Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
33,078	24	Title: Hierarchical Federated Learning Incentivization for Gas Usage Estimation Abstract: Accurately estimating gas usage is essential for the efficient functioning of gas distribution networks and saving operational costs. Traditional methods rely on centralized data processing, which poses privacy risks. Federated le...	[ 2962, 23974 ]	Train
33,079	18	Title: Design and simulation of memristor-based neural networks Abstract: In recent times, neural networks have been gaining increasing importance in fields such as pattern recognition and computer vision. However, their usage entails significant energy and hardware costs, limiting the domains in which this technology ...	[]	Train
33,080	28	Title: Secrecy of Opportunistic User Scheduling in RIS-Aided Systems: A Comparison with NOMA Scheduling Abstract: In this paper, we propose an opportunistic user scheduling scheme in a multi-user reconfigurable intelligent surface (RIS) aided wireless system to improve secrecy. We derive the secrecy outage probability ...	[]	Validation
33,081	3	Title: Concept of Delivery System in the Smart City Environment Abstract: Regarding to the smart city infrastructures, there is a demand for big data processing and its further usage. This data can be gained by various means. There are many IoT devices in the city, which can communicate and share the information about ...	[]	Validation
33,082	16	Title: Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach Abstract: The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments. Recognizing this need, we introdu...	[ 23730, 30339 ]	Test
33,083	24	Title: Importance attribution in neural networks by means of persistence landscapes of time series Abstract: nan	[]	Train
33,084	24	Title: On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation Abstract: A common technique in reinforcement learning is to evaluate the value function from Monte Carlo simulations of a given policy, and use the estimated value function to obtain a new policy which is gree...	[ 18246 ]	Train
33,085	4	Title: Edge Deep Learning Model Protection via Neuron Authorization Abstract: With the development of deep learning processors and accelerators, deep learning models have been widely deployed on edge devices as part of the Internet of Things. Edge device models are generally considered as valuable intellectual properti...	[]	Test
33,086	23	Title: Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing Abstract: Mobile apps are indispensable for people's daily life, and automated GUI (Graphical User Interface) testing is widely used for app quality assurance. There is a growing interest in using learning-based techniques for automated GU...	[ 22097, 35130 ]	Test
33,087	28	Title: Competitive Channel-Capacity Abstract: We consider communication over channels whose statistics are not known in full, but can be parameterized as a finite family of memoryless channels. A typical approach to address channel uncertainty is to design codes for the worst channel in the family, resulting in the wel...	[]	Train
33,088	16	Title: RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters Abstract: Novel view synthesis (NVS) is a challenging task in computer vision that involves synthesizing new views of a scene from a limited set of input images. Neural Radiance Fields (NeRF) have emerged as a power...	[ 37769, 27023 ]	Train
33,089	4	Title: Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains Abstract: In permissionless blockchains, transaction issuers include a fee to incentivize miners to include their transactions. To accurately estimate this prioritization fee for a t...	[ 32337 ]	Train
33,090	3	Title: Learner-Centered Analysis in Educational Metaverse Environments: Exploring Value Exchange Systems through Natural Interaction and Text Mining Abstract: Amid Education 4.0 and the Fourth Industrial Revolution, we explore the integration of self-directed learning within the metaverse. This study envisions empowere...	[ 16963, 20967 ]	Train
33,091	28	Title: Influences of some families of error-correcting codes Abstract: Binary codes of length $n$ may be viewed as subsets of vertices of the Boolean hypercube $\{0,1\}^n$. The ability of a linear error-correcting code to recover erasures is connected to influences of particular monotone Boolean functions. These functi...	[]	Train
33,092	24	Title: Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem Abstract: Vertical federated learning (VFL) is a promising approach for collaboratively training machine learning models using private data partitioned vertically across different parties. Ideally in a VFL setting, the active party (...	[]	Train
33,093	16	Title: Mediapipe and CNNs for Real-Time ASL Gesture Recognition Abstract: This research paper describes a realtime system for identifying American Sign Language (ASL) movements that employs modern computer vision and machine learning approaches. The suggested method makes use of the Mediapipe library for feature extrac...	[]	Train
33,094	27	Title: Control Barrier Function-based Predictive Control for Close Proximity operation of UAVs inside a Tunnel Abstract: This paper introduces a method for effectively controlling the movement of an Unmanned Aerial Vehicle (UAV) within a tunnel. The primary challenge of this problem lies in the UAV's exposure to nonlin...	[]	Train
33,095	31	Title: Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning Abstract: Human-annotated data plays a critical role in the fairness of AI systems, including those that deal with life-altering decisions or moderating human-created web/social media content. Co...	[ 35627 ]	Validation
33,096	24	Title: Practical First-Order Bayesian Optimization Algorithms Abstract: First Order Bayesian Optimization (FOBO) is a sample efficient sequential approach to find the global maxima of an expensive-to-evaluate black-box objective function by suitably querying for the function and its gradient evaluations. Such methods a...	[ 20328 ]	Train
33,097	24	Title: Concept-Level Explanation for the Generalization of a DNN Abstract: This paper explains the generalization power of a deep neural network (DNN) from the perspective of interactive concepts. Many recent studies have quantified a clear emergence of interactive concepts encoded by the DNN, which have been observed ...	[ 4705, 43766 ]	Validation
33,098	16	Title: Adaptive Context Selection for Polyp Segmentation Abstract: nan	[ 24992, 23266, 44804, 44651, 35979, 7507, 27731, 13973, 29270, 33178, 22141 ]	Train
33,099	16	Title: BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios Abstract: Depth estimation is a cornerstone of perception in autonomous driving and robotic systems. The considerable cost and relatively sparse data acquisition of LiDAR systems have led to the exploration of co...	[ 41125 ]	Train
33,100	16	Title: Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets Abstract: The development of remote sensing and deep learning techniques has enabled building semantic segmentation with high accuracy and efficiency. Desp...	[]	Validation
33,101	30	Title: Document Provenance and Authentication through Authorship Classification Abstract: Style analysis, which is relatively a less explored topic, enables several interesting applications. For instance, it allows authors to adjust their writing style to produce a more coherent document in collaboration. Similarly, st...	[]	Train
33,102	10	Title: Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation Abstract: Clinicians prescribe antibiotics by looking at the patient's health record with an experienced eye. However, the therapy might be rendered futile if the patient has drug resistance. Determining drug resistance requ...	[]	Train
33,103	25	Title: TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization Abstract: Recently, end-to-end neural diarization (EEND) is introduced and achieves promising results in speaker-overlapped scenarios. In EEND, speaker diarization is formulated as a multi-label prediction problem, where speaker activities a...	[ 25770 ]	Train
33,104	30	Title: ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning Abstract: Human-AI interactivity is a critical aspect that reflects the usability of multimodal large language models (MLLMs). However, existing end-to-end MLLMs only allow users to interact with them through language instructions, ...	[ 10624, 19747, 13700, 30243, 13510, 22023, 37987, 14928, 41104, 29527, 3609, 18621, 1854 ]	Validation
33,105	24	Title: Multi-output Headed Ensembles for Product Item Classification Abstract: In this paper, we revisit the problem of product item classification for large-scale e-commerce catalogs. The taxonomy of e-commerce catalogs consists of thousands of genres to which are assigned items that are uploaded by merchants on a con...	[]	Train
33,106	24	Title: Solar Power Prediction Using Machine Learning Abstract: This paper presents a machine learning-based approach for predicting solar power generation with high accuracy using a 99% AUC (Area Under the Curve) metric. The approach includes data collection, pre-processing, feature selection, model selection, training...	[]	Train
33,107	30	Title: COFFEE: A Contrastive Oracle-Free Framework for Event Extraction Abstract: Event extraction is a complex task that involves extracting events from unstructured text. Prior classification-based methods require comprehensive entity annotations for joint training, while newer generation-based methods rely on heuris...	[ 9775 ]	Train
33,108	31	Title: Denoising Attention for Query-aware User Modeling in Personalized Search Abstract: The personalization of search results has gained increasing attention in the past few years, thanks to the development of Neural Networks-based approaches for Information Retrieval and the importance of personalization in many sea...	[]	Train
33,109	16	Title: Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization Abstract: In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. The motion dataset uses an industrial-standard human bone structure and thus is industry-ready to be plugged into 3D charact...	[]	Train
33,110	13	Title: Connected Hidden Neurons (CHNNet): An Artificial Neural Network for Rapid Convergence Abstract: The core purpose of developing artificial neural networks was to mimic the functionalities of biological neural networks. However, unlike biological neural networks, traditional artificial neural networks are often st...	[]	Train
33,111	31	Title: The Effect of Third Party Implementations on Reproducibility Abstract: Reproducibility of recommender systems research has come under scrutiny during recent years. Along with works focusing on repeating experiments with certain algorithms, the research community has also started discussing various aspects of eva...	[]	Train
33,112	24	Title: Adversarial Likelihood Estimation with One-way Flows Abstract: Generative Adversarial Networks (GANs) can produce high-quality samples, but do not provide an estimate of the probability density around the samples. However, it has been noted that maximizing the log-likelihood within an energy-based setting can le...	[]	Test
33,113	16	Title: Semi-Weakly Supervised Object Kinematic Motion Prediction Abstract: Given a 3D object, kinematic motion prediction aims to identify the mobile parts as well as the corresponding motion parameters. Due to the large variations in both topological structure and geometric details of 3D objects, this remains a challe...	[ 34000, 13382 ]	Train
33,114	28	Title: Direct Constructions of Multiple Shift Complementary Sets of Flexible Lengths Abstract: Golay complementary set (GCS) plays a vital role in reducing peak-to-mean envelope power ratio (PMEPR) in orthogonal frequency division multiplexing (OFDM). A more general version of GCS is a multiple shift complementary set ...	[]	Validation
33,115	10	Title: Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning Abstract: The Abstraction and Reasoning Corpus (ARC) (Chollet, 2019) and its most recent language-complete instantiation (LARC) has been postulated as an important step towards general AI. Yet, even state-o...	[]	Train
33,116	23	Title: The State of Disappearing Frameworks in 2023 Abstract: Disappearing frameworks represent a new type of thinking for web development. In the current mainstream JavaScript frameworks, the focus has been on developer experience at the cost of user experience. Disappearing frameworks shift the focus by aiming to del...	[ 2045 ]	Train
33,117	23	Title: A Dataset of Android Libraries Abstract: Android app developers extensively employ code reuse, integrating many third-party libraries into their apps. While such integration is practical for developers, it can be challenging for static analyzers to achieve scalability and precision when such libraries can accoun...	[]	Test
33,118	30	Title: A Cross-Linguistic Pressure for Uniform Information Density in Word Order Abstract: Abstract While natural languages differ widely in both canonical word order and word order flexibility, their word orders still follow shared cross-linguistic statistical patterns, often attributed to functional pressures. In the...	[]	Train
33,119	6	Title: Who are CUIs Really For? Representation and Accessibility in the Conversational User Interface Literature Abstract: The theme for CUI 2023 is ‘designing for inclusive conversation’, but who are CUIs really designed for? The field has its roots in computer science, which has a long acknowledged diversity problem....	[]	Test
33,120	30	Title: Architext: Language-Driven Generative Architecture Design Abstract: Architectural design is a highly complex practice that involves a wide diversity of disciplines, technologies, proprietary design software, expertise, and an almost infinite number of constraints, across a vast array of design tasks. Enabling in...	[ 17938, 15023 ]	Validation
33,121	10	Title: Automatic Extraction of Relevant Road Infrastructure using Connected vehicle data and Deep Learning Model Abstract: In today's rapidly evolving urban landscapes, efficient and accurate mapping of road infrastructure is critical for optimizing transportation systems, enhancing road safety, and improving the overa...	[]	Test
33,122	27	Title: Enhancing Navigation Benchmarking and Perception Data Generation for Row-based Crops in Simulation Abstract: Service robotics is recently enhancing precision agriculture enabling many automated processes based on efficient autonomous navigation solutions. However, data generation and infield validation campaigns...	[ 3528 ]	Validation
33,123	17	Title: Iterative α -(de)Blending: a Minimalist Deterministic Diffusion Model Abstract: We derive a minimalist but powerful deterministic denoising-diffusion model. While denoising diffusion has shown great success in many domains, its underlying theory remains largely inaccessible to non-expert users. Indeed, an unders...	[]	Validation
33,124	26	Title: Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network Abstract: In the user targeting and expanding of new shows on a video platform, the key point is how their embeddings are generated. It's supposed to be personalized from the perspective of both users and shows. Furth...	[]	Validation
33,125	16	Title: SLIC: Large Receptive Field Learning with Self-Conditioned Adaptability for Learned Image Compression Abstract: Recently, transformers are trending as replacements for CNNs in vision tasks, including compression. This trend compels us to question the inherent limitations of CNNs compared to transformers and to e...	[ 3742 ]	Train
33,126	31	Title: STIR: Siamese Transformer for Image Retrieval Postprocessing Abstract: Current metric learning approaches for image retrieval are usually based on learning a space of informative latent representations where simple approaches such as the cosine distance will work well. Recent state of the art methods such as Hyp...	[]	Train
33,127	10	Title: Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering Abstract: The final frontier for simulation is the accurate representation of complex, real-world social systems. While agent-based modeling (ABM) seeks to study the behavior and interactions of agents within a la...	[ 43641, 39873, 16556 ]	Train
33,128	16	Title: Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets Abstract: To investigate the well-observed racial disparities in computer vision systems that analyze images of humans, researchers have turned to skin tone as a more objective annotation than race metadata for ...	[ 25054 ]	Train
33,129	30	Title: Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding Abstract: Fine-tuning is widely used as the default algorithm for transfer learning from pre-trained models. Parameter inefficiency can however arise when, during transfer learning, all the parameters of a larg...	[ 22245 ]	Test
33,130	15	Title: Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks Abstract: Graph Convolutional Networks (GCNs) are pivotal in extracting latent information from graph data across various domains, yet their acceleration on mainstream GPUs is challenged by workload imbalance and memory access irre...	[ 24391 ]	Test
33,131	26	Title: Analysis of Media Writing Style Bias through Text-Embedding Networks Abstract: With the rise of phenomena like `fake news' and the growth of heavily-biased media ecosystems, there has been increased attention on understanding and evaluating media bias. Of particular note in the evaluation of media bias is writin...	[]	Test
33,132	24	Title: Debiasing Recommendation by Learning Identifiable Latent Confounders Abstract: Recommendation systems aim to predict users' feedback on items not exposed to them yet. Confounding bias arises due to the presence of unmeasured variables (e.g., the socio-economic status of a user) that can affect both a user's expo...	[ 26792 ]	Train
33,133	24	Title: Uncovering Adversarial Risks of Test-Time Adaptation Abstract: Recently, test-time adaptation (TTA) has been proposed as a promising solution for addressing distribution shifts. It allows a base model to adapt to an unforeseen distribution during inference by leveraging the information from the batch of (unlabel...	[ 43608 ]	Train
33,134	24	Title: Behavior Contrastive Learning for Unsupervised Skill Discovery Abstract: In reinforcement learning, unsupervised skill discovery aims to learn diverse skills without extrinsic rewards. Previous methods discover skills by maximizing the mutual information (MI) between states and skills. However, such an MI object...	[ 1819 ]	Train
33,135	16	Title: Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA Abstract: In this paper, we propose a novel multi-modal framework for Scene Text Visual Question Answering (STVQA), which requires models to read scene text in images for question answering. Apart from text or visual objects,...	[]	Test
33,136	16	Title: Adaptive Superpixel for Active Learning in Semantic Segmentation Abstract: Learning semantic segmentation requires pixel-wise annotations, which can be time-consuming and expensive. To reduce the annotation cost, we propose a superpixel-based active learning (AL) framework, which collects a dominant label per su...	[]	Train
33,137	16	Title: Class-Balancing Diffusion Models Abstract: Diffusion-based models have shown the merits of generating high-quality visual data while preserving better diversity in recent studies. However, such observation is only justified with curated data distribution, where the data samples are nicely pre-processed to be uni...	[]	Train
33,138	10	Title: Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules Abstract: Reliable real-world deployment of reinforcement learning (RL) methods requires a nuanced understanding of their strengths and weaknesses and how they compare to those of humans. Human-machine systems are becoming more pr...	[]	Train
33,139	24	Title: Policy Learning based on Deep Koopman Representation Abstract: This paper proposes a policy learning algorithm based on the Koopman operator theory and policy gradient approach, which seeks to approximate an unknown dynamical system and search for optimal policy simultaneously, using the observations gathered th...	[]	Train
33,140	30	Title: Media of Langue Abstract: This paper aims to archive the materials behind"Media of Langue"by Goki Muramoto et al. Media of Langue is a new dictionary and public sculpture that depicts the map of meaning on the boundary between languages solely from the vast events of"this word was translated into that word"and t...	[]	Validation
33,141	24	Title: Unit Scaling: Out-of-the-Box Low-Precision Training Abstract: We present unit scaling, a paradigm for designing deep learning models that simplifies the use of low-precision number formats. Training in FP16 or the recently proposed FP8 formats offers substantial efficiency gains, but can lack sufficient range fo...	[ 15345 ]	Validation
33,142	27	Title: Decentralized Multi-Robot Social Navigation in Constrained Environments via Game-Theoretic Control Barrier Functions Abstract: We present an approach to ensure safe and deadlock-free navigation for decentralized multi-robot systems operating in constrained environments, including doorways and intersections. Alth...	[ 27346, 2628, 43837 ]	Train
33,143	16	Title: Drone navigation and license place detection for vehicle location in indoor spaces Abstract: Millions of vehicles are transported every year, tightly parked in vessels or boats. To reduce the risks of associated safety issues like fires, knowing the location of vehicles is essential, since different vehicles may...	[]	Train
33,144	8	Title: UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels Abstract: Unmanned Aerial Vehicles (UAVs) offer promising potential as communications node carriers, providing on-demand wireless connectivity to users. While existing literature presents various wireless channel models, it of...	[]	Test
33,145	30	Title: Still no evidence for an effect of the proportion of non-native speakers on language complexity - A response to Kauhanen, Einhaus & Walkden (2023) Abstract: In a recent paper published in the Journal of Language Evolution, Kauhanen, Einhaus&Walkden (https://doi.org/10.1093/jole/lzad005, KEW) challenge the result...	[]	Train
33,146	24	Title: Pelta: shielding transformers to mitigate evasion attacks in federated learning Abstract: The main premise of federated learning is that machine learning model updates are computed locally, in particular to preserve user data privacy, as those never leave the perimeter of their device. This mechanism supposes th...	[]	Train
33,147	10	Title: Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach Abstract: Recent breakthroughs in generative artificial intelligence have triggered a surge in demand for machine learning training, which poses significant cost burdens and environmental challenge...	[ 30925 ]	Validation
33,148	24	Title: Federated Domain Generalization: A Survey Abstract: Machine learning typically relies on the assumption that training and testing distributions are identical and that data is centrally stored for training and testing. However, in real-world scenarios, distributions may differ significantly and data is often dist...	[ 18592, 24897 ]	Train
33,149	24	Title: Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment Abstract: —The Internet of Things (IoT) is a system that connects physical computing devices, sensors, software, and other technologies. Data can be collected, transferred, and exchanged with other devic...	[ 29263 ]	Train
33,150	25	Title: CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model Abstract: Denoising diffusion probabilistic models (DDPMs) have shown promising performance for speech synthesis. However, a large number of iterative steps are required to achieve high sample quality, which restricts the inference spe...	[ 21152, 4481, 27508, 26158 ]	Train
33,151	24	Title: Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory Abstract: Split learning is a privacy-preserving distributed learning paradigm in which an ML model (e.g., a neural network) is split into two parts (i.e., an encoder and a decoder)....	[]	Test
33,152	27	Title: FR-LIO: Fast and Robust Lidar-Inertial Odometry by Tightly-Coupled Iterated Kalman Smoother and Robocentric Voxels Abstract: This paper presents a fast lidar-inertial odometry (LIO) that is robust to aggressive motion. To achieve robust tracking in aggressive motion scenes, we exploit the continuous scanning pro...	[]	Test
33,153	24	Title: Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Abstract: Algorithmic bias often arises as a result of differential subgroup validity, in which predictive relationships vary across groups. For example, in toxic language detection, comments targeting different...	[ 9536, 24841, 10269 ]	Train
33,154	24	Title: A Definition of Non-Stationary Bandits Abstract: Despite the subject of non-stationary bandit learning having attracted much recent attention, we have yet to identify a formal definition of non-stationarity that can consistently distinguish non-stationary bandits from stationary ones. Prior work has characterize...	[ 28561, 18679, 38777, 847 ]	Train
33,155	24	Title: Neural Multi-network Diffusion towards Social Recommendation Abstract: Graph Neural Networks (GNNs) have been widely applied on a variety of real-world applications, such as social recommendation. However, existing GNN-based models on social recommendation suffer from serious problems of generalization and overs...	[]	Train
33,156	13	Title: NeuSort: an automatic adaptive spike sorting approach with neuromorphic models Abstract: Objective. Spike sorting, a critical step in neural data processing, aims to classify spiking events from single electrode recordings based on different waveforms. This study aims to develop a novel online spike sorter, NeuS...	[ 40917 ]	Validation
33,157	16	Title: SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference Abstract: Medical images like CT and MRI provide detailed information about the internal structure of the body, and identifying key anatomical structures from these images plays a crucial role in clinical workflows. Current me...	[]	Train
33,158	26	Title: Using deterministic tourist walk as a small-world metric on Watts-Strogatz networks Abstract: nan	[]	Train
33,159	31	Title: Instant Representation Learning for Recommendation over Large Dynamic Graphs Abstract: Recommender systems are able to learn user preferences based on user and item representations via their historical behaviors. To improve representation learning, recent recommendation models start leveraging information from v...	[ 14602 ]	Train
33,160	16	Title: RoadScan: A Novel and Robust Transfer Learning Framework for Autonomous Pothole Detection in Roads Abstract: This research paper presents a novel approach to pothole detection using Deep Learning and Image Processing techniques. The proposed system leverages the VGG16 model for feature extraction and utilizes a ...	[]	Test
33,161	24	Title: Privileged Knowledge Distillation for Sim-to-Real Policy Generalization Abstract: Reinforcement Learning (RL) has recently achieved remarkable success in robotic control. However, most RL methods operate in simulated environments where privileged knowledge (e.g., dynamics, surroundings, terrains) is readily avai...	[ 7535 ]	Train
33,162	16	Title: UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity Abstract: Image reconstruction and captioning from brain activity evoked by visual stimuli allow researchers to further understand the connection between the human brain and the visual perception system. Whil...	[]	Train
33,163	6	Title: Addressing UX Practitioners’ Challenges in Designing ML Applications: an Interactive Machine Learning Approach Abstract: UX practitioners face novel challenges when designing user interfaces for machine learning (ML)-enabled applications. Interactive ML paradigms, like AutoML and interactive machine teaching, lo...	[]	Train
33,164	30	Title: Code-Style In-Context Learning for Knowledge-Based Question Answering Abstract: Current methods for Knowledge-Based Question Answering (KBQA) usually rely on complex training techniques and model frameworks, leading to many limitations in practical applications. Recently, the emergence of In-Context Learning (IC...	[ 14272, 40192, 7125, 41191 ]	Validation
33,165	30	Title: Distinguishability Calibration to In-Context Learning Abstract: Recent years have witnessed increasing interests in prompt-based learning in which models can be trained on only a few annotated instances, making them suitable in low-resource settings. It is even challenging in fine-grained classification as the p...	[]	Train
33,166	24	Title: Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models Abstract: Foundation Models (FMs), such as BERT, GPT, ViT, and CLIP, have demonstrated remarkable success in a wide range of applications, driven by their ability to leverage vast amounts of data for pre-training. However...	[ 30320, 1610, 24951 ]	Train
33,167	11	Title: Inferring epidemic dynamics using Gaussian process emulation of agent-based simulations Abstract: Computational models help decision makers understand epidemic dynamics to optimize public health interventions. Agent-based simulation of disease spread in synthetic populations allows us to compare and contrast dif...	[]	Train
33,168	24	Title: A Heterogeneous Parallel Non-von Neumann Architecture System for Accurate and Efficient Machine Learning Molecular Dynamics Abstract: This paper proposes a special-purpose system to achieve high-accuracy and high-efficiency machine learning (ML) molecular dynamics (MD) calculations. The system consists of field ...	[]	Test
33,169	16	Title: Learning Garment DensePose for Robust Warping in Virtual Try-On Abstract: Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications. Current virtual try-on methods usually work in a two-stage pipeline. First, the garment image i...	[]	Train
33,170	2	Title: Sharing proofs with predicative theories through universe polymorphic elaboration Abstract: As the development of formal proofs is a time-consuming task, it is important to devise ways of sharing the already written proofs to prevent wasting time redoing them. One of the challenges in this domain is to translate...	[ 42929, 42740 ]	Validation
33,171	30	Title: Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering Abstract: Visual question answering (VQA) has the potential to make the Internet more accessible in an interactive way, allowing people who cannot see images to ask questions about them. However, multiple studies have shown that people w...	[ 10624 ]	Validation
33,172	30	Title: Improving Contrastive Learning of Sentence Embeddings from AI Feedback Abstract: Contrastive learning has become a popular approach in natural language processing, particularly for the learning of sentence embeddings. However, the discrete nature of natural language makes it difficult to ensure the quality of po...	[ 7904, 27905, 33603, 455, 36392, 21706, 9802 ]	Train
33,173	24	Title: Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning Abstract: Model evaluation is a critical component in supervised machine learning classification analyses. Traditional metrics do not currently incorporate case d...	[]	Train
33,174	16	Title: Topology Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks Abstract: Four-dimensional image-type data can quickly become prohibitively large, and it may not be feasible to directly apply methods, such as persistent homology or convolutional neural networks, to deter...	[]	Train
33,175	30	Title: Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation Abstract: Large Language Models (LLMs) hold immense potential to generate synthetic data of high quality and utility, which has numerous applications from downstream mode...	[ 28000, 40192, 7973, 6537, 8106, 16302, 9780, 12116, 40150, 26423, 17340, 27039 ]	Train
33,176	15	Title: CXL over Ethernet: A Novel FPGA-based Memory Disaggregation Design in Data Centers Abstract: Memory resources in data centers generally suffer from low utilization and lack of dynamics. Memory disaggregation solves these problems by decoupling CPU and memory, which currently includes approaches based on RDMA or ...	[]	Train
33,177	16	Title: PartSLAM: Unsupervised part-based scene modeling for fast succinct map matching Abstract: In this paper, we explore the challenging 1-to-N map matching problem, which exploits a compact description of map data, to improve the scalability of map matching techniques used by various robot vision tasks. We propose a...	[]	Train

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.