node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
40,778 | 28 | Title: Energy Savings under Performance Constraints via Carrier Shutdown with Bayesian Learning
Abstract: By shutting down frequency carriers, the power consumed by a base station can be considerably reduced. However, this typically comes with traffic performance degradation, as the congestion on the remaining active c... | [] | Train |
40,779 | 24 | Title: Understanding Progressive Training Through the Framework of Randomized Coordinate Descent
Abstract: We propose a Randomized Progressive Training algorithm (RPT) -- a stochastic proxy for the well-known Progressive Training method (PT) (Karras et al., 2017). Originally designed to train GANs (Goodfellow et al., 2... | [] | Train |
40,780 | 6 | Title: Subjective Vertical Conflict Model with Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles
Abstract: Passengers of level 3-5 autonomous personal mobility vehicles (APMV) can perform non-driving tasks, such as reading books and smartphones, while driving. It has been pointed out ... | [] | Train |
40,781 | 24 | Title: Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction
Abstract: Explainability in yield prediction helps us fully explore the potential of machine learning models that are already able to achieve high accuracy for a variety of yield prediction scenarios. The data included ... | [] | Validation |
40,782 | 33 | Title: Decomposing Finite Languages
Abstract: The paper completely characterizes the primality of acyclic DFAs, where a DFA $\mathcal{A}$ is prime if there do not exist DFAs $\mathcal{A}_1,\dots,\mathcal{A}_t$ with $\mathcal{L}(\mathcal{A}) = \bigcap_{i=1}^{t} \mathcal{L}({\mathcal{A}_i})$ such that each $\mathcal{A}_i... | [] | Train |
40,783 | 27 | Title: Freespace Optical Flow Modeling for Automated Driving
Abstract: Optical flow and disparity are two informative visual features for autonomous driving perception. They have been used for a variety of applications, such as obstacle and lane detection. The concept of"U-V-Disparity"has been widely explored in the li... | [
18251,
31155
] | Train |
40,784 | 24 | Title: Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Abstract: In a wide range of multimodal tasks, contrastive learning has become a particularly appealing approach since it can successfully learn representations from abundant unlabeled data with only pairing information (e.g., image-caption or v... | [
45392,
15278,
4063
] | Validation |
40,785 | 16 | Title: Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations
Abstract: The rapid development and application of foundation models have revolutionized the field of artificial intelligence. Large diffusion models have gained significant attention for their ability to generate... | [
36736,
26145,
34074,
18223,
18516,
32410
] | Validation |
40,786 | 23 | Title: APIHarvest: Harvesting API Information from Various Online Sources
Abstract: Using APIs to develop software applications is the norm. APIs help developers to build applications faster as they do not need to reinvent the wheel. It is therefore important for developers to understand the APIs that they plan to use.... | [] | Train |
40,787 | 30 | Title: The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Who
Abstract: Automated fact-checking is often presented as an epistemic tool that fact-checkers, social media consumers, and other stakeholders can use to fight misinformation. Nevertheless, few papers thoroughly discuss how. We document this ... | [
39680,
42200
] | Train |
40,788 | 24 | Title: PADL: Language-Directed Physics-Based Character Control
Abstract: Developing systems that can synthesize natural and life-like motions for simulated characters has long been a focus for computer animation. But in order for these systems to be useful for downstream applications, they need not only produce high-qu... | [
10529,
45122,
4803,
34579,
759,
5784,
35770,
4990
] | Test |
40,789 | 2 | Title: Beyond Logic Programming for Legal Reasoning
Abstract: Logic programming has long being advocated for legal reasoning, and several approaches have been put forward relying upon explicit representation of the law in logic programming terms. In this position paper we focus on the PROLEG logic-programming-based fra... | [
37349
] | Validation |
40,790 | 16 | Title: DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
Abstract: Neural fields have achieved impressive advancements in view synthesis and scene reconstruction. However, editing these neural fields remains challenging due to the implicit encoding of geometry and texture information. In this paper, we propo... | [
18720,
9599,
34199,
42937,
541,
34167
] | Train |
40,791 | 24 | Title: The Marginal Value of Momentum for Small Learning Rate SGD
Abstract: Momentum is known to accelerate the convergence of gradient descent in strongly convex settings without stochastic gradient noise. In stochastic optimization, such as training neural networks, folklore suggests that momentum may help deep learn... | [
5729,
16005
] | Train |
40,792 | 23 | Title: MUFIN: Improving Neural Repair Models with Back-Translation
Abstract: Automated program repair is the task of automatically repairing software bugs. A promising direction in this field is self-supervised learning, a learning paradigm in which repair models are trained without commits representing pairs of bug/fi... | [
42523
] | Train |
40,793 | 16 | Title: Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
Abstract: Optical flow has achieved great success under clean scenes, but suffers from restricted performance under foggy scenes. To bridge the clean-to-foggy domain gap, the existing methods typically adopt the domain adaptation to transfer ... | [] | Test |
40,794 | 31 | Title: PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce
Abstract: Re-ranking draws increased attention on both academics and industries, which rearranges the ranking list by modeling the mutual influence among items to better meet users' demands. Many existing re-ranking methods dire... | [
4297
] | Train |
40,795 | 24 | Title: MessageNet: Message Classification using Natural Language Processing and Meta-data
Abstract: In this paper we propose a new Deep Learning (DL) approach for message classification. Our method is based on the state-of-the-art Natural Language Processing (NLP) building blocks, combined with a novel technique for in... | [] | Validation |
40,796 | 7 | Title: Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots
Abstract: Computational fluid dynamics is a common tool in cardiovascular science and engineering to simulate, predict and study hemodynamics in arteries. However, owing to the complexity and scale of cardiovascular f... | [] | Train |
40,797 | 16 | Title: DeePoint: Visual Pointing Recognition and Direction Estimation
Abstract: In this paper, we realize automatic visual recognition and direction estimation of pointing. We introduce the first neural pointing understanding method based on two key contributions. The first is the introduction of a first-of-its-kind la... | [] | Train |
40,798 | 36 | Title: Proportionality in Approval-Based Participatory Budgeting
Abstract: The ability to measure the satisfaction of (groups of) voters is a crucial prerequisite for formulating proportionality axioms in approval-based participatory budgeting elections. Two common -- but very different -- ways to measure the satisfact... | [
30097,
12055
] | Test |
40,799 | 24 | Title: Reward Shaping via Diffusion Process in Reinforcement Learning
Abstract: Reinforcement Learning (RL) models have continually evolved to navigate the exploration - exploitation trade-off in uncertain Markov Decision Processes (MDPs). In this study, I leverage the principles of stochastic thermodynamics and system... | [] | Train |
40,800 | 16 | Title: STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
Abstract: Existing methods of privacy-preserving action recognition (PPAR) mainly focus on frame-level (spatial) privacy removal through 2D CNNs. Unfortunately, they have two major drawbacks. First, they may compromise temporal dynamics in input vi... | [] | Test |
40,801 | 30 | Title: mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Abstract: Document understanding refers to automatically extract, analyze and comprehend information from various types of digital documents, such as a web page. Existing Multi-model Large Language Models (MLLMs), including mPLU... | [
10978,
37987,
13700,
29559,
41104,
5361,
30900,
29527,
3609,
1854
] | Validation |
40,802 | 4 | Title: Measuring the Leakage and Exploitability of Authentication Secrets in Super-apps: The WeChat Case
Abstract: We conduct a large-scale measurement of developers' insecure practices leading to mini-app to super-app authentication bypass, among which hard-coding developer secrets for such authentication is a major c... | [
20787
] | Test |
40,803 | 30 | Title: Cluster-Level Contrastive Learning for Emotion Recognition in Conversations
Abstract: A key challenge for Emotion Recognition in Conversations (ERC) is to distinguish semantically similar emotions. Some works utilise Supervised Contrastive Learning (SCL) which uses categorical emotion labels as supervision signa... | [
30273,
1269,
44825
] | Train |
40,804 | 30 | Title: Statistical Rejection Sampling Improves Preference Optimization
Abstract: Improving the alignment of language models with human preferences remains an active research challenge. Previous approaches have primarily utilized Reinforcement Learning from Human Feedback (RLHF) via online RL methods such as Proximal Po... | [
9280,
25772,
43641,
29396,
3289,
16890
] | Validation |
40,805 | 16 | Title: Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation
Abstract: The work discusses the use of machine learning algorithms for anomaly detection in medical image analysis and how the performance of these algorithms depends on the number of annotators a... | [] | Validation |
40,806 | 17 | Title: Boundary Value Caching for Walk on Spheres
Abstract: Grid-free Monte Carlo methods such as walk on spheres can be used to solve elliptic partial differential equations without mesh generation or global solves. However, such methods independently estimate the solution at every point, and hence do not take advanta... | [
19569,
24181
] | Train |
40,807 | 24 | Title: Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
Abstract: Automatic differentiation variational inference (ADVI) offers fast and easy-to-use posterior approximation in multiple modern probabilistic programming languages. However, its stochastic optim... | [
27348,
2934
] | Train |
40,808 | 16 | Title: A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Abstract: Recently, deep learning based approaches have shown promising results in 3D hand reconstruction from a single RGB image. These approaches can be roughly divided into model-based ap... | [] | Train |
40,809 | 30 | Title: PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
Abstract: The field of Question Answering (QA) has made remarkable progress in recent years, thanks to the advent of large pre-trained language models, newer realistic benchmark datasets with leaderboards,... | [] | Train |
40,810 | 30 | Title: Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
Abstract: Constructing commonsense knowledge graphs (CKGs) has attracted wide research attention due to its significant importance in cognitive intelligence. Nevertheless, existing CKGs are typically oriented to English,... | [
33220,
13510,
38886,
6392,
35545,
33311
] | Train |
40,811 | 22 | Title: Formalizing Box Inference for Capture Calculus
Abstract: Capture calculus has recently been proposed as a solution to effect checking, achieved by tracking the captured references of terms in the types. Boxes, along with the box and unbox operations, are a crucial construct in capture calculus, which maintains t... | [
12351
] | Validation |
40,812 | 10 | Title: A Categorical Framework of General Intelligence
Abstract: Can machines think? Since Alan Turing asked this question in 1950, nobody is able to give a direct answer, due to the lack of solid mathematical foundations for general intelligence. In this paper, we introduce a categorical framework towards this goal, w... | [
5777,
30243,
16153
] | Validation |
40,813 | 24 | Title: Robust Reinforcement Learning via Adversarial Kernel Approximation
Abstract: Robust Markov Decision Processes (RMDPs) provide a framework for sequential decision-making that is robust to perturbations on the transition kernel. However, robust reinforcement learning (RL) approaches in RMDPs do not scale well to r... | [
19540,
30807
] | Train |
40,814 | 27 | Title: Dynamic Modeling and Validation of Soft Robotic Snake Locomotion
Abstract: Soft robotic snakes made of compliant materials can continuously deform their bodies and, therefore, mimic the biological snakes' flexible and agile locomotion gaits better than their rigid-bodied counterparts. Without wheel support, to d... | [
9352,
33022
] | Test |
40,815 | 24 | Title: Graph Neural Network-Based Anomaly Detection for River Network Systems
Abstract: Background: Water is the lifeblood of river networks, and its quality plays a crucial role in sustaining both aquatic ecosystems and human societies. Real-time monitoring of water quality is increasingly reliant on in-situ sensor te... | [] | Train |
40,816 | 16 | Title: Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Abstract: Vision Transformers (ViTs) are becoming a very popular paradigm for vision tasks as they achieve state-of-the-art performance on image classification. However, although early works implied that this network structure had incre... | [] | Test |
40,817 | 24 | Title: Towards Machine Learning-based Fish Stock Assessment
Abstract: The accurate assessment of fish stocks is crucial for sustainable fisheries management. However, existing statistical stock assessment models can have low forecast performance of relevant stock parameters like recruitment or spawning stock biomass, e... | [] | Test |
40,818 | 24 | Title: Shared Growth of Graph Neural Networks via Free-direction Knowledge Distillation
Abstract: Knowledge distillation (KD) has shown to be effective to boost the performance of graph neural networks (GNNs), where the typical objective is to distill knowledge from a deeper teacher GNN into a shallower student GNN. Ho... | [
10008,
7175
] | Train |
40,819 | 24 | Title: Mechanic: A Learning Rate Tuner
Abstract: We introduce a technique for tuning the learning rate scale factor of any base optimization algorithm and schedule automatically, which we call \textsc{mechanic}. Our method provides a practical realization of recent theoretical reductions for accomplishing a similar goa... | [
15816,
39628,
16094,
42572
] | Train |
40,820 | 3 | Title: Consumer's Behavior Analysis of Electric Vehicle using Cloud Computing in the State of New York
Abstract: Sales of Electric Vehicles (EVs) in the United States have grown fast in the past decade. We analyze the Electric Vehicle Drive Clean Rebate data from the New York State Energy Research and Development Autho... | [] | Train |
40,821 | 28 | Title: Channel Estimation and Signal Detection for NLOS Ultraviolet Scattering Communication with Space Division Multiple Access
Abstract: We design a receiver assembling several photomultipliers (PMTs) as an array to increase the field of view (FOV) of the receiver and adapt to multiuser situation over None-line-of-si... | [] | Train |
40,822 | 10 | Title: Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning
Abstract: In this paper, we navigate the intricate domain of reviewer rewards in open-access academic publishing, leveraging the precision of mathematics and the st... | [] | Train |
40,823 | 16 | Title: Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Abstract: — In recent years Convolutional neural networks (CNN) have made significant progress in computer vision. These advancements have been applied to other areas, such as remote sensi... | [] | Train |
40,824 | 24 | Title: Interpretable Graph Neural Networks for Tabular Data
Abstract: Data in tabular format is frequently occurring in real-world applications. Graph Neural Networks (GNNs) have recently been extended to effectively handle such data, allowing feature interactions to be captured through representation learning. However... | [] | Validation |
40,825 | 27 | Title: Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)
Abstract: This work targets what we consider to be the foundational step for urban airborne robots, a safe landing. Our attention is directed toward what we deem the most crucial aspect of the safe landing perception stack: segmentation. W... | [] | Train |
40,826 | 34 | Title: On 2-strong connectivity orientations of mixed graphs and related problems
Abstract: A mixed graph $G$ is a graph that consists of both undirected and directed edges. An orientation of $G$ is formed by orienting all the undirected edges of $G$, i.e., converting each undirected edge $\{u,v\}$ into a directed edge... | [] | Train |
40,827 | 23 | Title: Beware of the Unexpected: Bimodal Taint Analysis
Abstract: Static analysis is a powerful tool for detecting security vulnerabilities and other programming problems. Global taint tracking, in particular, can spot vulnerabilities arising from complicated data flow across multiple functions. However, precisely iden... | [] | Train |
40,828 | 16 | Title: Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Abstract: Stable diffusion, a generative model used in text-to-image synthesis, frequently encounters resolution-induced composition problems when generating images of varying sizes. This issue primarily stems from the model being ... | [
21828,
37098,
40943,
29456,
20949
] | Test |
40,829 | 25 | Title: TST: Time-Sparse Transducer for Automatic Speech Recognition
Abstract: End-to-end model, especially Recurrent Neural Network Transducer (RNN-T), has achieved great success in speech recognition. However, transducer requires a great memory footprint and computing time when processing a long decoding sequence. To ... | [] | Test |
40,830 | 16 | Title: Looking at words and points with attention: a benchmark for text-to-shape coherence
Abstract: While text-conditional 3D object generation and manipulation have seen rapid progress, the evaluation of coherence between generated 3D shapes and input textual descriptions lacks a clear benchmark. The reason is twofol... | [
32148,
42666,
30500,
17583
] | Train |
40,831 | 30 | Title: Interactive Molecular Discovery with Natural Language
Abstract: Natural language is expected to be a key medium for various human-machine interactions in the era of large language models. When it comes to the biochemistry field, a series of tasks around molecules (e.g., property prediction, molecule mining, etc.... | [] | Test |
40,832 | 38 | Title: OpenCitations Meta
Abstract: OpenCitations Meta is a new database that contains bibliographic metadata of scholarly publications involved in citations indexed by the OpenCitations infrastructure. It adheres to Open Science principles and provides data under a CC0 license for maximum reuse. The data can be access... | [] | Train |
40,833 | 24 | Title: Beta Diffusion
Abstract: We introduce beta diffusion, a novel generative modeling method that integrates demasking and denoising to generate data within bounded ranges. Using scaled and shifted beta distributions, beta diffusion utilizes multiplicative transitions over time to create both forward and reverse dif... | [
20353,
31969,
12515,
18022,
103,
30312,
34215,
20174,
21014,
11607,
5278
] | Validation |
40,834 | 16 | Title: Beyond Learned Metadata-based Raw Image Reconstruction
Abstract: While raw images have distinct advantages over sRGB images, e.g., linearity and fine-grained quantization levels, they are not widely adopted by general users due to their substantial storage requirements. Very recent studies propose to compress ra... | [
38336
] | Train |
40,835 | 30 | Title: Solving Dialogue Grounding Embodied Task in a Simulated Environment using Further Masked Language Modeling
Abstract: Enhancing AI systems with efficient communication skills that align with human understanding is crucial for their effective assistance to human users. Proactive initiatives from the system side ar... | [
39992,
6875,
27309,
37463
] | Train |
40,836 | 30 | Title: Unsupervised extraction of local and global keywords from a single text
Abstract: We propose an unsupervised, corpus-independent method to extract keywords from a single text. It is based on the spatial distribution of words and the response of this distribution to a random permutation of words. As compared to e... | [] | Test |
40,837 | 16 | Title: 3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels
Abstract: Training a 3D human keypoint detector from point clouds in a supervised manner requires large volumes of high quality labels. While it is relatively easy to capture large amounts of human point clouds, annotating 3D key-po... | [] | Validation |
40,838 | 25 | Title: Reef Elegy: An Auditory Display of Hawaii's 2019 Coral Bleaching Data
Abstract: This paper describes an auditory display of Hawaii's 2019 coral bleaching data via means of spatial audio and parameter mapping methods. Selected data fields spanning 78 days are mapped to sound surrogates of coral reefs' natural sou... | [] | Train |
40,839 | 26 | Title: Understanding Differences in News Article Interaction Patterns on Facebook: Public vs. Private Sharing with Varying Bias and Reliability
Abstract: The proliferation of news on social media platforms has led to concerns about the impact of biased and unreliable information on public discourse. This study examines... | [] | Validation |
40,840 | 24 | Title: On the Learnability of Multilabel Ranking
Abstract: Multilabel ranking is a central task in machine learning. However, the most fundamental question of learnability in a multilabel ranking setting with relevance-score feedback remains unanswered. In this work, we characterize the learnability of multilabel ranki... | [
35812,
9703
] | Validation |
40,841 | 28 | Title: Quantized Phase Alignment by Discrete Phase Shifts for Reconfigurable Intelligent Surface-Assisted Communication Systems
Abstract: Reconfigurable intelligent surface (RIS) has aroused a surge of interest in recent years. In this paper, we investigate the joint phase alignment and phase quantization on discrete p... | [
31367
] | Test |
40,842 | 27 | Title: Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization
Abstract: An innovative sort of mobility platform that can both drive and fly is the air-ground robot. The need for an agile flight cannot be satisfied by traditional path planning techniques for air-ground robots. Prior studies ha... | [] | Train |
40,843 | 16 | Title: Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness
Abstract: The CLIP (Contrastive Language-Image Pre-training) model and its variants are becoming the de facto backbone in many applications. However, training a CLIP model from hundreds of millions of image-text pairs can be pro... | [
35,
23493,
44746,
39628,
7124
] | Test |
40,844 | 6 | Title: Cinematic Techniques in Narrative Visualization
Abstract: The many genres of narrative visualization (e.g. data comics, data videos) each offer a unique set of affordances and constraints. To better understand a genre that we call cinematic visualizations-3D visualizations that make highly deliberate use of a ca... | [] | Validation |
40,845 | 10 | Title: A Decision Making Framework for Recommended Maintenance of Road Segments
Abstract: With the rapid development of global road transportation, countries worldwide have completed the construction of road networks. However, the ensuing challenge lies in the maintenance of existing roads. It is well-known that countr... | [] | Train |
40,846 | 23 | Title: Impact of Large Language Models on Generating Software Specifications
Abstract: Software specifications are essential for ensuring the reliability of software systems. Existing specification extraction approaches, however, suffer from limited generalizability and require manual efforts. We study the effectivenes... | [
43769
] | Validation |
40,847 | 24 | Title: Generalizable Classification of UHF Partial Discharge Signals in Gas-Insulated HVDC Systems Using Neural Networks
Abstract: Undetected partial discharges (PDs) are a safety critical issue in high voltage (HV) gas insulated systems (GIS). While the diagnosis of PDs under AC voltage is well-established, the analys... | [] | Train |
40,848 | 4 | Title: On Cross-Layer Interactions of QUIC, Encrypted DNS and HTTP/3: Design, Evaluation and Dataset
Abstract: Every Web session involves a DNS resolution. While, in the last decade, we witnessed a promising trend towards an encrypted Web in general, DNS encryption has only recently gained traction with the standardisa... | [
45700
] | Test |
40,849 | 4 | Title: That Doesn't Go There: Attacks on Shared State in Multi-User Augmented Reality Applications
Abstract: Augmented Reality (AR) is expected to become a pervasive component in enabling shared virtual experiences. In order to facilitate collaboration among multiple users, it is crucial for multi-user AR applications ... | [] | Validation |
40,850 | 4 | Title: A Framework to Allow a Third Party to Watermark Numerical Data in an Encrypted Domain while Preserving its Statistical Properties
Abstract: Watermarking data for source tracking applications by its owner can be unfair for recipients because the data owner may redistribute the same watermarked data to many users.... | [] | Train |
40,851 | 22 | Title: Inferring Needless Write Memory Accesses on Ethereum Bytecode (Extended Version)
Abstract: Efficiency is a fundamental property of any type of program, but it is even more so in the context of the programs executing on the blockchain (known as smart contracts). This is because optimizing smart contracts has dire... | [] | Train |
40,852 | 16 | Title: Generating an interactive online map of future sea level rise along the North Shore of Vancouver: methods and insights on enabling geovisualisation for coastal communities
Abstract: Contemporary sea level rise (SLR) research seldom considers enabling effective geovisualisation for the communities. This lack of k... | [] | Validation |
40,853 | 16 | Title: Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
Abstract: Surgical action triplets describe instrument-tissue interactions as (instrument, verb, target) combinations, thereby supporting a detailed analysis of surgical scene activities and workflow. This work focus... | [] | Train |
40,854 | 30 | Title: Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems
Abstract: Machine Translation (MT) continues to make significant strides in quality and is increasingly adopted on a larger scale. Consequently, analyses have been redirected to more nuanced aspects, intricat... | [
37419
] | Train |
40,855 | 16 | Title: Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
Abstract: Current arbitrary style transfer models are limited to either image or video domains. In order to achieve satisfying image and video style transfers, two different models are inevitably required with separat... | [] | Train |
40,856 | 26 | Title: To be a pro-vax or not, the COVID-19 vaccine conundrum on Twitter
Abstract: The most surprising observation reported by the study in (arXiv:2208.13523), involving stance detection of COVID-19 vaccine related tweets during the first year of pandemic, is the presence of a significant number of users (~2 million) w... | [] | Train |
40,857 | 24 | Title: NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data
Abstract: The neural operator has emerged as a powerful tool in learning mappings between function spaces in PDEs. However, when faced with real-world physical data, which are often highly non-uniformly distributed, it is challenging to... | [
36735
] | Test |
40,858 | 16 | Title: Fast Inference in Denoising Diffusion Models via MMD Finetuning
Abstract: Denoising Diffusion Models (DDMs) have become a popular tool for generating high-quality samples from complex data distributions. These models are able to capture sophisticated patterns and structures in the data, and can generate samples ... | [
43881,
18022
] | Train |
40,859 | 30 | Title: Technical Report on Token Position Bias in Transformers
Abstract: Language Models (LMs) have shown state-of-the-art performance in Natural Language Processing (NLP) tasks. Downstream tasks such as Named Entity Recognition (NER) or Part-of-Speech (POS) tagging are known to suffer from data imbalance issues, speci... | [] | Test |
40,860 | 24 | Title: On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
Abstract: Offline reinforcement learning (offline RL) considers problems where learning is performed using only previously collected samples and is helpful for the settings in which collecting new data is costly... | [] | Train |
40,861 | 24 | Title: Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators
Abstract: It is becoming increasingly imperative to design robust ML defenses. However, recent work has found that many defenses that initially resist state-of-the-art attacks can be broken by an adaptive adversary. In this work we take ... | [
41328,
26623
] | Test |
40,862 | 16 | Title: Q-Diffusion: Quantizing Diffusion Models
Abstract: Diffusion models have achieved great success in image synthesis through iterative noise estimation using deep neural networks. However, the slow inference, high memory consumption, and computation intensity of the noise estimation model hinder the efficient adop... | [
19948,
500,
1141,
18516,
9880
] | Train |
40,863 | 16 | Title: Strong Baselines for Parameter Efficient Few-Shot Fine-tuning
Abstract: Few-shot classification (FSC) entails learning novel classes given only a few examples per class after a pre-training (or meta-training) phase on a set of base classes. Recent works have shown that simply fine-tuning a pre-trained Vision Tra... | [
45080,
38066,
46134
] | Train |
40,864 | 30 | Title: L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models
Abstract: The exploration of sentiment analysis in low-resource languages, such as Marathi, has been limited due to the availability of suitable datasets. In this work, we present L3Cube-MahaSent-MD, a multi-domain Marat... | [] | Validation |
40,865 | 28 | Title: An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures
Abstract: The information bottleneck (IB) approach, initially introduced by Tishby et al. to assess the"compression--relevance"tradeoff for a remote source coding problem in communications, gains popularity recently in its applic... | [] | Validation |
40,866 | 16 | Title: Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations
Abstract: Deep neural networks have proven to be vulnerable to adversarial attacks in the form of adding specific perturbations on images to make wrong outputs. Designing stronger adversarial attack methods can help more reli... | [] | Train |
40,867 | 16 | Title: High-Fidelity Clothed Avatar Reconstruction from a Single Image
Abstract: This paper presents a framework for efficient 3D clothed avatar reconstruction. By combining the advantages of the high accuracy of optimization-based methods and the efficiency of learning-based methods, we propose a coarse-to-fine way to... | [
32384,
6739,
39340,
20350
] | Validation |
40,868 | 16 | Title: Does Visual Pretraining Help End-to-End Reasoning?
Abstract: We aim to investigate whether end-to-end learning of visual reasoning can be achieved with general-purpose neural networks, with the help of visual pretraining. A positive result would refute the common belief that explicit visual abstraction (e.g. obj... | [
19787
] | Train |
40,869 | 24 | Title: QCRS: Improve Randomized Smoothing using Quasi-Concave Optimization
Abstract: Randomized smoothing is currently the state-of-the-art method that provides certified robustness for deep neural networks. However, it often cannot achieve an adequate certified region on real-world datasets. One way to obtain a larger... | [] | Validation |
40,870 | 16 | Title: Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
Abstract: This work explores the use of 3D generative models to synthesize training data for 3D vision tasks. The key requirements of the generative models are that the generated data should be photorealistic to match the real-... | [
41680
] | Train |
40,871 | 23 | Title: On the Security Blind Spots of Software Composition Analysis
Abstract: Modern software heavily relies on the use of components. Those components are usually published in central repositories, and managed by build systems via dependencies. Due to issues around vulnerabilities, licenses and the propagation of bugs... | [
19834
] | Train |
40,872 | 24 | Title: Certified Robust Control under Adversarial Perturbations
Abstract: Autonomous systems increasingly rely on machine learning techniques to transform high-dimensional raw inputs into predictions that are then used for decision-making and control. However, it is often easy to maliciously manipulate such inputs and,... | [] | Train |
40,873 | 16 | Title: Exploring External Knowledge for Accurate modeling of Visual and Language Problems
Abstract: The interest in Artificial Intelligence (AI) and its applications has seen unprecedented growth in the last few years. The success can be partly attributed to the advancements of deep neural networks made in the sub-fiel... | [] | Validation |
40,874 | 30 | Title: Targeted Data Generation: Finding and Fixing Model Weaknesses
Abstract: Even when aggregate accuracy is high, state-of-the-art NLP models often fail systematically on specific subgroups of data, resulting in unfair outcomes and eroding user trust. Additional data collection may not help in addressing these weakn... | [
7904,
27885
] | Test |
40,875 | 1 | Title: Understanding User Behavior in Volumetric Video Watching: Dataset, Analysis and Prediction
Abstract: Volumetric video emerges as a new attractive video paradigm in recent years since it provides an immersive and interactive 3D viewing experience with six degree-of-freedom (DoF). Unlike traditional 2D or panorami... | [
30306
] | Train |
40,876 | 36 | Title: Strategic Behavior of Large Language Models: Game Structure vs. Contextual Framing
Abstract: This paper investigates the strategic decision-making capabilities of three Large Language Models (LLMs): GPT-3.5, GPT-4, and LLaMa-2, within the framework of game theory. Utilizing four canonical two-player games -- Pri... | [
13510,
4071,
1292,
2833,
32921,
4634,
21724
] | Test |
40,877 | 22 | Title: Proving Logical Atomicity using Lock Invariants
Abstract: Logical atomicity has been widely accepted as a specification format for data structures in concurrent separation logic. While both lock-free and lock-based data structures have been verified against logically atomic specifications, most of the latter sta... | [] | Validation |
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