node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
32,378 | 24 | Title: DF2: Distribution-Free Decision-Focused Learning
Abstract: Decision-focused learning (DFL) has recently emerged as a powerful approach for predict-then-optimize problems by customizing a predictive model to a downstream optimization task. However, existing end-to-end DFL methods are hindered by three significant... | [] | Test |
32,379 | 6 | Title: Multi-Focus Querying of the Human Genome Information on Desktop and in Virtual Reality: an Evaluation
Abstract: The human genome is incredibly information-rich, consisting of approximately 25,000 protein-coding genes spread out over 3.2 billion nucleotide base pairs contained within 24 unique chromosomes. The ge... | [
42997
] | Train |
32,380 | 16 | Title: Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training
Abstract: Unlearning techniques are proposed to prevent third parties from exploiting unauthorized data, which generate unlearnable samples by adding imperceptible perturbations to data for public publishing. These unlearnable samp... | [] | Train |
32,381 | 30 | Title: Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension
Abstract: Training machines to understand natural language and interact with humans is one of the major goals of artificial intelligence. Recent years have witnessed an evolution from matching networks to pretrained language models (PrLMs). I... | [] | Train |
32,382 | 25 | Title: Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis
Abstract: Differentiable digital signal processing (DDSP) techniques, including methods for audio synthesis, have gained attention in recent years and lend themselves to interpretability in the parameter space. However, current di... | [] | Train |
32,383 | 16 | Title: Structure Analysis of the FRP Rebar Using Computer Vision Techniques
Abstract: In this paper we present a method to analyze the inner structure of the composite FRP rebar, namely the shift of the real center of gravity with a respect to the geometrical center of rebar and changes of cross-sectional characteristi... | [] | Validation |
32,384 | 16 | Title: TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
Abstract: Despite recent research advancements in reconstructing clothed humans from a single image, accurately restoring the"unseen regions"with high-level details remains an unsolved challenge that lacks attention. Existing methods often generate over... | [
26625,
27785,
7188,
42645,
34074,
40867,
23593,
33845,
40256,
44100,
10315,
21196,
26326,
28122,
29531,
30566,
15983,
27379,
9846,
14842,
20350
] | Test |
32,385 | 16 | Title: Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
Abstract: Despite the tremendous success of convolutional neural networks (CNNs) in computer vision, the mechanism of CNNs still lacks clear interpretation. Currently, class activation mapping (CAM), a famous visualizat... | [] | Train |
32,386 | 30 | Title: GPT-3 Models are Few-Shot Financial Reasoners
Abstract: Financial analysis is an important tool for evaluating company performance. Practitioners work to answer financial questions to make profitable investment decisions, and use advanced quantitative analyses to do so. As a result, Financial Question Answering ... | [] | Train |
32,387 | 6 | Title: Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
Abstract: Recent years have witnessed an interesting phenomenon in which users come together to interrogate potentially harmful algorithmic behaviors they encounter in their ever... | [
22248,
33967
] | Train |
32,388 | 31 | Title: Learning Personalized User Preference from Cold Start in Multi-turn Conversations
Abstract: This paper presents a novel teachable conversation interaction system that is capable of learning users preferences from cold start by gradually adapting to personal preferences. In particular, the TAI system is able to a... | [] | Train |
32,389 | 30 | Title: Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter
Abstract: This paper introduces a large collection of time series data derived from Twitter, postprocessed using word embedding techniques, as well as specialized fine-tuned language models. This data comprises the past five years... | [
7580
] | Test |
32,390 | 16 | Title: Towards a Better Understanding of the Computer Vision Research Community in Africa
Abstract: Computer vision is a broad field of study that encompasses different tasks (e.g., object detection, semantic segmentation, 3D reconstruction). Although computer vision is relevant to the African communities in various ap... | [] | Test |
32,391 | 16 | Title: Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding
Abstract: 3D GAN inversion aims to achieve high reconstruction fidelity and reasonable 3D geometry simultaneously from a single image input. However, existing 3D GAN inversion methods rely on time-consuming optimization fo... | [
25838
] | Train |
32,392 | 25 | Title: Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3
Abstract: In this report, we present our award-winning solutions for the Music Demixing Track of Sound Demixing Challenge 2023. First, we propose TFC-TDF-UNet v3, a time-efficient music source separation model that achieves stat... | [] | Test |
32,393 | 27 | Title: Optimizing Forest Fire Prevention: Intelligent Scheduling Algorithms for Drone-Based Surveillance System
Abstract: Given the importance of forests and their role in maintaining the ecological balance, which directly affects the planet, the climate, and the life on this planet, this research presents the problem ... | [] | Train |
32,394 | 16 | Title: Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
Abstract: This paper presents a new dataset and general tracker enhancement method for Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking has remained unexplored due to data inaccessibility.... | [
33073
] | Validation |
32,395 | 16 | Title: Controllable Mind Visual Diffusion Model
Abstract: Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models. Although diffusion models have shown promise in analyzing functional magnetic resonance imaging (fMRI) ... | [
19585,
34074,
41695
] | Train |
32,396 | 28 | Title: Sensing-based Beamforming Design for Joint Performance Enhancement of RIS-Aided ISAC Systems
Abstract: Reconfigurable intelligent surface (RIS) has shown its great potential in facilitating device-based integrated sensing and communication (ISAC), where sensing and communication tasks are mostly conducted on dif... | [] | Train |
32,397 | 24 | Title: Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Abstract: Normalized-cut graph partitioning aims to divide the set of nodes in a graph into $k$ disjoint clusters to minimize the fraction of the total edges between any cluster and all other clusters. In this paper, we consider a fair variant ... | [] | Test |
32,398 | 30 | Title: Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding
Abstract: End-to-end (E2E) spoken language understanding (SLU) systems that generate a semantic parse from speech have become more promising recently. This approach uses a single model that utilizes audio and text representati... | [] | Validation |
32,399 | 24 | Title: Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators
Abstract: High-fidelity, data-driven models that can quickly simulate thermal behavior during additive manufacturing (AM) are crucial for improving the performance of AM technologies in multiple areas, such as pa... | [] | Train |
32,400 | 25 | Title: Adaptive Representations of Sound for Automatic Insect Recognition
Abstract: Insects are an integral part of our ecosystem. These often small and evasive animals have a big impact on their surroundings, providing a large part of the present biodiversity and pollination duties, forming the foundation of the food ... | [
2
] | Validation |
32,401 | 10 | Title: MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
Abstract: Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future facts based on given history. One of the key challenges for prediction is to learn the evolution of facts. Most existing works focus on exploring e... | [
16725
] | Train |
32,402 | 30 | Title: Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
Abstract: Contrastively trained vision-language models have achieved remarkable progress in vision and language representation learning, leading to state-of-the-art models for various downstream multimodal... | [
2120,
37053
] | Validation |
32,403 | 30 | Title: Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering
Abstract: Knowledge graphs (KGs) have received increasing attention due to its wide applications on natural language processing. However, its use case on temporal question answering (QA) has not been well-explored. Most o... | [] | Train |
32,404 | 24 | Title: Adaptive Preferential Attached kNN Graph With Distribution-Awareness
Abstract: Graph-based kNN algorithms have garnered widespread popularity for machine learning tasks due to their simplicity and effectiveness. However, as factual data often inherit complex distributions, the conventional kNN graph's reliance o... | [] | Validation |
32,405 | 27 | Title: Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing
Abstract: In drone racing, the time-minimum trajectory is affected by the drone's capabilities, the layout of the race track, and the configurations of the gates (e.g., their shapes and sizes). However, previous studies neglect the configuration of... | [
35008,
7724,
36997
] | Train |
32,406 | 16 | Title: Atmospheric Turbulence Correction via Variational Deep Diffusion
Abstract: Atmospheric Turbulence (AT) correction is a challenging restoration task as it consists of two distortions: geometric distortion and spatially variant blur. Diffusion models have shown impressive accomplishments in photo-realistic image s... | [] | Train |
32,407 | 30 | Title: MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Abstract: Retrieval augmentation is a powerful but expensive method to make language models more knowledgeable about the world. Memory-based methods like LUMEN pre-compute token representations for retrieved passages to drastically speed up inference. Ho... | [
425,
28809,
24275,
24997
] | Train |
32,408 | 31 | Title: UNDR: User-Needs-Driven Ranking of Products in E-Commerce
Abstract: Online retailers often offer a vast choice of products to their customers to filter and browse through. The order in which the products are listed depends on the ranking algorithm employed in the online shop. State-of-the-art ranking methods are... | [] | Validation |
32,409 | 24 | Title: Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning
Abstract: Air traffic control (ATC) is a safety-critical service system that demands constant attention from ground air traffic controllers (ATCos) to maintain daily aviation operations. The workload of the ATCos can ha... | [] | Train |
32,410 | 3 | Title: Frontier AI Regulation: Managing Emerging Risks to Public Safety
Abstract: Advanced AI models hold the promise of tremendous benefits for humanity, but society needs to proactively manage the accompanying risks. In this paper, we focus on what we term"frontier AI"models: highly capable foundation models that cou... | [
40192,
4744,
40586,
5522,
37906,
36754,
19232,
32550,
45105,
27186,
25786,
29375,
38338,
15301,
15685,
5071,
975,
40785,
45923,
7015,
28905,
24170,
36972,
634,
45563,
1917
] | Test |
32,411 | 16 | Title: Zero-Shot Object Counting
Abstract: Class-agnostic object counting aims to count object instances of an arbitrary class at test time. Current methods for this challenging problem require human-annotated exemplars as inputs, which are often unavailable for novel categories, especially for autonomous systems. Thus... | [
11561,
12457,
18220,
15017
] | Train |
32,412 | 24 | Title: Approximating DTW with a convolutional neural network on EEG data
Abstract: Dynamic Time Wrapping (DTW) is a widely used algorithm for measuring similarities between two time series. It is especially valuable in a wide variety of applications, such as clustering, anomaly detection, classification, or video segmen... | [] | Test |
32,413 | 24 | Title: RETEXO: Scalable Neural Network Training over Distributed Graphs
Abstract: Graph neural networks offer a promising approach to supervised learning over graph data. Graph data, especially when it is privacy-sensitive or too large to train on centrally, is often stored partitioned across disparate processing units... | [] | Validation |
32,414 | 16 | Title: PA&DA: Jointly Sampling PAth and DAta for Consistent NAS
Abstract: Based on the weight-sharing mechanism, one-shot NAS methods train a supernet and then inherit the pre-trained weights to evaluate sub-models, largely reducing the search cost. However, several works have pointed out that the shared weights suffer... | [] | Train |
32,415 | 16 | Title: Abdominal Multi-Organ Segmentation Based on Feature Pyramid Network and Spatial Recurrent Neural Network
Abstract: As recent advances in AI are causing the decline of conventional diagnostic methods, the realization of end-to-end diagnosis is fast approaching. Ultrasound image segmentation is an important step i... | [] | Train |
32,416 | 24 | Title: KDEformer: Accelerating Transformers via Kernel Density Estimation
Abstract: Dot-product attention mechanism plays a crucial role in modern deep architectures (e.g., Transformer) for sequence modeling, however, na\"ive exact computation of this model incurs quadratic time and memory complexities in sequence leng... | [
11809,
12898,
26657,
29089,
34404,
24635,
17354,
13100,
16781,
29006,
20911,
40301,
8436,
39573,
11128,
7643
] | Train |
32,417 | 16 | Title: Recurrent Contour-based Instance Segmentation with Progressive Learning
Abstract: Contour-based instance segmentation has been actively studied, thanks to its flexibility and elegance in processing visual objects within complex backgrounds. In this work, we propose a novel deep network architecture, i.e., PolySn... | [
36352,
13596
] | Train |
32,418 | 24 | Title: Self-Interpretable Time Series Prediction with Counterfactual Explanations
Abstract: Interpretable time series prediction is crucial for safety-critical areas such as healthcare and autonomous driving. Most existing methods focus on interpreting predictions by assigning important scores to segments of time serie... | [] | Validation |
32,419 | 30 | Title: In-Context Learning with Many Demonstration Examples
Abstract: Large pre-training language models (PLMs) have shown promising in-context learning abilities. However, due to the backbone transformer architecture, existing PLMs are bottlenecked by the memory and computational cost when scaling up to a large contex... | [
648,
42574,
9038,
45590,
15358,
43327
] | Test |
32,420 | 24 | Title: Quantifying&Modeling Multimodal Interactions: An Information Decomposition Framework
Abstract: The recent explosion of interest in multimodal applications has resulted in a wide selection of datasets and methods for representing and integrating information from different modalities. Despite these empirical advan... | [] | Validation |
32,421 | 4 | Title: Poster: No safety in numbers: traffic analysis of sealed-sender groups in Signal
Abstract: Secure messaging applications often offer privacy to users by protecting their messages from would be observers through end-to-end encryption techniques. However, the metadata of who communicates with whom cannot be concea... | [] | Train |
32,422 | 3 | Title: Um banco de dados de empregos formais georreferenciados em cidades brasileiras
Abstract: Currently, transport planning has changed its paradigm from projects oriented to guarantee service levels to projects oriented to guarantee accessibility to opportunities. In this context, a number of studies and tools aimed... | [] | Train |
32,423 | 16 | Title: AIM: Adapting Image Models for Efficient Video Action Recognition
Abstract: Recent vision transformer based video models mostly follow the ``image pre-training then finetuning"paradigm and have achieved great success on multiple video benchmarks. However, full finetuning such a video model could be computational... | [
18112,
43590,
872,
6089,
26539,
13805,
19886,
25453,
15666,
30835,
11927,
31545,
24380,
43006,
19263
] | Test |
32,424 | 30 | Title: Building a Parallel Corpus and Training Translation Models Between Luganda and English
Abstract: Neural machine translation (NMT) has achieved great successes with large datasets, so NMT is more premised on high-resource languages. This continuously underpins the low resource languages such as Luganda due to the... | [] | Train |
32,425 | 30 | Title: Progressive Multi-task Learning Framework for Chinese Text Error Correction
Abstract: Chinese Text Error Correction (CTEC) aims to detect and correct errors in the input text, which benefits human's daily life and various downstream tasks. Recent approaches mainly employ Pre-trained Language Models (PLMs) to res... | [
26730
] | Train |
32,426 | 30 | Title: NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media
Abstract: Interactions among humans on social media often convey intentions behind their actions, yielding a psychological language resource for Mental Health Analysis (MHA) of online users. The success of Computationa... | [] | Train |
32,427 | 24 | Title: Graph Neural Operators for Classification of Spatial Transcriptomics Data
Abstract: The inception of spatial transcriptomics has allowed improved comprehension of tissue architectures and the disentanglement of complex underlying biological, physiological, and pathological processes through their positional cont... | [] | Train |
32,428 | 10 | Title: Vagueness in Predicates and Objects
Abstract: Classical semantics assumes that one can model reference, predication and quantification with respect to a fixed domain of precise referent objects. Non-logical terms and quantification are then interpreted directly in terms of elements and subsets of this domain. We... | [
3673
] | Train |
32,429 | 24 | Title: Neural Gromov-Wasserstein Optimal Transport
Abstract: We present a scalable neural method to solve the Gromov-Wasserstein (GW) Optimal Transport (OT) problem with the inner product cost. In this problem, given two distributions supported on (possibly different) spaces, one has to find the most isometric map betw... | [] | Train |
32,430 | 24 | Title: Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space
Abstract: We introduce Deep Augmentation, an approach to data augmentation using dropout to dynamically transform a targeted layer within a neural network, with the option to use the stop-gradient operation, ... | [] | Train |
32,431 | 16 | Title: Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Abstract: Oriented object detection is one of the most fundamental and challenging tasks in remote sensing, aiming at locating the oriented objects of numerous predefined object categories. Recently, deep learning based meth... | [
30518
] | Train |
32,432 | 16 | Title: NormAUG: Normalization-guided Augmentation for Domain Generalization
Abstract: Deep learning has made significant advancements in supervised learning. However, models trained in this setting often face challenges due to domain shift between training and test sets, resulting in a significant drop in performance d... | [
19034,
5651,
13427
] | Train |
32,433 | 16 | Title: Towards a Robust Framework for NeRF Evaluation
Abstract: Neural Radiance Field (NeRF) research has attracted significant attention recently, with 3D modelling, virtual/augmented reality, and visual effects driving its application. While current NeRF implementations can produce high quality visual results, there ... | [
2593,
39587,
19781,
8296,
16845,
29457,
40220
] | Train |
32,434 | 11 | Title: An Ising-like model for language evolution
Abstract: I propose a novel Ising-like model of language evolution. In a simple way, Ising-like models represent the countervailing tendencies towards convergence and change present in language evolution. In the ordinary Ising-model, a node on a graph, in this case repr... | [
38432
] | Train |
32,435 | 24 | Title: Leveraging Prior Knowledge in Reinforcement Learning via Double-Sided Bounds on the Value Function
Abstract: An agent's ability to leverage past experience is critical for efficiently solving new tasks. Approximate solutions for new tasks can be obtained from previously derived value functions, as demonstrated b... | [
17667,
5630,
1694
] | Test |
32,436 | 24 | Title: Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
Abstract: MRI and PET are crucial diagnostic tools for brain diseases, as they provide complementary information on brain structure and function. However, PET scanning is costly and involves radioactive e... | [] | Train |
32,437 | 24 | Title: The Disharmony Between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation Between Activations
Abstract: Deep neural networks, which employ batch normalization and ReLU-like activation functions, suffer from instability in the early stages of training due to the high gradient induced by tempo... | [] | Test |
32,438 | 30 | Title: Bilevel Scheduled Sampling for Dialogue Generation
Abstract: Exposure bias poses a common challenge in numerous natural language processing tasks, particularly in the dialog generation. In response to this issue, researchers have devised various techniques, among which scheduled sampling has proven to be an effe... | [] | Train |
32,439 | 24 | Title: Distillation Policy Optimization
Abstract: On-policy algorithms are supposed to be stable, however, sample-intensive yet. Off-policy algorithms utilizing past experiences are deemed to be sample-efficient, nevertheless, unstable in general. Can we design an algorithm that can employ the off-policy data, while ex... | [] | Validation |
32,440 | 24 | Title: Maximum State Entropy Exploration using Predecessor and Successor Representations
Abstract: Animals have a developed ability to explore that aids them in important tasks such as locating food, exploring for shelter, and finding misplaced items. These exploration skills necessarily track where they have been so t... | [
34214
] | Train |
32,441 | 16 | Title: Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Abstract: Machine learning has demonstrated remarkable performance over finite datasets, yet whether the scores over the fixed benchmarks can sufficiently indicate the model's performance in the real world is still in disc... | [
31714,
43947,
26678
] | Validation |
32,442 | 24 | Title: You Shall not Pass: the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
Abstract: Predict and optimize is an increasingly popular decision-making paradigm that employs machine learning to predict unknown parameters of optimization problems. Instead of minimizing the prediction error of the ... | [] | Train |
32,443 | 36 | Title: Incentive Engineering for Concurrent Games
Abstract: We consider the problem of incentivising desirable behaviours in multi-agent systems by way of taxation schemes. Our study employs the concurrent games model: in this model, each agent is primarily motivated to seek the satisfaction of a goal, expressed as a L... | [] | Train |
32,444 | 16 | Title: A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
Abstract: Deep learning has revolutionized computer vision and image classification domains. In this context Convolutional Neural Networks (CNNs) based architectures and Deep Neural Networks (DNNs) are the most widely applied models... | [] | Test |
32,445 | 30 | Title: Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation
Abstract: NMT systems trained on Pre-trained Multilingual Sequence-Sequence (PMSS) models flounder when sufficient amounts of parallel data is not available for fine-tuning. This specifically holds for languag... | [] | Train |
32,446 | 30 | Title: T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
Abstract: Cross-lingual text classification leverages text classifiers trained in a high-resource language to perform text classification in other languages with no or minimal fine-tuning (zero/few-shots cross-lingual transfer). Nowa... | [] | Validation |
32,447 | 16 | Title: Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
Abstract: Audio-visual question answering (AVQA) is a challenging task that requires multistep spatio-temporal reasoning over multimodal contexts. To achieve scene understanding ability similar to humans, the AVQA t... | [
42583
] | Train |
32,448 | 24 | Title: Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification
Abstract: Test-time adaptation (TTA) is a technique aimed at enhancing the generalization performance of models by leveraging unlabeled samples solely during prediction. Given the need for robustness in neural network systems w... | [
43608,
5651,
17380,
37107
] | Train |
32,449 | 16 | Title: Visual Causal Scene Refinement for Video Question Answering
Abstract: Existing methods for video question answering (VideoQA) often suffer from spurious correlations between different modalities, leading to a failure in identifying the dominant visual evidence and the intended question. Moreover, these methods f... | [
24786,
25941,
6654
] | Validation |
32,450 | 30 | Title: StarCoder: may the source be with you!
Abstract: The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K context length, infilling capabilities and fast lar... | [
39041,
13700,
29317,
26886,
30087,
20489,
35085,
32014,
16911,
14609,
41234,
11539,
8213,
14229,
16917,
24087,
43925,
42523,
16156,
29597,
27936,
34208,
2980,
38948,
4902,
2855,
41087,
31145,
23085,
22578,
10163,
25522,
15285,
1595,
17467,
39227,... | Validation |
32,451 | 6 | Title: Never-ending Learning of User Interfaces
Abstract: Machine learning models have been trained to predict semantic information about user interfaces (UIs) to make apps more accessible, easier to test, and to automate. Currently, most models rely on datasets that are collected and labeled by human crowd-workers, a ... | [] | Train |
32,452 | 16 | Title: PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View
Abstract: Accurately perceiving instances and predicting their future motion are key tasks for autonomous vehicles, enabling them to navigate safely in complex urban traffic. While bird’s-eye view (BEV) representations are ... | [
9421
] | Train |
32,453 | 4 | Title: Quarks: A Secure and Decentralized Blockchain-Based Messaging Network
Abstract: Over the past two decades, the popularity of messaging systems has increased both in enterprise and consumer level. Many of these systems used secure protocols like end-to-end encryption to ensure strong security features such as “fu... | [] | Train |
32,454 | 30 | Title: Enhancing Language Representation with Constructional Information for Natural Language Understanding
Abstract: Natural language understanding (NLU) is an essential branch of natural language processing, which relies on representations generated by pre-trained language models (PLMs). However, PLMs primarily focus... | [
14465,
20218
] | Train |
32,455 | 3 | Title: Evaluating the impact of government Cyber Security initiatives in the UK
Abstract: Cyber security initiatives provide immense opportunities for governments to educate, train, create awareness, and promote cyber hygiene among businesses and the general public. Creating and promoting these initiatives are necessar... | [] | Train |
32,456 | 31 | Title: Towards Contrastive Learning in Music Video Domain
Abstract: Contrastive learning is a powerful way of learning multimodal representations across various domains such as image-caption retrieval and audio-visual representation learning. In this work, we investigate if these findings generalize to the domain of mu... | [
20199,
36356,
1007
] | Train |
32,457 | 30 | Title: mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning
Abstract: Cross-lingual named entity recognition (CrossNER) faces challenges stemming from uneven performance due to the scarcity of multilingual corpora, especially for non-English data. While prior efforts mainly focus on data-... | [
33440,
38390
] | Validation |
32,458 | 24 | Title: Negative Feedback Training: A Novel Concept to Improve Robustness of NVCiM DNN Accelerators
Abstract: Compute-in-Memory (CiM) utilizing non-volatile memory (NVM) devices presents a highly promising and efficient approach for accelerating deep neural networks (DNNs). By concurrently storing network weights and pe... | [] | Train |
32,459 | 24 | Title: Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Abstract: Neural networks are emerging as a tool for scalable data-driven simulation of high-dimensional dynamical systems, especially in settings where numerical methods are infeasible or computationally expensive. Notably, it has been shown t... | [
21139
] | Train |
32,460 | 3 | Title: Trauma lurking in the shadows: A Reddit case study of mental health issues in online posts about Childhood Sexual Abuse
Abstract: Childhood Sexual Abuse (CSA) is a menace to society and has long-lasting effects on the mental health of the survivors. From time to time CSA survivors are haunted by various mental h... | [] | Train |
32,461 | 5 | Title: A Crowdsensing Approach for Deriving Surface Quality of Cycling Infrastructure
Abstract: Cities worldwide are trying to increase the modal share of bicycle traffic to address traffic and carbon emission problems. Aside from safety, a key factor for this is the cycling comfort, including the surface quality of cy... | [
3116
] | Train |
32,462 | 16 | Title: Exploring shared memory architectures for end-to-end gigapixel deep learning
Abstract: Deep learning has made great strides in medical imaging, enabled by hardware advances in GPUs. One major constraint for the development of new models has been the saturation of GPU memory resources during training. This is esp... | [] | Train |
32,463 | 8 | Title: Energy Efficient SDN and SDR Joint Adaptation of CPU Utilization Based on Experimental Data Analytics
Abstract: In this paper we propose a hybrid softwarized architecture of Network Function Virtualization (NFV) where Software-Defined Networking (SDN) and Software-Defined Radio (SDR) components are integrated to... | [] | Validation |
32,464 | 5 | Title: Towards Characterization of Edge-Cloud Continuum
Abstract: nan | [] | Train |
32,465 | 4 | Title: Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
Abstract: Deep learning (DL) models have become increasingly popular in identifying software vulnerabilities. Prior studies found that vulnerabilities across different vulnerable programs may exhibit similar vulnerabl... | [] | Train |
32,466 | 28 | Title: Optical Intelligent Reflecting Surface Assisted MIMO VLC: Channel Modeling and Capacity Characterization
Abstract: Although the multi-antenna or so-called multiple-input multiple-output (MIMO) transmission has been the enabling technology for the past generations of radio-frequency (RF)-based wireless communicat... | [
4137
] | Train |
32,467 | 16 | Title: Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation
Abstract: We propose Latent-Shift -- an efficient text-to-video generation method based on a pretrained text-to-image generation model that consists of an autoencoder and a U-Net diffusion model. Learning a video diffusion ... | [
42272,
45318,
38696,
7597,
15983,
19378,
29527,
40606
] | Validation |
32,468 | 39 | Title: Computational Complexity of Covering Disconnected Multigraphs
Abstract: nan | [] | Train |
32,469 | 34 | Title: Computing All Restricted Skyline Probabilities for Uncertain Data
Abstract: Since data uncertainty is inherent in multi-criteria decision making, recent years have witnessed a dramatically increasing amount of attention devoted to conducting advanced analysis on uncertain data. In this paper, we revisit restrict... | [] | Train |
32,470 | 16 | Title: EventCLIP: Adapting CLIP for Event-based Object Recognition
Abstract: Recent advances in 2D zero-shot and few-shot recognition often leverage large pre-trained vision-language models (VLMs) such as CLIP. Due to a shortage of suitable datasets, it is currently infeasible to train such models for event camera data... | [
23280,
30353
] | Validation |
32,471 | 24 | Title: Provable Convergence of Tensor Decomposition-Based Neural Network Training
Abstract: Advanced tensor decomposition, such as tensor train (TT), has been widely studied for tensor decomposition-based neural network (NN) training, which is one of the most common model compression methods. However, training NN with ... | [] | Train |
32,472 | 24 | Title: Optimal and Fair Encouragement Policy Evaluation and Learning
Abstract: In consequential domains, it is often impossible to compel individuals to take treatment, so that optimal policy rules are merely suggestions in the presence of human non-adherence to treatment recommendations. In these same domains, there m... | [
3174
] | Test |
32,473 | 30 | Title: Dialog act guided contextual adapter for personalized speech recognition
Abstract: Personalization in multi-turn dialogs has been a long standing challenge for end-to-end automatic speech recognition (E2E ASR) models. Recent work on contextual adapters has tackled rare word recognition using user catalogs. This ... | [] | Train |
32,474 | 3 | Title: What Drives Virtual Influencer's Impact?
Abstract: In the midst of the influencer marketing boom, more and more companies are shifting resources from real to virtual (or computer-generated) influencers. But while virtual influencers have the potential to engage consumers and drive action, some posts resonate and... | [] | Train |
32,475 | 24 | Title: Seq-HyGAN: Sequence Classification via Hypergraph Attention Network
Abstract: Sequence classification has a wide range of real-world applications in different domains, such as genome classification in health and anomaly detection in business. However, the lack of explicit features in sequence data makes it diffi... | [] | Train |
32,476 | 24 | Title: Accelerating Batch Active Learning Using Continual Learning Techniques
Abstract: A major problem with Active Learning (AL) is high training costs since models are typically retrained from scratch after every query round. We start by demonstrating that standard AL on neural networks with warm starting fails, both... | [] | Train |
32,477 | 24 | Title: Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
Abstract: Deciding on an appropriate intervention requires a causal model of a treatment, the outcome, and potential mediators. Causal mediation analysis lets us distinguish between direct and indirect effe... | [] | Validation |
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