node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
40,978 | 16 | Title: BackTrack: Robust template update via Backward Tracking of candidate template
Abstract: Variations of target appearance such as deformations, illumination variance, occlusion, etc., are the major challenges of visual object tracking that negatively impact the performance of a tracker. An effective method to tack... | [
26484
] | Train |
40,979 | 16 | Title: DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis
Abstract: In recent years, diffusion models have emerged as the most powerful approach in image synthesis. However, applying these models directly to video synthesis presents challenges, as it often leads to noticeable flickering contents.... | [
20960,
42272,
23563,
23669,
17526,
34074,
35326
] | Test |
40,980 | 20 | Title: Three Edge-disjoint Plane Spanning Paths in a Point Set
Abstract: We study the following problem: Given a set $S$ of $n$ points in the plane, how many edge-disjoint plane straight-line spanning paths of $S$ can one draw? A well known result is that when the $n$ points are in convex position, $\lfloor n/2\rfloor$... | [] | Train |
40,981 | 23 | Title: Open Source Software in the Public Sector: 25 Years and Still in Its Infancy
Abstract: The proliferation of Open Source Software (OSS) adoption and collaboration has surged within industry, resulting in its ubiquitous presence in commercial offerings and shared digital infrastructure. However, in the public sect... | [] | Train |
40,982 | 24 | Title: Towards Personalized Federated Learning via Heterogeneous Model Reassembly
Abstract: This paper focuses on addressing the practical yet challenging problem of model heterogeneity in federated learning, where clients possess models with different network structures. To track this problem, we propose a novel frame... | [
44230,
42568,
25387,
43986,
35519
] | Test |
40,983 | 24 | Title: A graphon-signal analysis of graph neural networks
Abstract: We present an approach for analyzing message passing graph neural networks (MPNNs) based on an extension of graphon analysis to a so called graphon-signal analysis. A MPNN is a function that takes a graph and a signal on the graph (a graph-signal) and ... | [
35910
] | Train |
40,984 | 6 | Title: Go Together: Bridging the Gap between Learners and Teachers
Abstract: After the pandemic, humanity has been facing different types of challenges. Social relationships, societal values, and academic and professional behavior have been hit the most. People are shifting their routines to social media, and gadgets a... | [
28400
] | Train |
40,985 | 16 | Title: DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Abstract: Controllable video generation has gained significant attention in recent years. However, two main limitations persist: Firstly, most existing works focus on either text, image, or trajectory-based control, lea... | [
10624,
42272,
42214,
3979,
36286
] | Train |
40,986 | 16 | Title: A Comprehensive Evaluation Study on Risk Level Classification of Melanoma by Computer Vision on ISIC 2016-2020 Datasets
Abstract: Skin cancer is the most common type of cancer. Specifically, melanoma is the cause of 75% of skin cancer deaths, although it is the least common skin cancer. Better detection of melan... | [] | Train |
40,987 | 4 | Title: A Lightweight Authentication Protocol against Modeling Attacks based on a Novel LFSR-APUF
Abstract: Simple authentication protocols based on conventional physical unclonable function (PUF) are vulnerable to modeling attacks and other security threats. This paper proposes an arbiter PUF based on a linear feedback... | [] | Validation |
40,988 | 16 | Title: Towards Packaging Unit Detection for Automated Palletizing Tasks
Abstract: For various automated palletizing tasks, the detection of packaging units is a crucial step preceding the actual handling of the packaging units by an industrial robot. We propose an approach to this challenging problem that is fully trai... | [] | Validation |
40,989 | 6 | Title: Challenges and Trends in User Trust Discourse in AI Popularity
Abstract: The Internet revolution in 1990, followed by the data-driven and information revolution, has transformed the world as we know it. Nowadays, what seam to be 10 to 20 years ago, a science fiction idea (i.e., machines dominating the world) is ... | [
27113
] | Train |
40,990 | 16 | Title: MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Fields
Abstract: Most Neural Radiance Fields (NeRFs) have poor generalization ability, limiting their application when representing multiple scenes by a single model. To ameliorate this problem, existing methods simply condition NeRF models on image features,... | [] | Train |
40,991 | 30 | Title: COVER: A Heuristic Greedy Adversarial Attack on Prompt-based Learning in Language Models
Abstract: Prompt-based learning has been proved to be an effective way in pre-trained language models (PLMs), especially in low-resource scenarios like few-shot settings. However, the trustworthiness of PLMs is of paramount ... | [
43566
] | Train |
40,992 | 10 | Title: Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network for Adaptive Motion Integration
Abstract: Visual motion processing is essential for organisms to perceive and interact with dynamic environments. Despite extensive research in cognitive neuroscience, image-... | [
31099
] | Validation |
40,993 | 10 | Title: IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment
Abstract: AI-driven Action Quality Assessment (AQA) of sports videos can mimic Olympic judges to help score performances as a second opinion or for training. However, these AI methods are uninterpretable and do not justify their score... | [
34757
] | Train |
40,994 | 3 | Title: Learning From Peers: A Survey of Perception and Utilization of Online Peer Support Among Informal Dementia Caregivers
Abstract: Informal dementia caregivers are those who care for a person living with dementia (PLWD) without receiving payment (e.g., family members, friends, or other unpaid caregivers). These inf... | [] | Train |
40,995 | 4 | Title: Caching-based Multicast Message Authentication in Time-critical Industrial Control Systems
Abstract: Attacks against industrial control systems (ICSs) often exploit the insufficiency of authentication mechanisms. Verifying whether the received messages are intact and issued by legitimate sources can prevent mali... | [] | Validation |
40,996 | 8 | Title: MiddleNet: A Unified, High-Performance NFV and Middlebox Framework with eBPF and DPDK
Abstract: Traditional network resident functions (e.g., firewalls, network address translation) and middleboxes (caches, load balancers) have moved from purpose-built appliances to software-based components. However, L2/L3 netw... | [] | Test |
40,997 | 34 | Title: Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
Abstract: We consider non-clairvoyant scheduling with online precedence constraints, where an algorithm is oblivious to any job dependencies and learns about a job only if all of its predecessors have been completed. Given strong imposs... | [] | Train |
40,998 | 24 | Title: Smoothed Q-learning
Abstract: In Reinforcement Learning the Q-learning algorithm provably converges to the optimal solution. However, as others have demonstrated, Q-learning can also overestimate the values and thereby spend too long exploring unhelpful states. Double Q-learning is a provably convergent alternat... | [] | Test |
40,999 | 16 | Title: Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Abstract: Point cloud based 3D deep model has wide applications in many applications such as autonomous driving, house robot, and so on. Inspired by the recent prompt learning in natural language processi... | [
18776,
26137,
19800,
5535
] | Train |
41,000 | 28 | Title: Performance Analysis of Discrete-Phase-Shifter IRS-aided Amplify-and-Forward Relay Network
Abstract: As a new technology to reconfigure wireless communication environment by signal reflection controlled by software, intelligent reflecting surface (IRS) has attracted lots of attention in recent years. Compared wi... | [] | Train |
41,001 | 27 | Title: H-SLAM: Hybrid Direct-Indirect Visual SLAM
Abstract: The recent success of hybrid methods in monocular odometry has led to many attempts to generalize the performance gains to hybrid monocular SLAM. However, most attempts fall short in several respects, with the most prominent issue being the need for two differ... | [] | Train |
41,002 | 16 | Title: Q-YOLOP: Quantization-Aware You Only Look Once for Panoptic Driving Perception
Abstract: In this work, we present an efficient and quantization-aware panoptic driving perception model (Q-YOLOP) for object detection, drivable area segmentation, and lane line segmentation, in the context of autonomous driving. Our... | [] | Test |
41,003 | 4 | Title: Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation
Abstract: Recent advancements in artificial intelligence (AI) and machine learning (ML) algorithms, coupled with the availability of faster computing infrastructure, have enhanced the security posture of cybersecurity... | [] | Train |
41,004 | 16 | Title: SwinIA: Self-Supervised Blind-Spot Image Denoising with Zero Convolutions
Abstract: The essence of self-supervised image denoising is to restore the signal from the noisy image alone. State-of-the-art solutions for this task rely on the idea of masking pixels and training a fully-convolutional neural network to ... | [
20759
] | Validation |
41,005 | 24 | Title: Better Generative Replay for Continual Federated Learning
Abstract: Federated learning is a technique that enables a centralized server to learn from distributed clients via communications without accessing the client local data. However, existing federated learning works mainly focus on a single task scenario w... | [
14618,
3052,
40197
] | Test |
41,006 | 8 | Title: This Is a Local Domain: On Amassing Country-Code Top-Level Domains from Public Data
Abstract: Domain lists are a key ingredient for representative censuses of the Web. Unfortunately, such censuses typically lack a view on domains under country-code top-level domains (ccTLDs). This introduces unwanted bias: many ... | [] | Train |
41,007 | 13 | Title: Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication
Abstract: Evolutionary Algorithms and Deep Reinforcement Learning have both successfully solved control problems across a variety of domains. Recently, algorithms have been proposed which combine these two methods, aiming to levera... | [] | Train |
41,008 | 16 | Title: SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything"
Abstract: Segmenting anything is a ground-breaking step toward artificial general intelligence, and the Segment Anything Model (SAM) greatly fosters the foundation models for computer vision. We could not be more excited to probe the perfo... | [
23266,
19907,
30436,
25703,
22632,
21833,
35263,
43692,
4083,
16180,
23092,
25975,
5495,
29270,
38612,
23356,
11551
] | Validation |
41,009 | 17 | Title: Coevolution of Camouflage
Abstract: Camouflage in nature seems to arise from competition between predator and prey. To survive, predators must find prey, and prey must avoid being found. This work simulates an abstract model of that adversarial relationship. It looks at crypsis through evolving prey camouflage p... | [] | Validation |
41,010 | 30 | Title: Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Abstract: Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for information-seeking tasks such as question answering (QA). By simply prepending retrieved documents in... | [
13345,
39873,
27140,
17061,
35556,
7596,
24238,
28687,
27669,
38102,
19671,
43641,
39451
] | Validation |
41,011 | 24 | Title: Leveraging User-Triggered Supervision in Contextual Bandits
Abstract: We study contextual bandit (CB) problems, where the user can sometimes respond with the best action in a given context. Such an interaction arises, for example, in text prediction or autocompletion settings, where a poor suggestion is simply i... | [] | Train |
41,012 | 16 | Title: Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities
Abstract: Safety and efficiency are paramount in healthcare facilities where the lives of patients are at stake. Despite the adoption of robots to assist medical staff in challenging tasks such as complex s... | [
15294
] | Train |
41,013 | 30 | Title: Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Abstract: Most Transformer language models are primarily pretrained on English text, limiting their use for other languages. As the model sizes grow, the performance gap between English and other languages with fewer comput... | [
7508,
23781,
45189
] | Train |
41,014 | 30 | Title: A Novel Dual of Shannon Information and Weighting Scheme
Abstract: Shannon Information theory has achieved great success in not only communication technology where it was originally developed for but also many other science and engineering fields such as machine learning and artificial intelligence. Inspired by ... | [
36238
] | Train |
41,015 | 4 | Title: Watch Out! Smartwatches as criminal tool and digital forensic investigations
Abstract: In the rapidly advancing technological landscape, smartwatches have materialized as multifunctional devices integral to our daily routines. Smartwatches store a substantial amount of personal information, potentially serving a... | [] | Test |
41,016 | 16 | Title: Orthogonal Transform Domain Approaches for the Convolutional Layer
Abstract: In this paper, we propose a set of transform-based neural network layers as an alternative to the $3\times3$ Conv2D layers in Convolutional Neural Networks (CNNs). The proposed layers can be implemented based on orthogonal transforms su... | [] | Train |
41,017 | 24 | Title: Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data
Abstract: Over the last few years, several works have proposed deep learning architectures to learn dynamical systems from observation data with no or little knowledge of the underlying physics. A line o... | [
7014
] | Validation |
41,018 | 4 | Title: Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers
Abstract: - The rapid evolvement of deepfake creation technologies is seriously threating media information trustworthiness. The consequences impacting targeted individuals and institutions can be dire. In this work, we stud... | [
23410
] | Train |
41,019 | 31 | Title: aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions
Abstract: In this highly digitised world, fake news is a challenging problem that can cause serious harm to society. Considering how fast fake news can spread, automated methods, tools and services for assistin... | [
24629
] | Train |
41,020 | 34 | Title: Covering Planar Metrics (and Beyond): O(1) Trees Suffice
Abstract: While research on the geometry of planar graphs has been active in the past decades, many properties of planar metrics remain mysterious. This paper studies a fundamental aspect of the planar graph geometry: covering planar metrics by a small col... | [
9354,
33405
] | Train |
41,021 | 38 | Title: It's Not Just GitHub: Identifying Data and Software Sources Included in Publications
Abstract: Paper publications are no longer the only form of research product. Due to recent initiatives by publication venues and funding institutions, open access datasets and software products are increasingly considered resea... | [
11190
] | Train |
41,022 | 31 | Title: Retrievability in an Integrated Retrieval System: An Extended Study
Abstract: nan | [] | Test |
41,023 | 5 | Title: scda: A Minimal, Serial-Equivalent Format for Parallel I/O
Abstract: We specify a file-oriented data format suitable for parallel, partition-independent disk I/O. Here, a partition refers to a disjoint and ordered distribution of the data elements between one or more processes. The format is designed such that t... | [] | Train |
41,024 | 26 | Title: False Information, Bots and Malicious Campaigns: Demystifying Elements of Social Media Manipulations
Abstract: The rapid spread of false information and persistent manipulation attacks on online social networks (OSNs), often for political, ideological, or financial gain, has affected the openness of OSNs. While ... | [
39330
] | Train |
41,025 | 24 | Title: Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
Abstract: While deep neural network models offer unmatched classification performance, they are prone to learning spurious correlations in the data. Such dependencies on confounding information can be difficult to detect us... | [] | Validation |
41,026 | 16 | Title: Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter
Abstract: In this study, we address local photo enhancement to improve the aesthetic quality of an input image by applying different effects to different regions. Existing photo enhancement methods are either not content-aware or not... | [] | Train |
41,027 | 30 | Title: Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models
Abstract: Recent work in speech-to-speech translation (S2ST) has focused primarily on offline settings, where the full input utterance is available before any output is given. This, however, i... | [] | Train |
41,028 | 16 | Title: RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection
Abstract: While LiDAR sensors have been successfully applied to 3D object detection, the affordability of radar and camera sensors has led to a growing interest in fusing radars and cameras for 3D object detection. However, previous radar-camera... | [
7815
] | Validation |
41,029 | 30 | Title: Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities in various NLP tasks. However, previous works have shown these models are sensitive towards prompt wording, and few-shot demonstrations and their... | [
7648,
35107,
13700,
33220,
17295,
10800,
24503,
29396,
1654,
19671,
16890
] | Validation |
41,030 | 6 | Title: Nip it in the Bud: Moderation Strategies in Open Source Software Projects and the Role of Bots
Abstract: Much of our modern digital infrastructure relies critically upon open sourced software. The communities responsible for building this cyberinfrastructure require maintenance and moderation, which is often sup... | [] | Test |
41,031 | 30 | Title: Adopting the Multi-answer Questioning Task with an Auxiliary Metric for Extreme Multi-label Text Classification Utilizing the Label Hierarchy
Abstract: Extreme multi-label text classification utilizes the label hierarchy to partition extreme labels into multiple label groups, turning the task into simple multi-g... | [] | Validation |
41,032 | 24 | Title: Computationally Budgeted Continual Learning: What Does Matter?
Abstract: Continual Learning (CL) aims to sequentially train models on streams of incoming data that vary in distribution by preserving previous knowledge while adapting to new data. Current CL literature focuses on restricted access to previously se... | [
4004,
7175,
2439,
30472,
42698,
22123,
35917,
28561,
41394,
32216
] | Train |
41,033 | 31 | Title: On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective
Abstract: Recently, we have witnessed generative retrieval increasingly gaining attention in the information retrieval (IR) field, which retrieves documents by directly generating their identifiers. So far, much effort has been ... | [
44107,
9678,
31271
] | Train |
41,034 | 5 | Title: Parallel Strong Connectivity Based on Faster Reachability
Abstract: Computing strongly connected components (SCC) is among the most fundamental problems in graph analytics. Given the large size of today's real-world graphs, parallel SCC implementation is increasingly important. SCC is challenging in the parallel... | [
16116
] | Train |
41,035 | 23 | Title: The Inverse Transparency Toolchain: A Fully Integrated and Quickly Deployable Data Usage Logging Infrastructure
Abstract: nan | [
21946,
26778
] | Train |
41,036 | 13 | Title: Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-Optimization
Abstract: Abstract Quality diversity algorithms can be used to efficiently create a diverse set of solutions to inform engineers' intuition. But quality diversity is not efficient in very expensive problems, needing hundreds of ... | [] | Test |
41,037 | 4 | Title: Automated Cyber Defence: A Review
Abstract: Within recent times, cybercriminals have curated a variety of organised and resolute cyber attacks within a range of cyber systems, leading to consequential ramifications to private and governmental institutions. Current security-based automation and orchestrations foc... | [] | Test |
41,038 | 24 | Title: Practical self-supervised continual learning with continual fine-tuning
Abstract: Self-supervised learning (SSL) has shown remarkable performance in computer vision tasks when trained offline. However, in a Continual Learning (CL) scenario where new data is introduced progressively, models still suffer from cata... | [] | Test |
41,039 | 25 | Title: Effects of Tonal Coarticulation and Prosodic Positions on Tonal Contours of Low Rising Tones: In the Case of Xiamen Dialect
Abstract: Few studies have worked on the effects of tonal coarticulation and prosodic positions on the low rising tone in Xiamen Dialect. This study addressed such an issue. To do so, a new... | [] | Train |
41,040 | 31 | Title: Track Mix Generation on Music Streaming Services using Transformers
Abstract: This paper introduces Track Mix, a personalized playlist generation system released in 2022 on the music streaming service Deezer. Track Mix automatically generates “mix” playlists inspired by initial music tracks, allowing users to di... | [
32139
] | Validation |
41,041 | 30 | Title: Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
Abstract: In response to the global challenge of mental health problems, we proposes a Logical Neural Network (LNN) based Neuro-Symbolic AI method for the diagnosis of mental disorders. Due to the lack of effective... | [
33749
] | Train |
41,042 | 30 | Title: Implementing BERT and fine-tuned RobertA to detect AI generated news by ChatGPT
Abstract: The abundance of information on social media has increased the necessity of accurate real-time rumour detection. Manual techniques of identifying and verifying fake news generated by AI tools are impracticable and time-cons... | [
39680
] | Validation |
41,043 | 30 | Title: Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking
Abstract: Prompt-based methods with large pre-trained language models (PLMs) have shown impressive unaided performance across many NLP tasks. These models improve even further with the addition of a few labeled i... | [
24702
] | Train |
41,044 | 8 | Title: MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation
Abstract: Having been studied for more than a decade, Wi-Fi human sensing still faces a major challenge in the presence of multiple persons, simply because the limited bandwidth of Wi-Fi fails to provide a sufficient range res... | [
23479
] | Train |
41,045 | 24 | Title: Performative Prediction with Bandit Feedback: Learning through Reparameterization
Abstract: Performative prediction, as introduced by Perdomo et al. (2020), is a framework for studying social prediction in which the data distribution itself changes in response to the deployment of a model. Existing work on optim... | [] | Validation |
41,046 | 9 | Title: The airplane refueling problem is NP-complete and is solvable in polynomial time
Abstract: The airplane refueling problem is a nonlinear combinatorial optimization problem, and its equivalent problem the $n$-vehicle exploration problem is proved to be NP-complete (arXiv:2304.03965v1, The $n$-vehicle exploration ... | [
1779
] | Train |
41,047 | 14 | Title: A Unified Approach to Unimodality of Gaussian Polynomials
Abstract: In 2013, Pak and Panova proved the strict unimodality property of q-binomial coefficients (as polynomials in q) based on the combinatorics of Young tableaux and the semigroup property of Kronecker coefficients. They showed it to be true for all ... | [] | Test |
41,048 | 24 | Title: On the Optimal Recovery of Graph Signals
Abstract: Learning a smooth graph signal from partially observed data is a well-studied task in graph-based machine learning. We consider this task from the perspective of optimal recovery, a mathematical framework for learning a function from observational data that adop... | [] | Validation |
41,049 | 24 | Title: Deep ReLU Networks Have Surprisingly Simple Polytopes
Abstract: A ReLU network is a piecewise linear function over polytopes. Figuring out the properties of such polytopes is of fundamental importance for the research and development of neural networks. So far, either theoretical or empirical studies on polytope... | [] | Train |
41,050 | 10 | Title: Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
Abstract: This paper presents the deep learning-based recent achievements to resolve the problem of autonomous mobility control and efficient resource management of autonomous vehicles and UAVs, i.e., (i) multi-agen... | [
14638
] | Train |
41,051 | 36 | Title: Mixed Fair Division: A Survey
Abstract: The fair allocation of resources to agents is a fundamental problem in society and has received significant attention and rapid developments from the game theory and artificial intelligence communities in recent years. The majority of the fair division literature can be di... | [
12291,
8133,
10513,
30097,
7348,
3356,
24221
] | Train |
41,052 | 16 | Title: BPT: Binary Point Cloud Transformer for Place Recognition
Abstract: Place recognition, an algorithm to recognize the re-visited places, plays the role of back-end optimization trigger in a full SLAM system. Many works equipped with deep learning tools, such as MLP, CNN, and transformer, have achieved great impro... | [] | Train |
41,053 | 10 | Title: Large Language Model Guided Tree-of-Thought
Abstract: In this paper, we introduce the Tree-of-Thought (ToT) framework, a novel approach aimed at improving the problem-solving capabilities of auto-regressive large language models (LLMs). The ToT technique is inspired by the human mind's approach for solving compl... | [
8225,
18564,
34821,
5254,
3942,
13510,
17447,
27879,
11115,
15692,
27880,
31851,
34637,
39469,
39602,
38709,
13495
] | Train |
41,054 | 16 | Title: GCNet: Probing Self-Similarity Learning for Generalized Counting Network
Abstract: The class-agnostic counting (CAC) problem has caught increasing attention recently due to its wide societal applications and arduous challenges. To count objects of different categories, existing approaches rely on user-provided e... | [
11561
] | Test |
41,055 | 16 | Title: Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Abstract: Neural Radiance Fields (NeRFs) have shown promise in applications like view synthesis and depth estimation, but learning from multiview images faces inherent uncertainties. Current methods to quantify them are either heuristic or comput... | [
45281,
19781,
12997,
24716,
38959,
3225,
38751
] | Test |
41,056 | 3 | Title: SugarChain: Blockchain technology meets Agriculture - The case study and analysis of the Indian sugarcane farming
Abstract: . Not only in our country and Asia, but the agriculture sector is also lagging all over the world while using new technologies and innovations. Farmers are not getting the accurate price an... | [] | Train |
41,057 | 30 | Title: Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Abstract: Debiasing methods that seek to mitigate the tendency of Language Models (LMs) to occasionally output toxic or inappropriate text have recently gained traction. In this paper, we propose a standardized... | [] | Train |
41,058 | 24 | Title: Federated Survival Forests
Abstract: Survival analysis is a subfield of statistics concerned with modeling the occurrence time of a particular event of interest for a population. Survival analysis found widespread applications in healthcare, engineering, and social sciences. However, real-world applications invo... | [
45304,
19801
] | Train |
41,059 | 30 | Title: Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking
Abstract: There has been significant interest in zero and few-shot learning for dialogue state tracking (DST) due to the high cost of collecting and annotating task-oriented dialogues. Recent work has demonstrated that in-context learnin... | [] | Train |
41,060 | 33 | Title: Symbolic Quantum Simulation with Quasimodo
Abstract: The simulation of quantum circuits on classical computers is an important problem in quantum computing. Such simulation requires representations of distributions over very large sets of basis vectors, and recent work has used symbolic data-structures such as B... | [] | Validation |
41,061 | 16 | Title: Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning
Abstract: Manual assembly workers face increasing complexity in their work. Human-centered assistance systems could help, but object recognition as an enabling technology hinders sophisticated human-centered des... | [] | Test |
41,062 | 28 | Title: Union Bounds on the Symbol Error Probability of LoRa Modulation for Flat Rician Block Fading Channels
Abstract: nan | [] | Validation |
41,063 | 30 | Title: Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
Abstract: Model pre-training on large text corpora has been demonstrated effective for various downstream applications in the NLP domain. In the graph mining domain, a similar analogy can be drawn for pre-trainin... | [] | Validation |
41,064 | 4 | Title: Creating Valid Adversarial Examples of Malware
Abstract: Machine learning is becoming increasingly popular as a go-to approach for many tasks due to its world-class results. As a result, antivirus developers are incorporating machine learning models into their products. While these models improve malware detecti... | [] | Train |
41,065 | 24 | Title: FedSoL: Bridging Global Alignment and Local Generality in Federated Learning
Abstract: Federated Learning (FL) aggregates locally trained models from individual clients to construct a global model. While FL enables learning a model with data privacy, it often suffers from significant performance degradation when... | [
16201,
19034,
6223
] | Validation |
41,066 | 30 | Title: WC-SBERT: Zero-Shot Text Classification via SBERT with Self-Training for Wikipedia Categories
Abstract: Our research focuses on solving the zero-shot text classification problem in NLP, with a particular emphasis on innovative self-training strategies. To achieve this objective, we propose a novel self-training ... | [
24096,
22835
] | Validation |
41,067 | 34 | Title: A Better-Than-1.6-Approximation for Prize-Collecting TSP
Abstract: Prize-Collecting TSP is a variant of the traveling salesperson problem where one may drop vertices from the tour at the cost of vertex-dependent penalties. The quality of a solution is then measured by adding the length of the tour and the sum of... | [] | Train |
41,068 | 4 | Title: WinkFuzz: Model-based Script Synthesis for Fuzzing
Abstract: Kernel fuzzing is important for finding critical kernel vulnerabilities. Close-source (e.g., Windows) operating system kernel fuzzing is even more challenging due to the lack of source code. Existing approaches fuzz the kernel by modeling syscall seque... | [] | Train |
41,069 | 24 | Title: Active Sensing with Predictive Coding and Uncertainty Minimization
Abstract: We present an end-to-end procedure for embodied exploration based on two biologically inspired computations: predictive coding and uncertainty minimization. The procedure can be applied to any exploration setting in a task-independent a... | [] | Train |
41,070 | 24 | Title: Phase-shifted Adversarial Training
Abstract: Adversarial training has been considered an imperative component for safely deploying neural network-based applications to the real world. To achieve stronger robustness, existing methods primarily focus on how to generate strong attacks by increasing the number of up... | [] | Train |
41,071 | 5 | Title: SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
Abstract: Many deep learning applications benefit from using large models with billions of parameters. Training these models is notoriously expensive due to the need for specialized HPC clusters. In this work, we consider altern... | [
40953,
10660,
2996,
7399
] | Train |
41,072 | 4 | Title: Model Stealing Attack against Multi-Exit Networks
Abstract: Compared to traditional neural networks with a single exit, a multi-exit network has multiple exits that allow for early output from intermediate layers of the model, thus bringing significant improvement in computational efficiency while maintaining si... | [] | Train |
41,073 | 16 | Title: Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
Abstract: Human-centric visual tasks have attracted increasing research attention due to their widespread applications. In this paper, we aim to learn a general human representation from massive unlabeled... | [
40224,
42008,
38876,
45703
] | Validation |
41,074 | 16 | Title: Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data
Abstract: Real-world data tends to follow a long-tailed distribution, where the class imbalance results in dominance of the head classes during training. In this paper, we propose a frustratingly simple but effective step-wise learn... | [] | Train |
41,075 | 24 | Title: An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Abstract: Byzantine-robust federated learning aims at mitigating Byzantine failures during the federated training process, where malicious participants may upload arbitrary local updates to the central server to degrade the perfo... | [
10984
] | Train |
41,076 | 27 | Title: Overtaking Moving Obstacles with Digit: Path Following for Bipedal Robots via Model Predictive Contouring Control
Abstract: Humanoid robots are expected to navigate in changing environments and perform a variety of tasks. Frequently, these tasks require the robot to make decisions online regarding the speed and ... | [
4123
] | Train |
41,077 | 16 | Title: PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
Abstract: In this paper, we investigate the challenge of spatio-temporal video prediction, which involves generating future videos based on historical data streams. Existing approaches typically utilize external information such ... | [] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.