node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
26,278 | 31 | Title: Robust Preference-Guided Denoising for Graph based Social Recommendation
Abstract: Graph Neural Network (GNN) based social recommendation models improve the prediction accuracy of user preference by leveraging GNN in exploiting preference similarity contained in social relations. However, in terms of both effect... | [
26020
] | Test |
26,279 | 24 | Title: MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty
Abstract: Structure-based models in the molecular sciences can be highly sensitive to input geometries and give predictions with large variance under subtle coordinate perturbations. We present an approach to mitigate this f... | [
4633,
18615
] | Train |
26,280 | 16 | Title: TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles
Abstract: In order to produce facial-expression-specified talking head videos, previous audio-driven one-shot talking head methods need to use a reference video with a matching speaking style (i.e., facial expressions). However, findin... | [
14507,
1540,
1029
] | Train |
26,281 | 3 | Title: Packaging code for reproducible research in the public sector
Abstract: The effective and ethical use of data to inform decision-making offers huge value to the public sector, especially when delivered by transparent, reproducible, and robust data processing workflows. One way that governments are unlocking this... | [] | Train |
26,282 | 30 | Title: MultiLegalPile: A 689GB Multilingual Legal Corpus
Abstract: Large, high-quality datasets are crucial for training Large Language Models (LLMs). However, so far, there are few datasets available for specialized critical domains such as law and the available ones are often only for the English language. We curate ... | [
13700,
31717,
2855,
26922,
747,
33836,
16911,
30323
] | Test |
26,283 | 16 | Title: RFPose-OT: RF-Based 3D Human Pose Estimation via Optimal Transport Theory
Abstract: This paper introduces a novel framework, i.e., RFPose-OT, to enable the 3D human pose estimation from Radio Frequency (RF) signals. Different from existing methods that predict human poses from RF signals on the signal level dire... | [] | Train |
26,284 | 16 | Title: Correlation Loss: Enforcing Correlation between Classification and Localization
Abstract: Object detectors are conventionally trained by a weighted sum of classification and localization losses. Recent studies (e.g., predicting IoU with an auxiliary head, Generalized Focal Loss, Rank & Sort Loss) have shown that... | [] | Train |
26,285 | 30 | Title: Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition
Abstract: With the rise of bidirectional encoder representations from Transformer models in natural language processing, the speech community has adopted some of their development methodologies. T... | [] | Train |
26,286 | 11 | Title: Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learning
Abstract: Practical uses of Artificial Intelligence (AI) in the real world have demonstrated the importance of embedding moral choices into intelligent agents. They have also highlighted that defining top-down ethical constraints o... | [
24486
] | Train |
26,287 | 30 | Title: Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages
Abstract: Multilingual language models have recently gained attention as a promising solution for representing multiple languages in a single model. In this paper, we propose new criteria to evaluate... | [
514
] | Validation |
26,288 | 4 | Title: Unconditionally Secure Access Control Encryption
Abstract: Access control encryption (ACE) enforces, through a sanitizer as the mediator, that only legitimate sender-receiver pairs can communicate, without the sanitizer knowing the communication metadata, including its sender and recipient identity, the policy o... | [] | Train |
26,289 | 33 | Title: Checking Refinement of Asynchronous Programs against Context-Free Specifications
Abstract: In the language-theoretic approach to refinement verification, we check that the language of traces of an implementation all belong to the language of a specification. We consider the refinement verification problem for as... | [] | Validation |
26,290 | 7 | Title: Physics-informed neural networks for blood flow inverse problems
Abstract: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known and scatter measurements are available. This is especially ... | [] | Train |
26,291 | 16 | Title: TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators
Abstract: To understand how deep neural networks perform classification predictions, recent research attention has been focusing on developing techniques to offer desirable explanations. However, most existing methods cannot b... | [] | Validation |
26,292 | 16 | Title: How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images
Abstract: The emerging scale segmentation model, Segment Anything (SAM), exhibits impressive capabilities in zero-shot segmentation for natural images. However, when applied to medical images, SAM suffers from noticeable performance drop. T... | [
34047,
4643,
19907,
25703
] | Train |
26,293 | 30 | Title: TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Abstract: This work summarizes two strategies for completing time-series (TS) tasks using today's language model (LLM): LLM-for-TS, design and train a fundamental large model for TS data; TS-for-LLM, enable the pre-trained LLM to ha... | [
8967,
29612,
43062,
43641,
29787,
32989
] | Train |
26,294 | 24 | Title: High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison
Abstract: We present a versatile GPU-based parallel version of Logistic Regression (LR), aiming to address the increasing demand for faster algorithms in binary classification due to large data sets. Our implementa... | [] | Train |
26,295 | 16 | Title: A Correction-Based Dynamic Enhancement Framework towards Underwater Detection
Abstract: To assist underwater object detection for better performance, image enhancement technology is often used as a pre-processing step. However, most of the existing enhancement methods tend to pursue the visual quality of an imag... | [] | Train |
26,296 | 26 | Title: Dual Node and Edge Fairness-Aware Graph Partition
Abstract: Fair graph partition of social networks is a crucial step toward ensuring fair and non-discriminatory treatments in unsupervised user analysis. Current fair partition methods typically consider node balance, a notion pursuing a proportionally balanced n... | [] | Train |
26,297 | 28 | Title: The Asymptotic Capacity of X-Secure T-Private Linear Computation with Graph Based Replicated Storage
Abstract: The problem of $X$-secure $T$-private linear computation with graph based replicated storage (GXSTPLC) is to enable the user to retrieve a linear combination of messages privately from a set of $N$ dist... | [] | Validation |
26,298 | 30 | Title: Weight-Inherited Distillation for Task-Agnostic BERT Compression
Abstract: Knowledge Distillation (KD) is a predominant approach for BERT compression. Previous KD-based methods focus on designing extra alignment losses for the student model to mimic the behavior of the teacher model. These methods transfer the k... | [] | Train |
26,299 | 17 | Title: Adaptive Dynamic Global Illumination
Abstract: technique robustly updates the irradiance and visibility cache to reflect the most up to date changes without stalling the overall algorithm. Our bandwidth aware approach is largely an improvement over the original Dynamic Diffuse Global Illumination while also rema... | [] | Train |
26,300 | 30 | Title: Reranking Passages with Coarse-to-Fine Neural Retriever using List-Context Information
Abstract: Passage reranking is a crucial task in many applications, particularly when dealing with large-scale documents. Traditional neural architectures are limited in retrieving the best passage for a question because they ... | [
20873
] | Train |
26,301 | 30 | Title: Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes
Abstract: Increasingly powerful Large Language Model (LLM) based chatbots, like ChatGPT and Bard, are becoming available to users that have the potential to revolutionize the quality of decision-making achie... | [
40192,
33220,
13510,
24308,
44246,
35580
] | Train |
26,302 | 28 | Title: Timely Tracking of a Remote Dynamic Source Via Multi-Hop Renewal Updates
Abstract: We study the version age of information in a multi-hop multi-cast cache-enabled network, where updates at the source are marked with incrementing version numbers, and the inter-update times on the links are not necessarily exponen... | [
40142,
19911
] | Train |
26,303 | 16 | Title: Domain Adaptive Synapse Detection with Weak Point Annotations
Abstract: The development of learning-based methods has greatly improved the detection of synapses from electron microscopy (EM) images. However, training a model for each dataset is time-consuming and requires extensive annotations. Additionally, it ... | [
40076
] | Test |
26,304 | 5 | Title: HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU
Abstract: The end of Dennard scaling and the slowdown of Moore's law led to a shift in technology trends toward parallel architectures, particularly in HPC systems. To continue providing performance benefits, HPC should em... | [] | Test |
26,305 | 26 | Title: Evolving linguistic divergence on polarizing social media
Abstract: Language change is influenced by many factors, but often starts from synchronic variation, where multiple linguistic patterns or forms coexist, or where different speech communities use language in increasingly different ways. Besides regional o... | [
21794,
29861,
29072,
39642,
5183
] | Train |
26,306 | 30 | Title: SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Abstract: Explaining the decisions of neural models is crucial for ensuring their trustworthiness at deployment time. Using Natural Language Explanations (NLEs) to justify a model's predicti... | [] | Test |
26,307 | 6 | Title: Categorisation of future applications for Augmented Reality in human lunar exploration
Abstract: The European Space Agency (ESA) has a clear mission to go forward to the Moon in preparation of human presence on Mars. One of the technologies looked at to increase safety and efficiency of astronauts in this contex... | [
45502
] | Train |
26,308 | 30 | Title: μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge
Abstract: Cross-lingual summarization consists of generating a summary in one language given an input document in a different language, allowing for the dissemination of relevant content across speakers of other languages. However, this task remains... | [
7878
] | Train |
26,309 | 27 | Title: Real-Time Character Rise Motions
Abstract: This paper presents an uncomplicated dynamic controller for generating physically-plausible three-dimensional full-body biped character rise motions on-the-fly at run-time. Our low-dimensional controller uses fundamental reference information (e.g., center-of-mass, hand... | [] | Train |
26,310 | 16 | Title: A survey on facial image deblurring
Abstract: When a facial image is blurred, it significantly affects high-level vision tasks such as face recognition. The purpose of facial image deblurring is to recover a clear image from a blurry input image, which can improve the recognition accuracy, etc. However, general ... | [] | Test |
26,311 | 33 | Title: Transformational Supervisor Localization
Abstract: Supervisor localization can be applied to distribute a monolithic supervisor into local supervisors. Performing supervisor localization can be computationally costly. In this letter, we consider systems that evolve over time. We study how to reuse the results fr... | [] | Test |
26,312 | 24 | Title: Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction
Abstract: Autonomous systems in the road transportation network require intelligent mechanisms that cope with uncertainty to foresee the future. In this paper, we propose a multi-stage probabilistic approach for trajectory forecasting:... | [
2310
] | Train |
26,313 | 1 | Title: Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection
Abstract: Many dense 3D point clouds have been exploited to represent visual objects instead of traditional images or videos. To evaluate the perceptual quality of various point clouds, in this letter, we propose a nove... | [
11392
] | Train |
26,314 | 34 | Title: Faster Detours in Undirected Graphs
Abstract: The $k$-Detour problem is a basic path-finding problem: given a graph $G$ on $n$ vertices, with specified nodes $s$ and $t$, and a positive integer $k$, the goal is to determine if $G$ has an $st$-path of length exactly $\text{dist}(s, t) + k$, where $\text{dist}(s, ... | [
44544,
7321,
707
] | Validation |
26,315 | 2 | Title: Depth-bounded epistemic logic
Abstract: Epistemic logics model how agents reason about their beliefs and the beliefs of other agents. Existing logics typically assume the ability of agents to reason perfectly about propositions of unbounded modal depth. We present DBEL, an extension of S5 that models agents that... | [] | Validation |
26,316 | 30 | Title: Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation
Abstract: Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have limitations when it comes to complex tasks that r... | [
37684
] | Train |
26,317 | 4 | Title: Watermarking Text Data on Large Language Models for Dataset Copyright Protection
Abstract: Large Language Models (LLMs), such as BERT and GPT-based models like ChatGPT, have recently demonstrated their impressive capacity for learning language representations, yielding significant benefits for various downstream... | [
26792,
22476,
6942,
15601,
38235,
22334
] | Train |
26,318 | 11 | Title: Measuring a Priori Voting Power - Taking Delegations Seriously
Abstract: We introduce new power indices to measure the a priori voting power of voters in liquid democracy elections where an underlying network restricts delegations. We argue that our power indices are natural extensions of the standard Penrose-Ba... | [
44283
] | Train |
26,319 | 24 | Title: R-Mixup: Riemannian Mixup for Biological Networks
Abstract: Biological networks are commonly used in biomedical and healthcare domains to effectively model the structure of complex biological systems with interactions linking biological entities. However, due to their characteristics of high dimensionality and l... | [
10224,
41744,
39574,
2295,
19288,
24987
] | Train |
26,320 | 26 | Title: Dynamic Link Prediction Using Graph Representation Learning with Enhanced Structure and Temporal Information
Abstract: The links in many real networks are evolving with time. The task of dynamic link prediction is to use past connection histories to infer links of the network at a future time. How to effectively... | [] | Test |
26,321 | 10 | Title: H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem
Abstract: We propose an end-to-end learning framework based on hierarchical reinforcement learning, called H-TSP, for addressing the large-scale Traveling Salesman Problem (TSP). The proposed H-TSP constructs a solution of a TSP instance s... | [
7730
] | Train |
26,322 | 30 | Title: Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
Abstract: We analyze sentiment analysis and toxicity detection models to detect the presence of explicit bias against people with disability (PWD). We employ the bias identification framework of Perturbation... | [
35081,
12067,
38423
] | Train |
26,323 | 16 | Title: Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study
Abstract: Early diagnosis of prostate cancer significantly improves a patient's 5-year survival rate. Biopsy of small prostate cancers is improved with image-guided biopsy... | [] | Train |
26,324 | 28 | Title: Compress-and-Forward Via Multilevel Coding and Trellis Coded Quantization
Abstract: Compress-forward (CF) relays can improve communication rates even when the relay cannot decode the source signal. Efficient implementation of CF is a topic of contemporary interest, in part because of its potential impact on wire... | [] | Train |
26,325 | 27 | Title: Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles
Abstract: Developing reliable autonomous driving algorithms poses challenges in testing, particularly when it comes to safety-critical traffic scenarios involving pedestrians. An open question is how to simulate rare events, not... | [] | Test |
26,326 | 16 | Title: DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering
Abstract: Realistic human-centric rendering plays a key role in both computer vision and computer graphics. Rapid progress has been made in the algorithm aspect over the years, yet existing human-centric rendering datasets... | [
32384,
42645,
43165
] | Train |
26,327 | 24 | Title: Convergence of mean-field Langevin dynamics: Time and space discretization, stochastic gradient, and variance reduction
Abstract: The mean-field Langevin dynamics (MFLD) is a nonlinear generalization of the Langevin dynamics that incorporates a distribution-dependent drift, and it naturally arises from the optim... | [] | Train |
26,328 | 23 | Title: Automotive Perception Software Development: An Empirical Investigation into Data, Annotation, and Ecosystem Challenges
Abstract: Software that contains machine learning algorithms is an integral part of automotive perception, for example, in driving automation systems. The development of such software, specifica... | [] | Train |
26,329 | 8 | Title: Critical Comparative Analysis and Recommendation in MAC Protocols for Wireless Mesh Networks Using Multi-objective Optimization and Statistical Testing
Abstract: nan | [] | Train |
26,330 | 28 | Title: RIS-Assisted 6G Wireless Communications: A Novel Statistical Framework in the Presence of Direct Channel
Abstract: A RIS-assisted wireless communication system in the presence of a direct communication path between the transceiver pair is considered in this paper. The transmitter-RIS and the RIS-receiver channel... | [
42,
5062
] | Test |
26,331 | 30 | Title: Robust Acoustic and Semantic Contextual Biasing in Neural Transducers for Speech Recognition
Abstract: Attention-based contextual biasing approaches have shown significant improvements in the recognition of generic and/or personal rare-words in End-to-End Automatic Speech Recognition (E2E ASR) systems like neura... | [
20872
] | Train |
26,332 | 24 | Title: On Computing Optimal Tree Ensembles
Abstract: Random forests and, more generally, (decision\nobreakdash-)tree ensembles are widely used methods for classification and regression. Recent algorithmic advances allow to compute decision trees that are optimal for various measures such as their size or depth. We are ... | [] | Train |
26,333 | 24 | Title: Shuffle SGD is Always Better than SGD: Improved Analysis of SGD with Arbitrary Data Orders
Abstract: Stochastic Gradient Descent (SGD) algorithms are widely used in optimizing neural networks, with Random Reshuffling (RR) and Single Shuffle (SS) being popular choices for cycling through random or single permutat... | [
19868,
13700
] | Train |
26,334 | 27 | Title: DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Abstract: This article proposes a novel learning-based control policy with strong generalizability to new environments that enables a mobile robot to navigate autonomously through spaces filled with both static obstacles and den... | [
6577,
8636,
2215
] | Train |
26,335 | 10 | Title: Collectionless Artificial Intelligence
Abstract: By and large, the professional handling of huge data collections is regarded as a fundamental ingredient of the progress of machine learning and of its spectacular results in related disciplines, with a growing agreement on risks connected to the centralization of... | [
29597
] | Validation |
26,336 | 27 | Title: MRNAV: Multi-Robot Aware Planning and Control Stack for Collision and Deadlock-free Navigation in Cluttered Environments
Abstract: Multi-robot collision-free and deadlock-free navigation in cluttered environments with static and dynamic obstacles is a fundamental problem for many applications. We introduce MRNAV... | [
39884,
2628
] | Train |
26,337 | 16 | Title: A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learning
Abstract: In this paper, we study the performance invariance of convolutional neural networks when confronted with variable image sizes in the context of a more"wild steganalysis". First, we propose two a... | [] | Train |
26,338 | 16 | Title: Document Understanding Dataset and Evaluation (DUDE)
Abstract: We call on the Document AI (DocAI) community to reevaluate current methodologies and embrace the challenge of creating more practically-oriented benchmarks. Document Understanding Dataset and Evaluation (DUDE) seeks to remediate the halted research p... | [
43736,
35233
] | Test |
26,339 | 8 | Title: Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
Abstract: Integrating native AI support into the network architecture is an essential objective of 6G. Federated Learning (FL) emerges as a potential paradigm, facilitating decentralized AI model training across a diverse range ... | [] | Train |
26,340 | 24 | Title: Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning
Abstract: A set of variables is the Markov blanket of a random variable if it contains all the information needed for predicting the variable. If the blanket cannot be reduced without losing useful information, it is called a Marko... | [] | Test |
26,341 | 30 | Title: Duncode Characters Shorter
Abstract: This paper investigates the employment of various encoders in text transformation, converting characters into bytes. It discusses local encoders such as ASCII and GB-2312, which encode specific characters into shorter bytes, and universal encoders like UTF-8 and UTF-16, which... | [] | Validation |
26,342 | 24 | Title: Theoretical Foundations of Adversarially Robust Learning
Abstract: Despite extraordinary progress, current machine learning systems have been shown to be brittle against adversarial examples: seemingly innocuous but carefully crafted perturbations of test examples that cause machine learning predictors to miscla... | [] | Train |
26,343 | 31 | Title: Hierarchical and Contrastive Representation Learning for Knowledge-Aware Recommendation
Abstract: Incorporating knowledge graph into recommendation is an effective way to alleviate data sparsity. Most existing knowledge-aware methods usually perform recursive embedding propagation by enumerating graph neighbors.... | [] | Train |
26,344 | 16 | Title: With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning
Abstract: Image captioning, like many tasks involving vision and language, currently relies on Transformer-based architectures for extracting the semantics in an image and translating it into linguistically coherent descript... | [] | Validation |
26,345 | 24 | Title: Bayesian Physics-Informed Neural Network for the Forward and Inverse Simulation of Engineered Nano-particles Mobility in a Contaminated Aquifer
Abstract: Globally, there are many polluted groundwater sites that need an active remediation plan for the restoration of local ecosystem and environment. Engineered nan... | [] | Test |
26,346 | 7 | Title: PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
Abstract: Physics-Informed Neural Networks (PINNs) have emerged as a promising deep learning framework for approximating numerical solutions for partial differential equations (PDEs). While conventional PINNs and most related studies... | [] | Validation |
26,347 | 24 | Title: Faithful Knowledge Distillation
Abstract: Knowledge distillation (KD) has received much attention due to its success in compressing networks to allow for their deployment in resource-constrained systems. While the problem of adversarial robustness has been studied before in the KD setting, previous works overloo... | [] | Train |
26,348 | 16 | Title: Can representation learning for multimodal image registration be improved by supervision of intermediate layers?
Abstract: Multimodal imaging and correlative analysis typically require image alignment. Contrastive learning can generate representations of multimodal images, reducing the challenging task of multim... | [] | Train |
26,349 | 27 | Title: Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent
Abstract: — The integration of the physical capabilities of an industrial collaborative robot with a social virtual character may represent a viable solution to enhance the workers’ per- ception of the system as an... | [] | Validation |
26,350 | 24 | Title: Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data
Abstract: Clustering high-dimensional spatiotemporal data using an unsupervised approach is a challenging problem for many data-driven applications. Existing state-of-the-art methods for unsupervised clustering use ... | [] | Validation |
26,351 | 28 | Title: Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding
Abstract: Joint communications and sensing (JCAS) is envisioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, hybrid beamforming (HBF) is typically employed to achieve satisfactory beamformi... | [
40729,
32646
] | Train |
26,352 | 30 | Title: Researchers eye-view of sarcasm detection in social media textual content
Abstract: The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. Each user has a different approach to misusing and recognising sarcasm. Sarcasm detection is diffi... | [] | Test |
26,353 | 4 | Title: Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Abstract: In decentralized settings, the shuffle model of differential privacy has emerged as a promising alternative to the classical local model. Analyzing privacy amplification via shuffling is a critical component in both single-message ... | [] | Train |
26,354 | 4 | Title: D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities
Abstract: The use of the un-indexed web, commonly known as the deep web and dark web, to commit or facilitate criminal activity has drastically increased over the past decade. The dark web is an ... | [
39666
] | Train |
26,355 | 16 | Title: Memory Efficient Diffusion Probabilistic Models via Patch-based Generation
Abstract: Diffusion probabilistic models have been successful in generating high-quality and diverse images. However, traditional models, whose input and output are high-resolution images, suffer from excessive memory requirements, making... | [] | Train |
26,356 | 34 | Title: Exact Short Products From Truncated Multipliers
Abstract: We sometimes need to compute the most significant digits of the product of small integers with a multiplier requiring much storage: e.g., a large integer (e.g., $5^{100}$) or an irrational number ($\pi$). We only need to access the most significant digits... | [] | Validation |
26,357 | 30 | Title: A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Abstract: The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluati... | [
17920,
19968,
7043,
13700,
20228,
29956,
6535,
44419,
5643,
19083,
44173,
29072,
14609,
33302,
45847,
33815,
38811,
6942,
24350,
24479,
40736,
41122,
11045,
25765,
39,
17577,
1326,
4271,
17076,
12602,
16827,
34236,
8894,
23359,
38849,
36547,
32... | Train |
26,358 | 27 | Title: Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders
Abstract: The missing signal caused by the objects being occluded or an unstable sensor is a common challenge during data collection. Such missing signals will adversely affect the results obtained from the data, and thi... | [] | Train |
26,359 | 16 | Title: DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Abstract: As it is empirically observed that Vision Transformers (ViTs) are quite insensitive to the order of input tokens, the need for an appropriate self-supervised pretext task that enhances the location awareness of ViTs is becomi... | [
17154,
8162,
645,
16843,
22542,
34355,
38360
] | Train |
26,360 | 16 | Title: Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
Abstract: Class-agnostic counting (CAC) has numerous potential applications across various domains. The goal is to count objects of an arbitrary category during testing, based on only a few annotated exemplars. In this paper, we point out ... | [] | Test |
26,361 | 4 | Title: Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats
Abstract: Advanced persistent threats (APTs) have novel features such as multi-stage penetration, highly-tailored intention, and evasive tactics. APTs defense requires fusing multi-dimensional Cyber threat inte... | [
6598
] | Train |
26,362 | 16 | Title: Probing Conceptual Understanding of Large Visual-Language Models
Abstract: We present a novel framework for probing and improving relational, compositional and contextual understanding of large visual-language models (V+L). While large V+L models have achieved success in various downstream tasks, it is not clear... | [
24248,
13978,
37053,
45104
] | Test |
26,363 | 27 | Title: Uncertainty-Aware Self-Supervised Learning for Cross-Domain Technical Skill Assessment in Robot-Assisted Surgery
Abstract: Objective technical skill assessment is crucial for effective training of new surgeons in robot-assisted surgery. With advancements in surgical training programs in both physical and virtual... | [] | Train |
26,364 | 36 | Title: A note on solving the envy-free perfect matching problem with qualities of items
Abstract: In the envy-free perfect matching problem, $n$ items with unit supply are available to be sold to $n$ buyers with unit demand. The objective is to find allocation and prices such that both seller's revenue and buyers' surp... | [] | Test |
26,365 | 9 | Title: Sampling and Certifying Symmetric Functions
Abstract: A circuit $\mathcal{C}$ samples a distribution $\mathbf{X}$ with an error $\epsilon$ if the statistical distance between the output of $\mathcal{C}$ on the uniform input and $\mathbf{X}$ is $\epsilon$. We study the hardness of sampling a uniform distribution ... | [] | Train |
26,366 | 24 | Title: Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs
Abstract: Temporal Graph Learning, which aims to model the time-evolving nature of graphs, has gained increasing attention and achieved remarkable performance recently. However, in reality, graph structures are often incomplete and no... | [
21277,
11149
] | Train |
26,367 | 22 | Title: NeuroQL: A Neuro-Symbolic Language and Dataset for Inter-Subjective Reasoning
Abstract: We present a new AI task and baseline solution for Inter-Subjective Reasoning. We define inter-subjective information, to be a mixture of objective and subjective information possibly shared by different parties. Examples may... | [
634
] | Train |
26,368 | 27 | Title: A new 3-DOF 2T1R parallel mechanism: Topology design and kinematics
Abstract: This article presents a new three-degree-of-freedom (3-DOF) parallel mechanism (PM) with two translations and one rotation (2T1R), designed based on the topological design theory of the parallel mechanism using position and orientation... | [] | Train |
26,369 | 38 | Title: The role of author identities in peer review
Abstract: There is widespread debate on whether to anonymize author identities in peer review. The key argument for anonymization is to mitigate bias, whereas arguments against anonymization posit various uses of author identities in the review process. The Innovation... | [] | Train |
26,370 | 17 | Title: Alternately denoising and reconstructing unoriented point sets
Abstract: nan | [
19325
] | Validation |
26,371 | 30 | Title: Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling
Abstract: Virtual Mental Health Assistants (VMHAs) have become a prevalent method for receiving mental health counseling in the digital healthcare space. An assistive counseling conversation commences with natural open-ended topics t... | [
11929,
6962
] | Train |
26,372 | 16 | Title: S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions
Abstract: Vision-language models, such as contrastive language-image pre-training (CLIP), have demonstrated impressive results in natural image domains. However, these models often struggle when applied to specialized domains like... | [
10624,
41827,
37029,
8719,
5852,
8959
] | Validation |
26,373 | 24 | Title: Scalable Incomplete Multi-View Clustering with Structure Alignment
Abstract: The success of existing multi-view clustering (MVC) relies on the assumption that all views are complete. However, samples are usually partially available due to data corruption or sensor malfunction, which raises the research of incomp... | [
931,
14888,
43401,
34063,
17297,
11093,
45942,
43578,
24286
] | Test |
26,374 | 24 | Title: Conceptual Reinforcement Learning for Language-Conditioned Tasks
Abstract: Despite the broad application of deep reinforcement learning (RL), transferring and adapting the policy to unseen but similar environments is still a significant challenge. Recently, the language-conditioned policy is proposed to facilita... | [
46126
] | Validation |
26,375 | 16 | Title: DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models
Abstract: We propose DAVIS, a Diffusion model-based Audio-VIusal Separation framework that solves the audio-visual sound source separation task through a generative manner. While existing discriminative methods that perform mask regress... | [
31399,
42583
] | Train |
26,376 | 16 | Title: TransDocs: Optical Character Recognition with word to word translation
Abstract: While OCR has been used in various applications, its output is not always accurate, leading to misfit words. This research work focuses on improving the optical character recognition (OCR) with ML techniques with integration of OCR ... | [
17113,
730
] | Train |
26,377 | 24 | Title: Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Abstract: The minimax optimization over Riemannian manifolds (possibly nonconvex constraints) has been actively applied to solve many problems, such as robust dimensionality reduction and deep neural networks with orthogonal weights (Stiefel manif... | [
16793,
2909,
24813
] | Validation |
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