node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
38,778 | 24 | Title: Do Machine Learning Models Learn Statistical Rules Inferred from Data?
Abstract: Machine learning models can make critical errors that are easily hidden within vast amounts of data. Such errors often run counter to rules based on human intuition. However, rules based on human knowledge are challenging to scale o... | [] | Train |
38,779 | 24 | Title: Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Abstract: Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating, and enabling our understanding of natura... | [
40103
] | Test |
38,780 | 30 | Title: New Trends in Machine Translation using Large Language Models: Case Examples with ChatGPT
Abstract: Machine Translation (MT) has made significant progress in recent years using deep learning, especially after the emergence of large language models (LLMs) such as GPT-3 and ChatGPT. This brings new challenges and ... | [
14368,
31648,
37411,
34212,
41318,
35277,
8942,
26670,
12945,
12602,
39451,
4892,
15358
] | Train |
38,781 | 27 | Title: Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators
Abstract: Our goal is to develop an efficient contact detection algorithm for large-scale GPU-based simulation of non-convex objects. Current GPU-based simulators such as IsaacGym and Brax must trade-off sp... | [
14706
] | Train |
38,782 | 13 | Title: Multiobjective Evolutionary Component Effect on Algorithm behavior
Abstract: The performance of multiobjective evolutionary algorithms (MOEAs) varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simplify the development and application of new multiobjective... | [] | Test |
38,783 | 20 | Title: Geometric Hitting Set for Line-Constrained Disks and Related Problems
Abstract: Given a set $P$ of $n$ weighted points and a set $S$ of $m$ disks in the plane, the hitting set problem is to compute a subset $P'$ of points of $P$ such that each disk contains at least one point of $P'$ and the total weight of all ... | [] | Test |
38,784 | 28 | Title: On Sparse Regression LDPC Codes
Abstract: Iterative decoding of graph-based codes and sparse recovery through approximate message passing (AMP) are two research areas that have seen monumental progress in recent decades. Inspired by these advances, this article introduces sparse regression LDPC codes (SR-LDPC co... | [] | Validation |
38,785 | 30 | Title: DUB: Discrete Unit Back-translation for Speech Translation
Abstract: How can speech-to-text translation (ST) perform as well as machine translation (MT)? The key point is to bridge the modality gap between speech and text so that useful MT techniques can be applied to ST. Recently, the approach of representing s... | [
45888,
20220
] | Validation |
38,786 | 27 | Title: Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering
Abstract: Robotic manipulation is critical for admitting robotic agents to various application domains, like intelligent assistance. A major challenge therein is the effective 6DoF grasping of objects in cluttered environmen... | [
2017,
33338,
16037
] | Validation |
38,787 | 30 | Title: Early Warning Signals of Social Instabilities in Twitter Data
Abstract: The goal of this project is to create and study novel techniques to identify early warning signals for socially disruptive events, like riots, wars, or revolutions using only publicly available data on social media. Such techniques need to b... | [] | Train |
38,788 | 24 | Title: DivBO: Diversity-aware CASH for Ensemble Learning
Abstract: The Combined Algorithm Selection and Hyperparameters optimization (CASH) problem is one of the fundamental problems in Automated Machine Learning (AutoML). Motivated by the success of ensemble learning, recent AutoML systems build post-hoc ensembles to ... | [
40663
] | Train |
38,789 | 24 | Title: Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants
Abstract: One of the critical factors that drive the economic development of a country and guarantee the sustainability of its industries is the constant availability of electricity. This is usually provided by the national electric grid... | [] | Test |
38,790 | 24 | Title: Inverse Reinforcement Learning with the Average Reward Criterion
Abstract: We study the problem of Inverse Reinforcement Learning (IRL) with an average-reward criterion. The goal is to recover an unknown policy and a reward function when the agent only has samples of states and actions from an experienced agent.... | [
2907,
39575
] | Train |
38,791 | 3 | Title: Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Abstract: The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to monitor patients with c... | [
6921,
28708,
23119
] | Train |
38,792 | 11 | Title: Developing Multi-Agent Systems with Degrees of Neuro-Symbolic Integration [A Position Paper]
Abstract: In this short position paper we highlight our ongoing work on verifiable heterogeneous multi-agent systems and, in particular, the complex (and often non-functional) issues that impact the choice of structure w... | [] | Train |
38,793 | 13 | Title: Leveraging dendritic properties to advance machine learning and neuro-inspired computing
Abstract: The brain is a remarkably capable and efficient system. It can process and store huge amounts of noisy and unstructured information using minimal energy. In contrast, current artificial intelligence (AI) systems re... | [] | Train |
38,794 | 27 | Title: Implications of Personality on Cognitive Workload, Affect, and Task Performance in Robot Remote Control
Abstract: This paper explores how the personality traits of robot operators can influence their task performance during remote control of robots. It is essential to explore the impact of personal dispositions ... | [
34485
] | Train |
38,795 | 30 | Title: A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models
Abstract: Quantum theory, originally proposed as a physical theory to describe the motions of microscopic particles, has been applied to various non-physics domains involving human cognition and decision-making that are inherently uncertain and e... | [] | Train |
38,796 | 16 | Title: Towards Efficient Visual Adaption via Structural Re-parameterization
Abstract: Parameter-efficient transfer learning (PETL) is an emerging research spot aimed at inexpensively adapting large-scale pre-trained models to downstream tasks. Recent advances have achieved great success in saving storage costs for vari... | [
45568,
32034,
31273,
13805,
42800,
793
] | Validation |
38,797 | 24 | Title: Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration
Abstract: High-risk pregnancy (HRP) is a pregnancy complicated by factors that can adversely affect outcomes of the mother or the infant. Health insurers use algorithms to identify members who would benefit from additio... | [] | Train |
38,798 | 3 | Title: Broadening the perspective for sustainable AI: Comprehensive sustainability criteria and indicators for AI systems
Abstract: The increased use of AI systems is associated with multi-faceted societal, environmental, and economic consequences. These include non-transparent decision-making processes, discrimination... | [
35006
] | Train |
38,799 | 24 | Title: Does Federated Learning Really Need Backpropagation?
Abstract: Federated learning (FL) is a general principle for decentralized clients to train a server model collectively without sharing local data. FL is a promising framework with practical applications, but its standard training paradigm requires the clients... | [
12027
] | Train |
38,800 | 36 | Title: Learning in quantum games
Abstract: In this paper, we introduce a class of learning dynamics for general quantum games, that we call"follow the quantum regularized leader"(FTQL), in reference to the classical"follow the regularized leader"(FTRL) template for learning in finite games. We show that the induced qua... | [] | Train |
38,801 | 30 | Title: Sequential Integrated Gradients: a simple but effective method for explaining language models
Abstract: Several explanation methods such as Integrated Gradients (IG) can be characterised as path-based methods, as they rely on a straight line between the data and an uninformative baseline. However, when applied t... | [
26792,
23602,
40882,
22263
] | Train |
38,802 | 16 | Title: Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
Abstract: Zero-shot video recognition (ZSVR) is a task that aims to recognize video categories that have not been seen during the model training process. Recently, vision-language models (VLMs) pre-trained on large-scale image-text pairs have demo... | [
12221
] | Train |
38,803 | 10 | Title: Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Abstract: An important milestone for AI is the development of algorithms that can produce drawings that are indistinguishable from those of humans. Here, we adapt the 'diversity vs. recognizability' scoring framework from Boutin et ... | [
22386
] | Validation |
38,804 | 28 | Title: Information Energy Ratio of XOR Logic Gate at Mesoscopic Scale
Abstract: As the size of transistors approaches the mesoscopic scale, existing energy consumption analysis methods exhibit various limits, especially when being applied to describe the non-equilibrium information processing of transistors at ultra-lo... | [] | Test |
38,805 | 24 | Title: Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
Abstract: In this paper, we consider an infinite horizon average reward Markov Decision Process (MDP). Distinguishing itself from existing works within this context, our approach harnesses the power of the ... | [] | Validation |
38,806 | 16 | Title: Robust affine point matching via quadratic assignment on Grassmannians
Abstract: Robust Affine matching with Grassmannians (RAG) is a new algorithm to perform affine registration of point clouds. The algorithm is based on minimizing the Frobenius distance between two elements of the Grassmannian. For this purpos... | [] | Test |
38,807 | 37 | Title: Tendencies in Database Learning for Undergraduate Students: Learning In-Depth or Getting the Work Done?
Abstract: This study explores and analyzes the learning tendencies of second-year students enrolled in different lines of study related to the Databases course. There were 79 answers collected from 191 enrolle... | [
22414
] | Validation |
38,808 | 6 | Title: Comparing scalable strategies for generating numerical perspectives
Abstract: Numerical perspectives help people understand extreme and unfamiliar numbers (e.g., \$330 billion is about \$1,000 per person in the United States). While research shows perspectives to be helpful, generating them at scale is challengi... | [] | Test |
38,809 | 27 | Title: A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks
Abstract: This paper presents a multi-layer software architecture to perform cooperative missions with a fleet of quad-rotors providing support in electrical power line inspection operations. The proposed ... | [
4673,
27877,
22599,
33675,
15213,
2229,
28469,
19735,
17849,
45306
] | Train |
38,810 | 5 | Title: Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks
Abstract: Driven by advances in generative artificial intelligence (AI) techniques and algorithms, the widespread adoption of AI-generated content (AIGC) has emerged, allowing for the generation of diverse and hi... | [
1603,
42726,
30925,
1646,
11480,
28666,
22206
] | Train |
38,811 | 30 | Title: Industrial Engineering with Large Language Models: A case study of ChatGPT's performance on Oil & Gas problems
Abstract: Large Language Models (LLMs) have shown great potential in solving complex problems in various fields, including oil and gas engineering and other industrial engineering disciplines like facto... | [
33477,
27944,
39147,
36111,
38449,
26357
] | Validation |
38,812 | 30 | Title: Towards Resolving Word Ambiguity with Word Embeddings
Abstract: Ambiguity is ubiquitous in natural language. Resolving ambiguous meanings is especially important in information retrieval tasks. While word embeddings carry semantic information, they fail to handle ambiguity well. Transformer models have been show... | [] | Train |
38,813 | 16 | Title: Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation
Abstract: With strong representation capabilities, pretrained vision-language models are widely used in vision and language navigation (VLN). However, most of them are trained on web-crawled general-purpose datasets, which incu... | [
634
] | Validation |
38,814 | 25 | Title: On-site Noise Exposure technique for noise-robust machine fault classification
Abstract: In-situ classification of faulty sounds is an important issue in machine health monitoring and diagnosis. However, in a noisy environment such as a factory, machine sound is always mixed up with environmental noises, and noi... | [] | Train |
38,815 | 16 | Title: Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach
Abstract: In supervised image restoration tasks, one key issue is how to obtain the aligned high-quality (HQ) and low-quality (LQ) training image pairs. Unfortunately, such HQ-LQ training pairs are hard to capture in practice, and hard... | [
500,
10492
] | Train |
38,816 | 16 | Title: GuidedMixup: An Efficient Mixup Strategy Guided by Saliency Maps
Abstract: Data augmentation is now an essential part of the image training process, as it effectively prevents overfitting and makes the model more robust against noisy datasets. Recent mixing augmentation strategies have advanced to generate the m... | [] | Train |
38,817 | 24 | Title: N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models
Abstract: Understanding the function of individual neurons within language models is essential for mechanistic interpretability research. We propose $\textbf{Neuron to Graph (N2G)}$, a tool which takes a neuron... | [
22252,
40277
] | Train |
38,818 | 34 | Title: Approximation Ineffectiveness of a Tour-Untangling Heuristic
Abstract: We analyze a tour-uncrossing heuristic for the Travelling Salesperson Problem, showing that its worst-case approximation ratio is $\Omega(n)$ and its average-case approximation ratio is $\Omega(\sqrt{n})$ in expectation. We furthermore evalua... | [] | Test |
38,819 | 16 | Title: JCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization
Abstract: Weakly-supervised temporal action localization aims to localize action instances in untrimmed videos with only video-level supervision. We witness that different actions record common phases, e.g., th... | [] | Test |
38,820 | 4 | Title: Extracting Protocol Format as State Machine via Controlled Static Loop Analysis
Abstract: Reverse engineering of protocol message formats is critical for many security applications. Mainstream techniques use dynamic analysis and inherit its low-coverage problem -- the inferred message formats only reflect the fe... | [] | Train |
38,821 | 4 | Title: How Interactions Influence Users' Security Perception of Virtual Reality Authentication?
Abstract: Users readily embrace the rapid advancements in virtual reality (VR) technology within various everyday contexts, such as gaming, social interactions, shopping, and commerce. In order to facilitate transactions and... | [] | Train |
38,822 | 3 | Title: Want to Raise Cybersecurity Awareness? Start with Future IT Professionals.
Abstract: As cyber threats endanger everyone, from regular users to computing professionals, spreading cybersecurity awareness becomes increasingly critical. Therefore, our university designed an innovative cybersecurity awareness course ... | [] | Train |
38,823 | 16 | Title: Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
Abstract: Recently, Table Structure Recognition (TSR) task, aiming at identifying table structure into machine readable formats, has received increasing interest in the community. While impressive success, mo... | [] | Train |
38,824 | 31 | Title: TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou
Abstract: Life-long user behavior modeling, i.e., extracting a user's hidden interests from rich historical behaviors in months or even years, plays a central role in modern CTR prediction systems. Conventional alg... | [
5313
] | Train |
38,825 | 16 | Title: Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Abstract: Due to the gap between a substitute model and a victim model, the gradient-based noise generated from a substitute model may have low transferability for a victim model since their gradients are different. Inspired by the fact tha... | [] | Test |
38,826 | 34 | Title: On the Node-Averaged Complexity of Locally Checkable Problems on Trees
Abstract: Over the past decade, a long line of research has investigated the distributed complexity landscape of locally checkable labeling (LCL) problems on bounded-degree graphs, culminating in an almost-complete classification on general g... | [] | Train |
38,827 | 28 | Title: Performance Analysis for Hybrid mmWave and THz Networks with Downlink and Uplink Decoupled Cell Association
Abstract: It is expected that B5G/6G networks will exploit both terahertz (THz) and millimetre wave (mmWave) frequency bands and will increase flexibility in user equipment (UE)-cell association. In this p... | [] | Train |
38,828 | 10 | Title: Semantics-enhanced Temporal Graph Networks for Content Popularity Prediction
Abstract: The surging demand for high-definition video streaming services and large neural network models (e.g., Generative Pre-trained Transformer, GPT) implies a tremendous explosion of Internet traffic. To mitigate the traffic pressu... | [] | Train |
38,829 | 16 | Title: MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
Abstract: With the increasing demand for video understanding, video moment and highlight detection (MHD) has emerged as a critical research topic. MHD aims to localize all moments and predict clip-wise saliency scores simultaneously. Desp... | [
27374,
22126
] | Train |
38,830 | 26 | Title: Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media
Abstract: Deploying links to fact-checking websites (so-called"snoping") is a common intervention that can be used by social media users to refute misleading claims. However, its real-world effect may be limited as it suffer... | [
39680,
14354,
1524,
7806
] | Train |
38,831 | 30 | Title: CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
Abstract: We consider the clone detection and information retrieval problems for source code, well-known tasks important for any programming language. Although it is also an important and interesting problem to find code snippe... | [] | Train |
38,832 | 5 | Title: Invited Paper: Initial Steps Toward a Compiler for Distributed Programs
Abstract: In the Hydro project we are designing a compiler toolkit that can optimize for the concerns of distributed systems, including scale-up and scale-down, availability, and consistency of outcomes across replicas. This invited paper ov... | [] | Train |
38,833 | 16 | Title: Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
Abstract: Scene text image super-resolution (STISR), aiming to improve image quality while boosting downstream scene text recognition accuracy, has recently achieved great success. However, most existing methods treat the foregrou... | [] | Train |
38,834 | 24 | Title: Progress measures for grokking via mechanistic interpretability
Abstract: Neural networks often exhibit emergent behavior, where qualitatively new capabilities arise from scaling up the amount of parameters, training data, or training steps. One approach to understanding emergence is to find continuous \textit{p... | [
35713,
13955,
10756,
1298,
6932,
34426,
35096,
45593,
19870,
45471,
36769,
43560,
23085,
4270,
26161,
46002,
28992,
29386,
7758,
5071,
4434,
33365,
29792,
30435,
23269,
27880,
31851,
11633,
2291,
28154,
18428
] | Test |
38,835 | 6 | Title: VIRD: Immersive Match Video Analysis for High-Performance Badminton Coaching
Abstract: Badminton is a fast-paced sport that requires a strategic combination of spatial, temporal, and technical tactics. To gain a competitive edge at high-level competitions, badminton professionals frequently analyze match videos ... | [
13497
] | Train |
38,836 | 30 | Title: Unleashing the Imagination of Text: A Novel Framework for Text-to-image Person Retrieval via Exploring the Power of Words
Abstract: The goal of Text-to-image person retrieval is to retrieve person images from a large gallery that match the given textual descriptions. The main challenge of this task lies in the s... | [
10624,
557
] | Train |
38,837 | 6 | Title: Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
Abstract: Artificial Intelligence (AI), and in particular generative models, are transformative tools for knowledge work. They problematise notions of creativit... | [
2210
] | Train |
38,838 | 30 | Title: Depression detection in social media posts using affective and social norm features
Abstract: We propose a deep architecture for depression detection from social media posts. The proposed architecture builds upon BERT to extract language representations from social media posts and combines these representations ... | [
26225
] | Validation |
38,839 | 5 | Title: Performance of EdDSA and BLS Signatures in Committee-Based Consensus
Abstract: We present the first performance comparison of EdDSA and BLS signatures in committee-based consensus protocols through large-scale geo-distributed benchmarks. Contrary to popular beliefs, we find that small deployments (less than 40 v... | [
15008
] | Validation |
38,840 | 30 | Title: Expectations over Unspoken Alternatives Predict Pragmatic Inferences
Abstract: Abstract Scalar inferences (SI) are a signature example of how humans interpret language based on unspoken alternatives. While empirical studies have demonstrated that human SI rates are highly variable—both within instances of a sing... | [
8493,
13495
] | Validation |
38,841 | 27 | Title: Learning Generalizable Tool Use with Non-rigid Grasp-pose Registration
Abstract: Tool use, a hallmark feature of human intelligence, remains a challenging problem in robotics due the complex contacts and high-dimensional action space. In this work, we present a novel method to enable reinforcement learning of to... | [
42292
] | Test |
38,842 | 5 | Title: FaST-GShare: Enabling Efficient Spatio-Temporal GPU Sharing in Serverless Computing for Deep Learning Inference
Abstract: Serverless computing (FaaS) has been extensively utilized for deep learning (DL) inference due to the ease of deployment and pay-per-use benefits. However, existing FaaS platforms utilize GPU... | [] | Test |
38,843 | 16 | Title: Refined Pseudo labeling for Source-free Domain Adaptive Object Detection
Abstract: Domain adaptive object detection (DAOD) assumes that both labeled source data and unlabeled target data are available for training, but this assumption does not always hold in real-world scenarios. Thus, source-free DAOD is propos... | [
43608
] | Train |
38,844 | 16 | Title: AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation
Abstract: Self-supervised masked image modeling has shown promising results on natural images. However, directly applying such methods to medical images remains challenging. This difficulty stems from the complexity and distinct... | [
41221
] | Train |
38,845 | 36 | Title: Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations
Abstract: We consider the problem of guaranteeing a fraction of the maximin-share (MMS) when allocating a set of indivisible items to a set of agents with fractionally subadditive (XOS) valuations. For XOS valuation... | [
25118,
11338,
3056,
24221,
42142
] | Validation |
38,846 | 16 | Title: TaleCrafter: Interactive Story Visualization with Multiple Characters
Abstract: Accurate Story visualization requires several necessary elements, such as identity consistency across frames, the alignment between plain text and visual content, and a reasonable layout of objects in images. Most previous works ende... | [
4481,
33220,
35940,
2633,
15021,
15983,
29396,
41146,
3067,
18205
] | Train |
38,847 | 27 | Title: Swift progress for robots over complex terrain
Abstract: nan | [] | Train |
38,848 | 38 | Title: Who Re-Uses Data? A Bibliometric Analysis of Dataset Citations
Abstract: Open data is receiving increased attention and support in academic environments, with one justification being that shared data may be re-used in further research. But what evidence exists for such re-use, and what is the relationship betwee... | [
39281
] | Train |
38,849 | 30 | Title: ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
Abstract: Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments... | [
44419,
17668,
13189,
6535,
19720,
44441,
39834,
43930,
4892,
44189,
21921,
38950,
36903,
13224,
17577,
16555,
9775,
39600,
32309,
24886,
13495,
13239,
12087,
12602,
38199,
41782,
24003,
10564,
38856,
15049,
2764,
31189,
14422,
22998,
2008,
35545,... | Train |
38,850 | 24 | Title: SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees
Abstract: nan | [] | Test |
38,851 | 24 | Title: Population Age Group Sensitivity for COVID-19 Infections with Deep Learning
Abstract: The COVID-19 pandemic has created unprecedented challenges for governments and healthcare systems worldwide, highlighting the critical importance of understanding the factors that contribute to virus transmission. This study ai... | [] | Validation |
38,852 | 24 | Title: PDP: Parameter-free Differentiable Pruning is All You Need
Abstract: DNN pruning is a popular way to reduce the size of a model, improve the inference latency, and minimize the power consumption on DNN accelerators. However, existing approaches might be too complex, expensive or ineffective to apply to a variety... | [] | Train |
38,853 | 16 | Title: InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation
Abstract: Automatic image captioning evaluation is critical for benchmarking and promoting advances in image captioning research. Existing metrics only provide a single score to measure caption qualities, which are less explainable and ... | [
5361
] | Validation |
38,854 | 16 | Title: Autonomous damage assessment of structural columns using low-cost micro aerial vehicles and multi-view computer vision
Abstract: Structural columns are the crucial load-carrying components of buildings and bridges. Early detection of column damage is important for the assessment of the residual performance and t... | [] | Train |
38,855 | 28 | Title: Algorithmic Computability of the Capacity of Gaussian Channels with Colored Noise
Abstract: Designing capacity-achieving coding schemes for the band-limited additive colored Gaussian noise (ACGN) channel has been and is still a challenge. In this paper, the capacity of the band-limited ACGN channel is studied fr... | [] | Train |
38,856 | 30 | Title: Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT
Abstract: ChatGPT has shown the potential of emerging general artificial intelligence capabilities, as it has demonstrated competent performance across many natural language processing tasks. In this work, we eva... | [
12128,
38849,
40192,
20228,
22503,
11273,
34892,
10221,
44173,
31956,
1269,
30974,
13239,
44758,
37242,
6942,
34207
] | Train |
38,857 | 30 | Title: RestGPT: Connecting Large Language Models with Real-World RESTful APIs
Abstract: Tool-augmented large language models (LLMs) have achieved remarkable progress in tackling a broad range of tasks. However, existing methods are mainly restricted to specifically designed tools and fail to fulfill complex instruction... | [
7936,
27138,
33477,
22023,
14920,
10510,
6963,
33853,
19671,
3609,
634,
29757,
3967
] | Train |
38,858 | 16 | Title: Generative Pretraining in Multimodality
Abstract: We present Emu, a Transformer-based multimodal foundation model, which can seamlessly generate images and texts in multimodal context. This omnivore model can take in any single-modality or multimodal data input indiscriminately (e.g., interleaved image, text and... | [
10624,
13700,
37765,
41104,
1952,
30243,
32690,
40884,
15413,
36537,
9403,
24259,
7384,
11745,
37987,
16878,
29559,
23285,
32247,
13564
] | Test |
38,859 | 6 | Title: Advances on mechanical designs for assistive ankle-foot orthoses
Abstract: Assistive ankle-foot orthoses (AAFOs) are powerful solutions to assist or rehabilitate gait on humans. Existing AAFO technologies include passive, quasi-passive, and active principles to provide assistance to the users, and their mechanic... | [] | Test |
38,860 | 24 | Title: Cooperation Is All You Need
Abstract: Going beyond 'dendritic democracy', we introduce a 'democracy of local processors', termed Cooperator. Here we compare their capabilities when used in permutation-invariant neural networks for reinforcement learning (RL), with machine learning algorithms based on Transformer... | [] | Train |
38,861 | 24 | Title: Personalized Decentralized Federated Learning with Knowledge Distillation
Abstract: Personalization in federated learning (FL) functions as a coordinator for clients with high variance in data or behavior. Ensuring the convergence of these clients' models relies on how closely users collaborate with those with s... | [
6241
] | Test |
38,862 | 16 | Title: Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network
Abstract: Face Recognition System (FRS) are shown to be vulnerable to morphed images of newborns. Detecting morphing attacks stemming from face images of newborn is important to avoid unwanted consequences, both for security and so... | [] | Validation |
38,863 | 24 | Title: Deep-OSG: Deep Learning of Operators in Semigroup
Abstract: This paper proposes a novel deep learning approach for learning operators in semigroup, with applications to modeling unknown autonomous dynamical systems using time series data collected at varied time lags. It is a sequel to the previous flow map lear... | [
15291,
32093
] | Train |
38,864 | 16 | Title: Visibility Enhancement for Low-light Hazy Scenarios
Abstract: Low-light hazy scenes commonly appear at dusk and early morning. The visual enhancement for low-light hazy images is an ill-posed problem. Even though numerous methods have been proposed for image dehazing and low-light enhancement respectively, simpl... | [] | Test |
38,865 | 7 | Title: Physics-Informed and Data-Driven Discovery of Governing Equations for Complex Phenomena in Heterogeneous Media
Abstract: Rapid evolution of sensor technology, advances in instrumentation, and progress in devising data-acquisition softwares/hardwares are providing vast amounts of data for various complex phenomen... | [] | Train |
38,866 | 36 | Title: Convergence analysis and acceleration of the smoothing methods for solving extensive-form games
Abstract: The extensive-form game has been studied considerably in recent years. It can represent games with multiple decision points and incomplete information, and hence it is helpful in formulating games with uncer... | [] | Validation |
38,867 | 16 | Title: A review of UAV Visual Detection and Tracking Methods
Abstract: This paper presents a review of techniques used for the detection and tracking of UAVs or drones. There are different techniques that depend on collecting measurements of the position, velocity, and image of the UAV and then using them in detection ... | [] | Test |
38,868 | 30 | Title: GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Abstract: Noticing the urgent need to provide tools for fast and user-friendly qualitative analysis of large-scale textual corpora of the modern NLP, we propose to turn to the mature and well-tested methods from the domain ... | [
23898,
13700
] | Validation |
38,869 | 23 | Title: Assurance for Autonomy – JPL’s past research, lessons learned, and future directions
Abstract: Robotic space missions have long depended on automation, defined in the 2015 NASA Technology Roadmaps as “the automatically-controlled operation of an apparatus, process, or system using a pre-planned set of instructio... | [] | Train |
38,870 | 3 | Title: JusticeBot: A Methodology for Building Augmented Intelligence Tools for Laypeople to Increase Access to Justice
Abstract: Laypeople (i.e. individuals without legal training) may often have trouble resolving their legal problems. In this work, we present the JusticeBot methodology. This methodology can be used to... | [
20757,
16430
] | Test |
38,871 | 30 | Title: A Two-Stage Decoder for Efficient ICD Coding
Abstract: Clinical notes in healthcare facilities are tagged with the International Classification of Diseases (ICD) code; a list of classification codes for medical diagnoses and procedures. ICD coding is a challenging multilabel text classification problem due to no... | [] | Test |
38,872 | 16 | Title: Lithium Metal Battery Quality Control via Transformer–CNN Segmentation
Abstract: Lithium metal battery (LMB) has the potential to be the next-generation battery system because of its high theoretical energy density. However, defects known as dendrites are formed by heterogeneous lithium (Li) plating, which hinde... | [] | Train |
38,873 | 30 | Title: Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging
Abstract: Massively multilingual language models have displayed strong performance in zero-shot (ZS-XLT) and few-shot (FS-XLT) cross-lingual transfer setups, where models fine-tuned on task data in a source language are transferred without ... | [] | Train |
38,874 | 30 | Title: An Interactive Framework for Profiling News Media Sources
Abstract: The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the sources that spread this news is important to maintain a healthy... | [
12128,
17153,
40192,
33220,
5926,
35445
] | Train |
38,875 | 16 | Title: Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations
Abstract: There are many ways of interpreting the world and they are highly interdependent. We exploit such complex dependencies and introduce a powerful multi-task hypergraph, in which every node is a task and different paths through t... | [] | Train |
38,876 | 16 | Title: Exploring Part-Informed Visual-Language Learning for Person Re-Identification
Abstract: Recently, visual-language learning has shown great potential in enhancing visual-based person re-identification (ReID). Existing visual-language learning-based ReID methods often focus on whole-body scale image-text feature a... | [
41073,
24675
] | Train |
38,877 | 6 | Title: Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method
Abstract: How to better reduce measurement variability and bias introduced by subjectivity in crowdsourced labelling remains an open question. We introduce a theoretical framework for under... | [] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.