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
33,478	30	Title: Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model Abstract: Phrase break prediction is a crucial task for improving the prosody naturalness of a text-to-speech (TTS) system. However, most proposed phrase break prediction models are monolingual, trained exclusively on a ...	[]	Train
33,479	24	Title: Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Abstract: In Continual learning (CL) balancing effective adaptation while combating catastrophic forgetting is a central challenge. Many of the recent best-performing methods utilize various forms of prior task data, e.g. a replay buf...	[ 30472 ]	Test
33,480	6	Title: DriCon: On-device Just-in-Time Context Characterization for Unexpected Driving Events Abstract: Driving is a complex task carried out under the influence of diverse spatial objects and their temporal inter-actions. Therefore, a sudden fluctuation in driving behavior can be due to either a lack of driving skill o...	[]	Validation
33,481	24	Title: Enhancing the Robustness of QMIX against State-adversarial Attacks Abstract: Deep reinforcement learning (DRL) performance is generally impacted by state-adversarial attacks, a perturbation applied to an agent's observation. Most recent research has concentrated on robust single-agent reinforcement learning (SAR...	[]	Train
33,482	6	Title: Decentralized Governance for Virtual Community(DeGov4VC): Optimal Policy Design of Human-plant Symbiosis Co-creation Abstract: Does the decentralized nature of user behavior in interactive virtual communities help create rules promoting user engagement? Through scenarios like planting, this framework suggests a ...	[]	Train
33,483	27	Title: Joint Intrinsic and Extrinsic LiDAR-Camera Calibration in Targetless Environments Using Plane-Constrained Bundle Adjustment Abstract: This paper introduces a novel targetless method for joint intrinsic and extrinsic calibration of LiDAR-camera systems using plane-constrained bundle adjustment (BA). Our method le...	[ 39991 ]	Train
33,484	30	Title: PGTask: Introducing the Task of Profile Generation from Dialogues Abstract: Recent approaches have attempted to personalize dialogue systems by leveraging profile information into models. However, this knowledge is scarce and difficult to obtain, which makes the extraction/generation of profile information from ...	[]	Train
33,485	16	Title: Object Discovery from Motion-Guided Tokens Abstract: Object discovery – separating objects from the background without manual labels – is a fundamental open challenge in computer vision. Previous methods struggle to go beyond clustering of low-level cues, whether handcrafted (e.g., color, texture) or learned (e....	[ 25552 ]	Train
33,486	21	Title: EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union Abstract: EuroCrops contains geo-referenced polygons of agricultural croplands from 16 countries of the European Union (EU) as well as information on the respective crop species grown there. These semantic an...	[]	Train
33,487	24	Title: Recursive deep learning framework for forecasting the decadal world economic outlook Abstract: Gross domestic product (GDP) is the most widely used indicator in macroeconomics and the main tool for measuring a country’s economic ouput. Due to the diversity and complexity of the world economy, a wide range of mod...	[]	Train
33,488	24	Title: Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Abstract: We perform the first adversarial robustness study into Graph Neural Networks (GNNs) that are provably more powerful than traditional Message Passing Neural Networks (MPNNs). In particular, we use adversarial robustness as ...	[ 1921, 19441, 46143 ]	Train
33,489	25	Title: Mi-Go: Test Framework which uses YouTube as Data Source for Evaluating Speech Recognition Models like OpenAI's Whisper Abstract: This article introduces Mi-Go, a novel testing framework aimed at evaluating the performance and adaptability of general-purpose speech recognition machine learning models across diver...	[]	Train
33,490	30	Title: CodeT5+: Open Code Large Language Models for Code Understanding and Generation Abstract: Large language models (LLMs) pretrained on vast source code have achieved prominent progress in code intelligence. However, existing code LLMs have two main limitations in terms of architecture and pretraining tasks. First, ...	[ 13700, 9734, 15757, 35085, 42129, 31643, 27936, 34208, 19746, 2980, 41087, 31145, 25522, 10163, 38194, 11190, 4408, 7611, 1595, 43196, 6719, 32450, 43970, 15812, 33220, 16715, 15952, 18777, 14170, 27354, 17517, 43124, 26748, 5757, 13439 ]	Train
33,491	5	Title: Validity Constraints for Data Analysis Workflows Abstract: Porting a scientific data analysis workflow (DAW) to a cluster infrastructure, a new software stack, or even only a new dataset with some notably different properties is often challenging. Despite the structured definition of the steps (tasks) and their ...	[]	Train
33,492	15	Title: Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations Abstract: Today's performance analysis frameworks for deep learning accelerators suffer from two significant limitations. First, although modern convolutional neural network (CNNs) consist of many types of layers other...	[]	Train
33,493	30	Title: Bangla Grammatical Error Detection Using T5 Transformer Model Abstract: This paper presents a method for detecting grammatical errors in Bangla using a Text-to-Text Transfer Transformer (T5) Language Model, using the small variant of BanglaT5, fine-tuned on a corpus of 9385 sentences where errors were bracketed ...	[]	Train
33,494	31	Title: Keyword Embeddings for Query Suggestion Abstract: Nowadays, search engine users commonly rely on query suggestions to improve their initial inputs. Current systems are very good at recommending lexical adaptations or spelling corrections to users' queries. However, they often struggle to suggest semantically rel...	[]	Train
33,495	5	Title: Opportunities of Renewable Energy Powered DNN Inference Abstract: With the proliferation of the adoption of renewable energy in powering data centers, addressing the challenges of such energy sources has attracted researchers from academia and industry. One of the challenging characteristics of data centers with...	[]	Train
33,496	36	Title: Optimal Metric Distortion with Predictions Abstract: In the metric distortion problem there is a set of candidates and a set of voters, all residing in the same metric space. The objective is to choose a candidate with minimum social cost, defined as the total distance of the chosen candidate from all voters. Th...	[ 16264, 3145, 29647, 15, 36309, 987 ]	Train
33,497	3	Title: The moral authority of ChatGPT Abstract: ChatGPT is not only fun to chat with, but it also searches information, answers questions, and gives advice. With consistent moral advice, it might improve the moral judgment and decisions of users, who often hold contradictory moral beliefs. Unfortunately, ChatGPT turns ...	[ 25143, 11273, 44173, 23252, 26357, 35959 ]	Validation
33,498	24	Title: DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks Abstract: With ever increasing depth and width in deep neural networks to achieve state-of-the-art performance, deep learning computation has significantly grown, and dot-products remain dominant...	[]	Train
33,499	30	Title: Adversarial Training For Low-Resource Disfluency Correction Abstract: Disfluencies commonly occur in conversational speech. Speech with disfluencies can result in noisy Automatic Speech Recognition (ASR) transcripts, which affects downstream tasks like machine translation. In this paper, we propose an adversaria...	[]	Train
33,500	27	Title: Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps Abstract: This work addresses the task of risk evaluation in traffic scenarios with limited observability due to restricted sensorial coverage. Here, we concentrate on intersection scenarios that are difficult to access visually....	[]	Test
33,501	16	Title: Metropolis Theorem and Its Applications in Single Image Detail Enhancement Abstract: Traditional image detail enhancement is local filter-based or global filter-based. In both approaches, the original image is first divided into the base layer and the detail layer, and then the enhanced image is obtained by ampl...	[]	Train
33,502	30	Title: CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market Abstract: In recent years, great advances in pre-trained language models (PLMs) have sparked considerable research focus and achieved promising performance on the approach of dense passage retrieval, which aims at retrieving relative passages f...	[]	Test
33,503	16	Title: GLOW: Global Layout Aware Attacks for Object Detection Abstract: Adversarial attacks aim to perturb images such that a predictor outputs incorrect results. Due to the limited research in structured attacks, imposing consistency checks on natural multi-object scenes is a promising yet practical defense against co...	[]	Train
33,504	24	Title: Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout Abstract: Large machine learning models trained on diverse data have recently seen unprecedented success. Federated learning enables training on private data that may otherwise be inaccessible, such as domain-specific...	[]	Test
33,505	24	Title: Variational f-Divergence and Derangements for Discriminative Mutual Information Estimation Abstract: The accurate estimation of the mutual information is a crucial task in various applications, including machine learning, communications, and biology, since it enables the understanding of complex systems. High-di...	[]	Validation
33,506	24	Title: BSGAN: A Novel Oversampling Technique for Imbalanced Pattern Recognitions Abstract: Class imbalanced problems (CIP) are one of the potential challenges in developing unbiased Machine Learning (ML) models for predictions. CIP occurs when data samples are not equally distributed between the two or multiple classes...	[]	Test
33,507	2	Title: A constructive proof of Skolem theorem for constructive logic Abstract: If the sequent (Gamma entails forall x exists y A) is provable in first order constructive natural deduction, then the theory (Gamma, forall x (f (x)/y)A), where f is a new function symbol, is a conservative extension of Gamma.	[]	Train
33,508	16	Title: Interactive Geometry Editing of Neural Radiance Fields Abstract: In this paper, we propose a method that enables interactive geometry editing for neural radiance fields manipulation. We use two proxy cages(inner cage and outer cage) to edit a scene. The inner cage defines the operation target, and the outer cage...	[ 979, 11573 ]	Train
33,509	24	Title: Federated Split Learning with Only Positive Labels for resource-constrained IoT environment Abstract: Distributed collaborative machine learning (DCML) is a promising method in the Internet of Things (IoT) domain for training deep learning models, as data is distributed across multiple devices. A key advantage o...	[]	Train
33,510	10	Title: Reflective Linguistic Programming (RLP): A Stepping Stone in Socially-Aware AGI (SocialAGI) Abstract: This paper presents Reflective Linguistic Programming (RLP), a unique approach to conversational AI that emphasizes self-awareness and strategic planning. RLP encourages models to introspect on their own predefi...	[ 33477, 16556, 6942, 36528, 14398 ]	Train
33,511	30	Title: Deductive Verification of Chain-of-Thought Reasoning Abstract: Large Language Models (LLMs) significantly benefit from Chain-of-Thought (CoT) prompting in performing various reasoning tasks. While CoT allows models to produce more comprehensive reasoning processes, its emphasis on intermediate reasoning steps ca...	[ 10944, 17789, 13700, 24099, 13510, 31493, 19472, 22578, 10165, 21880, 634, 13564, 1949 ]	Train
33,512	6	Title: QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation Abstract: Speech-driven gesture generation is highly challenging due to the random jitters of human motion. In addition, there is an inherent asynchronous relationship between human speech and gestures. To...	[ 27642, 19667, 36214, 41699 ]	Validation
33,513	16	Title: Camera-Incremental Object Re-Identification with Identity Knowledge Evolution Abstract: Object Re-identification (ReID) aims to retrieve the probe object from many gallery images with the ReID model inferred based on a stationary camera-free dataset by associating and collecting the identities across all camera ...	[]	Test
33,514	26	Title: The Strong Maximum Circulation Algorithm: A New Method for Aggregating Preference Rankings Abstract: We present a new optimization-based method for aggregating preferences in settings where each decision maker, or voter, expresses preferences over pairs of alternatives. The challenge is to come up with a ranking...	[]	Validation
33,515	30	Title: Self-Distillation with Meta Learning for Knowledge Graph Completion Abstract: In this paper, we propose a selfdistillation framework with meta learning(MetaSD) for knowledge graph completion with dynamic pruning, which aims to learn compressed graph embeddings and tackle the longtail samples. Specifically, we fi...	[ 12659 ]	Train
33,516	27	Title: Design of a Multi-Degree-of-Freedom Elastic Neck Exoskeleton for Persons with Dropped Head Syndrome Abstract: Nonsurgical treatment of Dropped Head Syndrome (DHS) incurs the use of collar-type orthoses that immobilize the neck and cause discomfort and sores under the chin. Articulated orthoses have the potential...	[]	Train
33,517	4	Title: Cohere: Privacy Management in Large Scale Systems Abstract: The need for a privacy management layer in today's systems started to manifest with the emergence of new systems for privacy-preserving analytics and privacy compliance. As a result, we began to see many independent efforts emerge that try to provide sy...	[]	Train
33,518	24	Title: Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Abstract: We present the first framework to solve linear inverse problems leveraging pre-trained latent diffusion models. Previously proposed algorithms (such as DPS and DDRM) only apply to pixel-space diffusion models. ...	[ 23008, 4481, 30151, 14730, 23563, 1581 ]	Train
33,519	9	Title: Finite state verifiers with both private and public coins Abstract: We consider the effects of allowing a finite state verifier in an interactive proof system to use a bounded number of private coins, in addition to"public"coins whose outcomes are visible to the prover. Although swapping between private and publ...	[]	Train
33,520	24	Title: What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow Abstract: Machine learning (ML), including deep learning, has recently gained tremendous popularity in a wide range of applications. However, like traditional software, ML applications are not ...	[]	Train
33,521	16	Title: High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark Abstract: The extraction of lakes from remote sensing images is a complex challenge due to the varied lake shapes and data noise. Current methods rely on multispectral image datasets, making it challenging...	[ 34720, 17633, 13763, 37987, 27144 ]	Validation
33,522	16	Title: DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow Abstract: Recent advancements in neural network-based optical flow estimation often come with prohibitively high computational and memory requirements, presenting challenges in their model adaptation for mobile and low-power use cases. In...	[ 8642, 39250 ]	Test
33,523	16	Title: Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Abstract: Long-tailed data is still a big challenge for deep neural networks, even though they have achieved great success on balanced data. We observe that vanilla training on longtailed data with crossentropy loss makes the instance-rich head...	[ 24291, 8260, 33765, 12136, 21673, 36810, 22542, 21748, 42998, 25240, 23547, 14558 ]	Test
33,524	16	Title: If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval Abstract: In this paper we propose a novel method for zero-shot, cross-domain image retrieval in which we make two key contributions. The first is a test-time re-ranking procedure that enables query-gallery pairs, without m...	[]	Train
33,525	18	Title: Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design Abstract: The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. Our proposed synapse demonstrates reliabi...	[ 36592, 27762 ]	Test
33,526	30	Title: Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark Abstract: Dialogue topic shift detection is to detect whether an ongoing topic has shifted or should shift in a dialogue, which can be divided into two categories, i.e., response-known task and response-unknown task. Currently, only a few investiga...	[ 15531, 8286 ]	Train
33,527	15	Title: Are We There Yet? Product Quantization and its Hardware Acceleration Abstract: Conventional multiply-accumulate (MAC) operations have long dominated computation time for deep neural networks (DNNs). Recently, product quantization (PQ) has been successfully applied to these workloads, replacing MACs with memory l...	[]	Train
33,528	4	Title: Analyzing the Shuffle Model Through the Lens of Quantitative Information Flow Abstract: Local differential privacy (LDP) is a variant of differential privacy (DP) that avoids the necessity of a trusted central curator, at the expense of a worse trade-off between privacy and utility. The shuffle model has emerged...	[]	Train
33,529	16	Title: Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning Perspective Abstract: The COVID-19 pandemic has undoubtedly changed the standards and affected all aspects of our lives, especially social communication. It has forced people to extensively wear medical face masks, in order t...	[]	Validation
33,530	24	Title: On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework Abstract: To develop the most appropriate control strategy and monitor, maintain, and evaluate the traffic performance of the freeway weaving areas, state and local Departments of Transportation need to have access t...	[ 27809, 8257, 35909, 35270, 11947, 39243, 39149, 13714, 20759 ]	Train
33,531	24	Title: Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar Abstract: The accurate prediction and estimation of annual snow accumulation has grown in importance as we deal with the effects of climate change and the increase of global atmospheric temperatures. Ai...	[]	Train
33,532	16	Title: ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images Abstract: Weakly Supervised Semantic Segmentation (WSSS) relying only on image-level supervision is a promising approach to deal with the need for Segmentation networks, especially for gene...	[]	Test
33,533	24	Title: Semi-Supervised Graph Imbalanced Regression Abstract: Data imbalance is easily found in annotated data when the observations of certain continuous label values are difficult to collect for regression tasks. When they come to molecule and polymer property predictions, the annotated graph datasets are often small ...	[ 43889, 17596 ]	Test
33,534	34	Title: Linear Time Online Algorithms for Constructing Linear-size Suffix Trie Abstract: The suffix trees are fundamental data structures for various kinds of string processing. The suffix tree of a text string $T$ of length $n$ has $O(n)$ nodes and edges, and the string label of each edge is encoded by a pair of positi...	[ 44941 ]	Train
33,535	30	Title: MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters Abstract: State-sponsored trolls are the main actors of influence campaigns on social media and automatic troll detection is important to combat misinformation at scale. Existing troll detection models are developed based on traini...	[]	Train
33,536	34	Title: Connectivity Labeling for Multiple Vertex Failures Abstract: We present an efficient labeling scheme for answering connectivity queries in graphs subject to a specified number of vertex failures. Our first result is a randomized construction of a labeling function that assigns vertices $O(f^3\log^5 n)$-bit label...	[]	Train
33,537	30	Title: Transsion TSUP's speech recognition system for ASRU 2023 MADASR Challenge Abstract: This paper presents a speech recognition system developed by the Transsion Speech Understanding Processing Team (TSUP) for the ASRU 2023 MADASR Challenge. The system focuses on adapting ASR models for low-resource Indian language...	[ 42103 ]	Test
33,538	16	Title: Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity Abstract: The use of supervised learning for Human Activity Recognition (HAR) on mobile devices leads to strong classification performances. Such an approach, however, requires large amounts of labeled data, both for the initi...	[]	Test
33,539	16	Title: E(2)-Equivariant Vision Transformer Abstract: Vision Transformer (ViT) has achieved remarkable performance in computer vision. However, positional encoding in ViT makes it substantially difficult to learn the intrinsic equivariance in data. Initial attempts have been made on designing equivariant ViT but are pro...	[ 25701 ]	Train
33,540	28	Title: Minimizing Age of Collection for Multiple Access in Wireless Industrial Internet of Things Abstract: This paper investigates the information freshness of Industrial Internet of Things (IIoT) systems, where each IoT device makes a partial observation of a common target and transmits the information update to a ce...	[]	Train
33,541	8	Title: Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey Abstract: The last decade, (2012 - 2022), saw an unprecedented advance in machine learning (ML) techniques, particularly deep learning (DL). As a result of the proven capabilities of DL, a large amount of work has been presented an...	[]	Train
33,542	17	Title: Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization Abstract: Visualizing spatial structures in 3D ensembles is challenging due to the vast amounts of information that need to be conveyed. Memory and time constraints make it unfeasible to pre-compute and store the correlations between al...	[]	Train
33,543	27	Title: Scaling Planning for Automated Driving using Simplistic Synthetic Data Abstract: We challenge the perceived consensus that the application of deep learning to solve the automated driving planning task requires a huge amount of real-world data or a realistic simulator. Using a roundabout scenario, we show that th...	[ 8610 ]	Train
33,544	16	Title: Offline-to-Online Knowledge Distillation for Video Instance Segmentation Abstract: In this paper, we present offline-to-online knowledge distillation (OOKD) for video instance segmentation (VIS), which transfers a wealth of video knowledge from an offline model to an online model for consistent prediction. Unlik...	[]	Train
33,545	34	Title: Euclidean Capacitated Vehicle Routing in Random Setting: A 1.55-Approximation Algorithm Abstract: We study the unit-demand capacitated vehicle routing problem in the random setting of the Euclidean plane. The objective is to visit $n$ random terminals in a square using a set of tours of minimum total length, suc...	[ 7023 ]	Test
33,546	8	Title: Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security Abstract: New network architectures, such as the Internet of Things (IoT), 5G, and next-generation (NextG) cellular systems, put forward emerging challenges to the design of future wireless networks toward ultra-high data ...	[]	Train
33,547	16	Title: Robust Estimation of Exposure Ratios in Multi-Exposure Image Stacks Abstract: Merging multi-exposure image stacks into a high dynamic range (HDR) image requires knowledge of accurate exposure times. When exposure times are inaccurate, for example, when they are extracted from a camera's EXIF metadata, the recons...	[]	Train
33,548	30	Title: Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations Abstract: This paper explores the potential opportunities, risks, and challenges associated with the use of large language models (LLMs) in sports science and medicine. LLMs are large neural networks with transformer style...	[]	Validation
33,549	24	Title: Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures Abstract: Traditional reinforcement learning (RL) aims to maximize the expected total reward, while the risk of uncertain outcomes needs to be controlled to ensure reliable performance in a risk-averse setting. In this paper, we conside...	[ 19192 ]	Test
33,550	24	Title: Multi-Similarity Contrastive Learning Abstract: Given a similarity metric, contrastive methods learn a representation in which examples that are similar are pushed together and examples that are dissimilar are pulled apart. Contrastive learning techniques have been utilized extensively to learn representations f...	[]	Test
33,551	24	Title: The Certification Paradox: Certifications Admit Better Attacks Abstract: In guaranteeing that no adversarial examples exist within a bounded region, certification mechanisms play an important role in demonstrating the robustness of neural networks. In this work we ask: Could certifications have any unintended co...	[]	Train
33,552	30	Title: Few-shot Domain-Adaptative Visually-fused Event Detection from Text Abstract: Incorporating auxiliary modalities such as images into event detection models has attracted increasing interest over the last few years. The complexity of natural language in describing situations has motivated researchers to leverage ...	[ 23425 ]	Test
33,553	16	Title: Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation Abstract: High-accuracy Dichotomous Image Segmentation (DIS) aims to pinpoint category-agnostic foreground objects from natural scenes. The main challenge for DIS involves identifying the highly accurate domin...	[]	Train
33,554	30	Title: Causal Categorization of Mental Health Posts using Transformers Abstract: With recent developments in digitization of clinical psychology, NLP research community has revolutionized the field of mental health detection on social media. Existing research in mental health analysis revolves around the cross-sectiona...	[]	Validation
33,555	11	Title: Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability Abstract: Stochastic partial observability poses a major challenge for decentralized coordination in multi-agent reinforcement learning but is largely neglected in state-of-the-art research due to a strong fo...	[]	Train
33,556	23	Title: Smart Contract Generation for Inter-Organizational Process Collaboration Abstract: Currently, inter-organizational process collaboration (IOPC) has been widely used in the design and development of distributed systems that support business process execution. Blockchain-based IOPC can establish trusted data shari...	[]	Train
33,557	24	Title: An Interactive Interface for Novel Class Discovery in Tabular Data Abstract: Novel Class Discovery (NCD) is the problem of trying to discover novel classes in an unlabeled set, given a labeled set of different but related classes. The majority of NCD methods proposed so far only deal with image data, despite tab...	[ 13303 ]	Validation
33,558	10	Title: Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse Abstract: Metaverse seamlessly blends the physical world and virtual space via ubiquitous communication and computing infrastructure. In transportation systems, the vehicular Metaverse can provide a fully-immersive and ...	[ 3112, 6768, 30925, 31334 ]	Train
33,559	10	Title: RCT Rejection Sampling for Causal Estimation Evaluation Abstract: Confounding is a significant obstacle to unbiased estimation of causal effects from observational data. For settings with high-dimensional covariates -- such as text data, genomics, or the behavioral social sciences -- researchers have proposed me...	[]	Train
33,560	10	Title: Tracking Progress in Multi-Agent Path Finding Abstract: Multi-Agent Path Finding (MAPF) is an important core problem for many new and emerging industrial applications. Many works appear on this topic each year, and a large number of substantial advancements and performance improvements have been reported. Yet me...	[ 1685, 1359 ]	Test
33,561	30	Title: Weaker Than You Think: A Critical Look at Weakly Supervised Learning Abstract: Weakly supervised learning is a popular approach for training machine learning models in low-resource settings. Instead of requesting high-quality yet costly human annotations, it allows training models with noisy annotations obtained...	[ 15943 ]	Validation
33,562	24	Title: Algorithm Selection for Deep Active Learning with Imbalanced Datasets Abstract: Label efficiency has become an increasingly important objective in deep learning applications. Active learning aims to reduce the number of labeled examples needed to train deep networks, but the empirical performance of active learn...	[]	Train
33,563	30	Title: Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level Abstract: As research on machine translation moves to translating text beyond the sentence level, it remains unclear how effective automatic evaluation metrics are at scoring longer translations. In this work, we first pro...	[ 35680, 11898, 14108 ]	Train
33,564	5	Title: For-Each Operations in Collaborative Apps Abstract: Conflict-free Replicated Data Types (CRDTs) allow collaborative access to an app's data. We describe a novel CRDT operation, for-each on the list of CRDTs, and demonstrate its use in collaborative apps. Our for-each operation applies a given mutation to each el...	[]	Validation
33,565	23	Title: The AR/VR Technology Stack: A Central Repository of Software Development Libraries, Platforms, and Tools Abstract: A comprehensive repository of software development libraries, platforms, and tools specifically to the domains of augmented, virtual, and mixed reality.	[]	Validation
33,566	16	Title: Are Large Kernels Better Teachers than Transformers for ConvNets? Abstract: This paper reveals a new appeal of the recently emerged large-kernel Convolutional Neural Networks (ConvNets): as the teacher in Knowledge Distillation (KD) for small-kernel ConvNets. While Transformers have led state-of-the-art (SOTA) p...	[ 29873, 25134 ]	Train
33,567	16	Title: KD-DLGAN: Data Limited Image Generation via Knowledge Distillation Abstract: Generative Adversarial Networks (GANs) rely heavily on large-scale training data for training high-quality image generation models. With limited training data, the GAN discriminator often suffers from severe overfitting which directly l...	[ 43144, 1082 ]	Train
33,568	16	Title: The mechanism underlying successful deep learning Abstract: Deep architectures consist of tens or hundreds of convolutional layers (CLs) that terminate with a few fully connected (FC) layers and an output layer representing the possible labels of a complex classification task. According to the existing deep lear...	[ 21000 ]	Train
33,569	26	Title: Social Network Analysis and Validation of an Agent-Based Model Abstract: Agent-based models (ABMs) simulate the formation and evolution of social processes at a fundamental level by decoupling agent behavior from global observations. In the case where ABM networks evolve over time as a result of (or in conjuncti...	[ 13512 ]	Train
33,570	16	Title: NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery Abstract: Novel Categories Discovery (NCD) facilitates learning from a partially annotated label space and enables deep learning (DL) models to operate in an open-world setting by identifying and differentiat...	[ 21493 ]	Test
33,571	16	Title: OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images Abstract: Semantic segmentation of multichannel images is a fundamental task for many applications. Selecting an appropriate channel combination from the original multichannel image can improve the accuracy of semanti...	[ 37896 ]	Validation
33,572	16	Title: Distracting Downpour: Adversarial Weather Attacks for Motion Estimation Abstract: Current adversarial attacks on motion estimation, or optical flow, optimize small per-pixel perturbations, which are unlikely to appear in the real world. In contrast, adverse weather conditions constitute a much more realistic thr...	[ 18251, 22372 ]	Test
33,573	30	Title: Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review Abstract: In recent years, pre-trained Multilingual Language Models (MLLMs) have shown a strong ability to transfer knowledge across different languages. However, given that the aspiration ...	[ 39291 ]	Validation
33,574	24	Title: Variational Information Pursuit for Interpretable Predictions Abstract: There is a growing interest in the machine learning community in developing predictive algorithms that are"interpretable by design". Towards this end, recent work proposes to make interpretable decisions by sequentially asking interpretable ...	[ 18176, 25969, 8980 ]	Train
33,575	30	Title: PROGrasp: Pragmatic Human-Robot Communication for Object Grasping Abstract: Interactive Object Grasping (IOG) is the task of identifying and grasping the desired object via human-robot natural language interaction. Current IOG systems assume that a human user initially specifies the target object's category (e.g...	[ 2245 ]	Validation
33,576	5	Title: Shared SAT Solvers and SAT Memory in Distributed Business Applications Abstract: nan	[]	Validation
33,577	2	Title: A Unification Algorithm for Second-Order Linear Terms Abstract: We give an algorithm for the class of second order unification problems in which second order variables have at most one occurrence.	[]	Train

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