,
26809,
34074
] | Train |
35,500 | 16 | Title: Ambiguous Medical Image Segmentation Using Diffusion Models
Abstract: Collective insights from a group of experts have always proven to outperform an individual's best diagnostic for clinical tasks. For the task of medical image segmentation, existing research on AI-based alternatives focuses more on developing ... | [
3524,
30227,
4887,
5466,
34047
] | Train |
35,501 | 16 | Title: Deep Age-Invariant Fingerprint Segmentation System
Abstract: Fingerprint-based identification systems achieve higher accuracy when a slap containing multiple fingerprints of a subject is used instead of a single fingerprint. However, segmenting or auto-localizing all fingerprints in a slap image is a challenging... | [] | Train |
35,502 | 30 | Title: Membership Inference Attacks against Language Models via Neighbourhood Comparison
Abstract: Membership Inference attacks (MIAs) aim to predict whether a data sample was present in the training data of a machine learning model or not, and are widely used for assessing the privacy risks of language models. Most ex... | [
11817,
38235,
44603,
25367
] | Validation |
35,503 | 31 | Title: Unbiased Learning to Rank with Biased Continuous Feedback
Abstract: It is a well-known challenge to learn an unbiased ranker with biased feedback. Unbiased learning-to-rank(LTR) algorithms, which are verified to model the relative relevance accurately based on noisy feedback, are appealing candidates and have al... | [
25809,
31050,
758
] | Train |
35,504 | 27 | Title: Fast Convex Visual Foothold Adaptation for Quadrupedal Locomotion
Abstract: This extended abstract provides a short introduction on our recently developed perception-based controller for quadrupedal locomotion. Compared to our previous approach based on Visual Foothold Adaptation (VFA) and Model Predictive Contr... | [
32602
] | Test |
35,505 | 16 | Title: Prototype-based Dataset Comparison
Abstract: Dataset summarisation is a fruitful approach to dataset inspection. However, when applied to a single dataset the discovery of visual concepts is restricted to those most prominent. We argue that a comparative approach can expand upon this paradigm to enable richer fo... | [] | Test |
35,506 | 22 | Title: Live, Rich, and Composable: Qualities for Programming Beyond Static Text
Abstract: Efforts to push programming beyond static textual code have sought to imbue programming with multiple distinct qualities. One long-acknowledged quality is liveness: providing programmers with in-depth feedback about a program's dy... | [] | Train |
35,507 | 24 | Title: Towards Fair Graph Neural Networks via Graph Counterfactual
Abstract: Graph neural networks have shown great ability in representation (GNNs) learning on graphs, facilitating various tasks. Despite their great performance in modeling graphs, recent works show that GNNs tend to inherit and amplify the bias from t... | [
13561,
15154,
44701
] | Train |
35,508 | 16 | Title: AutoAD: Movie Description in Context
Abstract: The objective of this paper is an automatic Audio Description (AD) model that ingests movies and outputs AD in text form. Generating high-quality movie AD is challenging due to the dependency of the descriptions on context, and the limited amount of training data av... | [
37445
] | Train |
35,509 | 27 | Title: MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks
Abstract: Letting robots emulate human behavior has always posed a challenge, particularly in scenarios involving multiple robots. In this paper, we presented a framework aimed at achieving multi-agent reinfor... | [] | Test |
35,510 | 30 | Title: Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems
Abstract: End-to-end (e2e) systems have recently gained wide popularity in automatic speech recognition. However, these systems do generally not provide well-calibrated word-level confidences. In this paper, we propose Hystoc, a simple metho... | [] | Train |
35,511 | 37 | Title: Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis
Abstract: Querying cohesive subgraphs on temporal graphs (e.g., social network, finance network, etc.) with various conditions has attracted intensive research interests recently. In this paper, we study a novel Temporal $(k,\ma... | [] | Train |
35,512 | 16 | Title: Panoptic One-Click Segmentation: Applied to Agricultural Data
Abstract: In weed control, precision agriculture can help to greatly reduce the use of herbicides, resulting in both economical and ecological benefits. A key element is the ability to locate and segment all the plants from image data. Modern instance... | [
6622
] | Train |
35,513 | 30 | Title: Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models
Abstract: Cutting-edge image generation has been praised for producing high-quality images, suggesting a ubiquitous future in a variety of applications. However, initial studies have pointed to the potential for har... | [
30261,
5725
] | Train |
35,514 | 8 | Title: PoPeC: PAoI-Centric Task Offloading with Priority over Unreliable Channels
Abstract: Freshness-aware computation offloading has garnered great attention recently in the edge computing arena, with the aim of promptly obtaining up-to-date information and minimizing the transmission of outdated data. However, most ... | [] | Train |
35,515 | 16 | Title: An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and Mapping
Abstract: Compared to regular cameras, Dynamic Vision Sensors or Event Cameras can output compact visual data based on a change in the intensity in each pixel location asynchronously. In this paper, we study the application of curre... | [] | Validation |
35,516 | 24 | Title: Towards Inference Efficient Deep Ensemble Learning
Abstract: Ensemble methods can deliver surprising performance gains but also bring significantly higher computational costs, e.g., can be up to 2048X in large-scale ensemble tasks. However, we found that the majority of computations in ensemble methods are redun... | [] | Train |
35,517 | 16 | Title: Weakly-supervised positional contrastive learning: application to cirrhosis classification
Abstract: Large medical imaging datasets can be cheaply and quickly annotated with low-confidence, weak labels (e.g., radiological scores). Access to high-confidence labels, such as histology-based diagnoses, is rare and c... | [
32527
] | Train |
35,518 | 31 | Title: Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection
Abstract: Accurate Named Entity Recognition (NER) is crucial for various information retrieval tasks in industry. However, despite significant progress in traditional NER methods, the extraction of Complex Named Entities ... | [] | Train |
35,519 | 24 | Title: Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT
Abstract: Federated learning (FL) enables multiple clients to train models collaboratively without sharing local data, which has achieved promising results in different areas, including the Internet of ... | [
40982
] | Train |
35,520 | 27 | Title: L3MVN: Leveraging Large Language Models for Visual Target Navigation
Abstract: Visual target navigation in unknown environments is a crucial problem in robotics. Despite extensive investigation of classical and learning-based approaches in the past, robots lack common-sense knowledge about household objects and ... | [
39368
] | Train |
35,521 | 24 | Title: Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices
Abstract: Deep learning (DL) is characterised by its dynamic nature, with new deep neural network (DNN) architectures and approaches emerging every few years, driving the field's advancement. At the same time, the ever-incre... | [] | Train |
35,522 | 16 | Title: Temporally Consistent Online Depth Estimation Using Point-Based Fusion
Abstract: Depth estimation is an important step in many computer vision problems such as 3D reconstruction, novel view synthesis, and computational photography. Most existing work focuses on depth estimation from single frames. When applied t... | [] | Validation |
35,523 | 4 | Title: Security and Privacy for Low Power IoT Devices on 5G and Beyond Networks: Challenges and Future Directions
Abstract: The growth in the use of small sensor devices, commonly known as the Internet of Things (IoT), has resulted in unprecedented amounts of data being generated and captured. With the rapidly growing ... | [] | Train |
35,524 | 16 | Title: ORES: Open-vocabulary Responsible Visual Synthesis
Abstract: Avoiding synthesizing specific visual concepts is an essential challenge in responsible visual synthesis. However, the visual concept that needs to be avoided for responsible visual synthesis tends to be diverse, depending on the region, context, and u... | [
10624,
13700,
42756,
44741,
45242,
5932,
44177,
34074
] | Test |
35,525 | 5 | Title: The FIDS Theorems: Tensions between Multinode and Multicore Performance in Transactional Systems
Abstract: Traditionally, distributed and parallel transactional systems have been studied in isolation, as they targeted different applications and experienced different bottlenecks. However, modern high-bandwidth ne... | [] | Train |
35,526 | 24 | Title: Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
Abstract: Determining clinically relevant physiological states from multivariate time series data with missing values is essential for providing appropriate treatment for acute conditions such as Traumatic Brain Injury (TBI... | [
25129
] | Test |
35,527 | 37 | Title: cjdb: a simple, fast, and lean database solution for the CityGML data model
Abstract: When it comes to storing 3D city models in a database, the implementation of the CityGML data model can be quite demanding and often results in complicated schemas. As an example, 3DCityDB, a widely used solution, depends on a ... | [] | Train |
35,528 | 30 | Title: WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
Abstract: We present WinoQueer: a benchmark specifically designed to measure whether large language models (LLMs) encode biases that are harmful to the LGBTQ+ community. The benchmark is community-sourced, via application ... | [
22248,
34103
] | Validation |
35,529 | 24 | Title: Expectation consistency for calibration of neural networks
Abstract: Despite their incredible performance, it is well reported that deep neural networks tend to be overoptimistic about their prediction confidence. Finding effective and efficient calibration methods for neural networks is therefore an important e... | [
3010
] | Train |
35,530 | 30 | Title: OpenPI2.0: An Improved Dataset for Entity Tracking in Texts
Abstract: Representing texts as information about entities has long been deemed effective in event reasoning. We propose OpenPI2.0, an improved dataset for tracking entity states in procedural texts. OpenPI2.0 features not only canonicalized entities th... | [
39114,
6956,
44022,
33455
] | Test |
35,531 | 4 | Title: Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning
Abstract: We study the fundamental problem of the construction of optimal randomization in Differential Privacy. Depending on the clipping strategy or additional proper... | [] | Train |
35,532 | 5 | Title: Predicting the Performance-Cost Trade-off of Applications Across Multiple Systems
Abstract: In modern computing environments, users may have multiple systems accessible to them such as local clusters, private clouds, or public clouds. This abundance of choices makes it difficult for users to select the system an... | [] | Train |
35,533 | 27 | Title: TeleFMG: A Wearable Force-Myography Device for Natural Teleoperation of Multi-finger Robotic Hands
Abstract: Teleoperation enables a user to perform tasks from a remote location. Hence, the user can interact with a long-distance environment through the operation of a robotic system. Often, teleoperation is requi... | [
43201
] | Validation |
35,534 | 30 | Title: Opportunities for Large Language Models and Discourse in Engineering Design
Abstract: In recent years, large language models have achieved breakthroughs on a wide range of benchmarks in natural language processing and continue to increase in performance. Recently, the advances of large language models have raise... | [
38338,
13700,
1555,
15668,
30197,
634,
13564
] | Train |
35,535 | 24 | Title: Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Abstract: Cancer has relational information residing at varying scales, modalities, and resolutions of the acquired data, such as radiology, pathology, genomics, proteomics, and clinical records. Integrating diverse data types ... | [
20120,
36058,
32318
] | Train |
35,536 | 5 | Title: Exact Distributed Stochastic Block Partitioning
Abstract: Stochastic block partitioning (SBP) is a community detection algorithm that is highly accurate even on graphs with a complex community structure, but its inherently serial nature hinders its widespread adoption by the wider scientific community. To make i... | [] | Validation |
35,537 | 16 | Title: A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentation
Abstract: Roof plane segmentation from airborne LiDAR point clouds is an important technology for 3D building model reconstruction. One of the key issues of plane segmentation is how to design powerful featur... | [] | Train |
35,538 | 10 | Title: Context-dependent communication under environmental constraints
Abstract: There is significant evidence that real-world communication cannot be reduced to sending signals with context-independent meaning. In this work, based on a variant of the classical Lewis (1969) signaling model, we explore the conditions fo... | [] | Test |
35,539 | 15 | Title: Failure Tolerant Training With Persistent Memory Disaggregation Over CXL
Abstract: This article proposes TrainingCXL that can efficiently process large-scale recommendation datasets in the pool of disaggregated memory while making training fault tolerant with low overhead. To this end, we integrate persistent me... | [] | Train |
35,540 | 4 | Title: Experimental Security Analysis of DNN-based Adaptive Cruise Control under Context-Aware Perception Attacks
Abstract: Adaptive Cruise Control (ACC) is a widely used driver assistance feature for maintaining desired speed and safe distance to the leading vehicles. This paper evaluates the security of the deep neur... | [] | Validation |
35,541 | 27 | Title: Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Abstract: Recent studies have verified that equivariant methods can significantly improve the data efficiency, generalizability, and robustness in robot learning. Meanwhile, denoising diffusion-based generative ... | [
8994,
13826,
29118,
34215,
9384,
20809,
31562,
43693,
28142,
15407,
35741,
33425,
22805,
17436,
45597,
28414
] | Train |
35,542 | 16 | Title: Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion
Abstract: The emergence of artificial emotional intelligence technology is revolutionizing the fields of computers and robotics, allowing for a new level of communication and understanding of ... | [
12068
] | Validation |
35,543 | 22 | Title: Solving Recurrence Relations using Machine Learning, with Application to Cost Analysis
Abstract: Automatic static cost analysis infers information about the resources used by programs without actually running them with concrete data, and presents such information as functions of input data sizes. Most of the ana... | [] | Train |
35,544 | 16 | Title: Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity
Abstract: The demand for efficient processing of deep neural networks (DNNs) on embedded devices is a significant challenge limiting their deployment. Exploiting sparsity in the network's feature maps is one of the ways to reduce its infer... | [
45490
] | Train |
35,545 | 30 | Title: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
Abstract: Recently, the emergence of ChatGPT has attracted wide attention from the computational linguistics community. Many prior studies have shown that ChatGPT achieves remarkable performance on various NLP tasks in terms of automatic evaluation metrics. Ho... | [
24832,
29825,
20228,
6535,
11273,
11280,
1809,
29072,
22547,
44947,
3861,
41524,
25751,
45847,
39576,
5659,
39451,
21022,
24479,
17061,
29223,
15400,
45608,
7339,
26162,
19379,
9780,
29109,
16822,
13495,
12087,
44729,
10554,
2234,
21820,
26810,
... | Train |
35,546 | 24 | Title: Machine learning in parameter estimation of nonlinear systems
Abstract: Accurately estimating parameters in complex nonlinear systems is crucial across scientific and engineering fields. We present a novel approach for parameter estimation using a neural network with the Huber loss function. This method taps int... | [] | Train |
35,547 | 26 | Title: MONA: An Efficient and Scalable Strategy for Targeted k-Nodes Collapse
Abstract: The concept of k-core plays an important role in measuring the cohesiveness and engagement of a network. And recent studies have shown the vulnerability of k-core under adversarial attacks. However, there are few researchers concent... | [] | Train |
35,548 | 24 | Title: Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
Abstract: We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware. MGD utilizes zero-order optimizat... | [] | Test |
35,549 | 27 | Title: Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments
Abstract: Reliable localization is crucial for autonomous robots to navigate efficiently and safely. Some navigation methods can plan paths with high localizability (which describes the capability of acquiring reliab... | [] | Train |
35,550 | 24 | Title: Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
Abstract: Offline optimization paradigms such as offline Reinforcement Learning (RL) or Imitation Learning (IL) allow policy search algorithms to make use of offline data, but require careful incorporation of uncerta... | [
22816,
19905,
8994,
8798
] | Validation |
35,551 | 17 | Title: Character Simulation Using Imitation Learning With Game Engine Physics
Abstract: Creating visual 3D sensing characters that interact with AI peers and virtual environments can be a difficult task for those with less experience in using learning algorithms or creating visual environments to execute an agent-based... | [] | Train |
35,552 | 4 | Title: REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service
Abstract: Encoder as a service is an emerging cloud service. Specifically, a service provider first pre-trains an encoder (i.e., a general-purpose feature extractor) via either supervised learning or self-supervised learn... | [] | Train |
35,553 | 17 | Title: Dynamic simulation of splashing fluids
Abstract: We describe a method for modeling the dynamic behavior of splashing fluids. The model simulates the behavior of a fluid when objects impact or float on its surface. The forces generated by the objects create waves and splashes on the surface of the fluid. To demon... | [
25672,
45122
] | Train |
35,554 | 24 | Title: Mining of Single-Class by Active Learning for Semantic Segmentation
Abstract: Several Active Learning (AL) policies require retraining a target model several times in order to identify the most informative samples and rarely offer the option to focus on the acquisition of samples from underrepresented classes. H... | [] | Train |
35,555 | 24 | Title: Learn to Unlearn: A Survey on Machine Unlearning
Abstract: Machine Learning (ML) models contain private information, and implementing the right to be forgotten is a challenging privacy issue in many data applications. Machine unlearning has emerged as an alternative to remove sensitive data from a trained model,... | [
24054
] | Train |
35,556 | 30 | Title: Instruction Tuning for Large Language Models: A Survey
Abstract: This paper surveys research works in the quickly advancing field of instruction tuning (IT), a crucial technique to enhance the capabilities and controllability of large language models (LLMs). Instruction tuning refers to the process of further tr... | [
10624,
14592,
45058,
13700,
42756,
26380,
30221,
16014,
19983,
41104,
38551,
7833,
30745,
4635,
42393,
44189,
5794,
40610,
2980,
1575,
38958,
41010,
15413,
5815,
6328,
26552,
25786,
35388,
23545,
32450,
16714,
36179,
12628,
23252,
31189,
1893,
... | Validation |
35,557 | 24 | Title: High-Probability Risk Bounds via Sequential Predictors
Abstract: Online learning methods yield sequential regret bounds under minimal assumptions and provide in-expectation risk bounds for statistical learning. However, despite the apparent advantage of online guarantees over their statistical counterparts, rece... | [
17594,
36807
] | Train |
35,558 | 24 | Title: Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
Abstract: Marginal-based methods achieve promising performance in the synthetic data competition hosted by the National Institute of Standards and Technology (NIST). To deal with high-dimensional data, the distribution of synth... | [
5158
] | Test |
35,559 | 16 | Title: FaceLit: Neural 3D Relightable Faces
Abstract: We propose a generative framework, FaceLit, capable of generating a 3D face that can be rendered at various user-defined lighting conditions and views, learned purely from 2D images in-the-wild without any manual annotation. Unlike existing works that require carefu... | [
13308
] | Train |
35,560 | 25 | Title: Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism
Abstract: Instrument playing technique (IPT) is a key element of musical presentation. However, most of the existing works for IPT detection only concern monophonic music signals, yet little has been done t... | [] | Test |
35,561 | 30 | Title: Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
Abstract: We introduce Logical Offline Cycle Consistency Optimization (LOCCO), a scalable, semi-supervised method for training a neural semantic parser. Conceptually, LOCCO can be viewed as a form of self-learning where the sem... | [
35165
] | Test |
35,562 | 5 | Title: Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku
Abstract: The increasing availability of machines relying on non-GPU architectures, such as ARM A64FX in high-performance computing, provides a set of interesting challenges to application developers. In addition to requiring code portab... | [
18424,
20627,
19997
] | Validation |
35,563 | 16 | Title: REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos
Abstract: Reconstructing dynamic 3D garment surfaces with open boundaries from monocular videos is an important problem as it provides a practical and low-cost solution for clothes digitization. Recent neural rendering methods achieve high-quality dyn... | [
2382
] | Train |
35,564 | 3 | Title: Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States
Abstract: The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consuming, and e... | [] | Train |
35,565 | 30 | Title: DiffQG: Generating Questions to Summarize Factual Changes
Abstract: Identifying the difference between two versions of the same article is useful to update knowledge bases and to understand how articles evolve. Paired texts occur naturally in diverse situations: reporters write similar news stories and maintaine... | [
14609
] | Validation |
35,566 | 30 | Title: Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
Abstract: Robustness in Natural Language Processing continues to be a pertinent issue, where state of the art models under-perform under naturally shifted distributions. In the context of Question Answering, work on ... | [
13700,
14213,
13510
] | Train |
35,567 | 16 | Title: Now You See Me: Robust approach to Partial Occlusions
Abstract: Occlusions of objects is one of the indispensable problems in Computer vision. While Convolutional Neural Net-works (CNNs) provide various state of the art approaches for regular image classification, they however, prove to be not as effective for t... | [
16728
] | Train |
35,568 | 25 | Title: Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation
Abstract: In this paper, we focus on a recently proposed novel task called Audio-Visual Segmentation (AVS), where the fine-grained correspondence between audio stream and image pixels is required to be established. However, learning such corr... | [
35791
] | Test |
35,569 | 16 | Title: Learned Visual Features to Textual Explanations
Abstract: Interpreting the learned features of vision models has posed a longstanding challenge in the field of machine learning. To address this issue, we propose a novel method that leverages the capabilities of large language models (LLMs) to interpret the learn... | [
10624
] | Test |
35,570 | 24 | Title: Fusion of Global and Local Knowledge for Personalized Federated Learning
Abstract: Personalized federated learning, as a variant of federated learning, trains customized models for clients using their heterogeneously distributed data. However, it is still inconclusive about how to design personalized models with... | [
7715,
41253
] | Train |
35,571 | 24 | Title: Geometry-Aware Adaptation for Pretrained Models
Abstract: Machine learning models -- including prominent zero-shot models -- are often trained on datasets whose labels are only a small proportion of a larger label space. Such spaces are commonly equipped with a metric that relates the labels via distances betwee... | [] | Test |
35,572 | 16 | Title: Detecting Images Generated by Diffusers
Abstract: This paper explores the task of detecting images generated by text-to-image diffusion models. To evaluate this, we consider images generated from captions in the MSCOCO and Wikimedia datasets using two state-of-the-art models: Stable Diffusion and GLIDE. Our expe... | [
8308
] | Train |
35,573 | 16 | Title: Query-based Video Summarization with Pseudo Label Supervision
Abstract: Existing datasets for manually labelled query-based video summarization are costly and thus small, limiting the performance of supervised deep video summarization models. Self-supervision can address the data sparsity challenge by using a pr... | [
44728,
40316,
3263
] | Train |
35,574 | 16 | Title: ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition
Abstract: The Odeuropa Challenge on Olfactory Object Recognition aims to foster the development of object detection in the visual arts and to promote an olfactory perspective on digital heritage. Object detection in historical artworks is part... | [] | Train |
35,575 | 27 | Title: This Was (Not) Intended: How Intent Communication and Biometrics Can Enhance Social Interactions With Robots
Abstract: Socially Assistive Robots (SARs) are robots that are designed to replicate the role of a caregiver, coach, or teacher, providing emotional, cognitive, and social cues to support a specific group... | [] | Test |
35,576 | 36 | Title: Distribution of Chores with Information Asymmetry
Abstract: Fair distribution of indivisible tasks with non-positive valuations (aka chores) has given rise to a large body of work in recent years. A popular approximate fairness notion is envy-freeness up to one item (EF1), which requires that any pairwise envy c... | [] | Train |
35,577 | 6 | Title: Supporting Management of Gestational Diabetes with Comprehensive Self-Tracking: Mixed-Method Study of Wearable Sensors (Preprint)
Abstract: Gestational diabetes (GDM) poses a growing health risk to both pregnant women and their offspring. While telehealth interventions for GDM management have proven effective, t... | [] | Test |
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