node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
16,678 | 16 | Title: Online Clustered Codebook
Abstract: Vector Quantisation (VQ) is experiencing a comeback in machine learning, where it is increasingly used in representation learning. However, optimizing the codevectors in existing VQ-VAE is not entirely trivial. A problem is codebook collapse, where only a small subset of codev... | [
1123,
12931,
43526
] | Validation |
16,679 | 24 | Title: ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation
Abstract: We present ContainerGym, a benchmark for reinforcement learning inspired by a real-world industrial resource allocation task. The proposed benchmark encodes a range of challenges commonly encountered in real-world seque... | [] | Train |
16,680 | 4 | Title: Privacy-Preserving Tree-Based Inference with TFHE
Abstract: Privacy enhancing technologies (PETs) have been proposed as a way to protect the privacy of data while still allowing for data analysis. In this work, we focus on Fully Homomorphic Encryption (FHE), a powerful tool that allows for arbitrary computations... | [] | Train |
16,681 | 24 | Title: How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning
Abstract: Shortcut learning, or `Clever Hans effect` refers to situations where a learning agent (e.g., deep neural networks) learns spurious correlations present in data, resulting in biased models... | [] | Train |
16,682 | 24 | Title: Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
Abstract: We present CM3Leon (pronounced"Chameleon"), a retrieval-augmented, token-based, decoder-only multi-modal language model capable of generating and infilling both text and images. CM3Leon uses the CM3 multi-modal architecture b... | [
33809,
32690,
28532,
32247,
34074
] | Validation |
16,683 | 30 | Title: Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise?
Abstract: For Pretrained Language Models (PLMs), their susceptibility to noise has recently been linked to subword segmentation. However, it is unclear which aspects of segmentation affect their understanding. This study a... | [] | Train |
16,684 | 16 | Title: Handwriting and Drawing for Depression Detection: A Preliminary Study
Abstract: nan | [] | Test |
16,685 | 16 | Title: ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
Abstract: Building general-purpose models that can perceive diverse real-world modalities and solve various tasks is an appealing target in artificial intelligence. In this paper, we present ChatBridge, a novel multimodal language m... | [
10624,
13408,
26109,
5123,
13700,
37987,
22114,
33220,
42983,
1854,
6770,
10163,
23285,
3609,
4251,
13564,
23545,
3454
] | Train |
16,686 | 24 | Title: Probabilistic inverse optimal control with local linearization for non-linear partially observable systems
Abstract: Inverse optimal control methods can be used to characterize behavior in sequential decision-making tasks. Most existing work, however, requires the control signals to be known, or is limited to fu... | [] | Train |
16,687 | 24 | Title: Fixed Design Analysis of Regularization-Based Continual Learning
Abstract: We consider a continual learning (CL) problem with two linear regression tasks in the fixed design setting, where the feature vectors are assumed fixed and the labels are assumed to be random variables. We consider an $\ell_2$-regularized... | [
33259,
25343
] | Train |
16,688 | 16 | Title: Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
Abstract: This paper presents a new method for end-to-end Video Question Answering (VideoQA), aside from the current popularity of using large-scale pre-training with huge feature extractors. We achieve this with a pyramidal mult... | [
29672
] | Validation |
16,689 | 10 | Title: Towards Understanding the Effects of Evolving the MCTS UCT Selection Policy
Abstract: Monte Carlo Tree Search (MCTS) is a sampling best-first method to search for optimal decisions. The success of MCTS depends heavily on how the MCTS statistical tree is built and the selection policy plays a fundamental role in ... | [] | Train |
16,690 | 37 | Title: Towards efficient multilayer network data management
Abstract: Real-world multilayer networks can be very large and there can be multiple choices regarding what should be modeled as a layer. Therefore, there is a need for their effective storage and manipulation. Currently, multilayer network analysis software u... | [] | Test |
16,691 | 30 | Title: ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER
Abstract: Complex Named Entity Recognition (NER) is the task of detecting linguistically complex named entities in low-context text. In this paper, we present ACLM Attention-map aware keyword selection for Condit... | [] | Validation |
16,692 | 24 | Title: Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization
Abstract: Implicit graph neural networks (GNNs) have emerged as a potential approach to enable GNNs to capture long-range dependencies effectively. However, poorly designed implicit GNN layers can experience over-smoothing or may ... | [] | Train |
16,693 | 36 | Title: Grading and Ranking Large number of candidates
Abstract: It is common that a jury must grade a set of candidates in a cardinal scale such as {1,2,3,4,5} or an ordinal scale such as {Great, Good, Average, Bad }. When the number of candidates is very large such as hotels (BOOKING), restaurants (GOOGLE), apartments... | [] | Train |
16,694 | 24 | Title: Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
Abstract: Linear classifiers and leaky ReLU networks trained by gradient flow on the logistic loss have an implicit bias towards solutions which satisfy the Karush--Kuhn--Tucker (KKT) conditions for margi... | [
35488,
37260,
33646
] | Validation |
16,695 | 27 | Title: iSLAM: Imperative SLAM
Abstract: Simultaneous localization and mapping (SLAM) stands as one of the critical challenges in robot navigation. Recent advancements suggest that methods based on supervised learning deliver impressive performance in front-end odometry, while traditional optimization-based methods stil... | [
38926
] | Test |
16,696 | 16 | Title: LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance
Abstract: Recent large-scale text-guided diffusion models provide powerful image-generation capabilities. Currently, a significant effort is given to enable the modification of these images using text only as means to offer intuitive and versat... | [
32143,
42145,
16103
] | Train |
16,697 | 16 | Title: Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era
Abstract: Generative AI (AIGC, a.k.a. AI generated content) has made remarkable progress in the past few years, among which text-guided content generation is the most practical one since it enables the interaction between human instruction and AIGC. Due ... | [
9217,
25368,
34074,
10651,
42267,
541,
10527,
18720,
27426,
680,
24622,
16562,
44726,
7993,
13498,
22464,
5580,
27517,
38994,
2005,
16728,
1899,
26475,
27379,
34167,
38395,
15101
] | Train |
16,698 | 30 | Title: TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design
Abstract: High-quality instruction-tuning data is critical to improving LLM capabilities. Existing data collection methods are limited by unrealistic manual labeling costs or by the hallucination of relying solely on LLM genera... | [
14592,
12321,
13345,
13700,
25892,
10598,
34477
] | Train |
16,699 | 30 | Title: UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning
Abstract: Open-domain long-term memory conversation can establish long-term intimacy with humans, and the key is the ability to understand and memorize long-term dialogue history information. Existing works integra... | [
9012
] | Validation |
16,700 | 24 | Title: On the power of graph neural networks and the role of the activation function
Abstract: In this article we present new results about the expressivity of Graph Neural Networks (GNNs). We prove that for any GNN with piecewise polynomial activations, whose architecture size does not grow with the graph input sizes,... | [] | Test |
16,701 | 10 | Title: Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response
Abstract: Efficiently obtaining the up-to-date information in the disaster-stricken area is the key to successful disaster response. Unmanned aerial vehicles (UAVs), workers and cars can collaborate to accomplish sensing... | [] | Train |
16,702 | 30 | Title: Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
Abstract: Dialogue Acts (DAs) can be used to explain what expert tutors do and what students know during the tutoring process. Most empirical studies adopt the random sampling method to obtain sentence samples for manual ann... | [
26899
] | Test |
16,703 | 16 | Title: DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching
Abstract: Local feature matching between images remains a challenging task, especially in the presence of significant appearance variations, e.g., extreme viewpoint changes. In this work, we propose DeepMatcher, a deep T... | [
22192,
7202,
31559
] | Train |
16,704 | 30 | Title: Financial misstatement detection: a realistic evaluation
Abstract: In this work, we examine the evaluation process for the task of detecting financial reports with a high risk of containing a mis-statement. This task is often referred to, in the literature, as "mis-statement detection in financial reports". We p... | [
16081
] | Train |
16,705 | 4 | Title: Backdoor Attacks Against Dataset Distillation
Abstract: Dataset distillation has emerged as a prominent technique to improve data efficiency when training machine learning models. It encapsulates the knowledge from a large dataset into a smaller synthetic dataset. A model trained on this smaller distilled datase... | [
105,
24020,
13855
] | Train |
16,706 | 4 | Title: Decentralised Identity Federations using Blockchain
Abstract: Federated Identity Management has proven its worth by offering economic benefits and convenience to Service Providers and users alike. In such federations, the Identity Provider (IdP) is the solitary entity responsible for managing user credentials an... | [] | Train |
16,707 | 24 | Title: Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Abstract: We introduce Graph-Induced Sum-Product Networks (GSPNs), a new probabilistic framework for graph representation learning that can tractably answer probabilistic queries. Inspired by the computational trees ind... | [
37609
] | Test |
16,708 | 24 | Title: Memorization Through the Lens of Curvature of Loss Function Around Samples
Abstract: Neural networks are overparametrized and easily overfit the datasets they train on. In the extreme case, it is shown that they can memorize a training set with fully randomized labels. We propose using the curvature of loss func... | [] | Test |
16,709 | 34 | Title: Directed Poincaré Inequalities and $L^1$ Monotonicity Testing of Lipschitz Functions
Abstract: We study the connection between directed isoperimetric inequalities and monotonicity testing. In recent years, this connection has unlocked breakthroughs for testing monotonicity of functions defined on discrete domain... | [
38884
] | Train |
16,710 | 16 | Title: A Review of Adversarial Attacks in Computer Vision
Abstract: Deep neural networks have been widely used in various downstream tasks, especially those safety-critical scenario such as autonomous driving, but deep networks are often threatened by adversarial samples. Such adversarial attacks can be invisible to hu... | [] | Train |
16,711 | 16 | Title: Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Abstract: The popular VQ-VAE models reconstruct images through learning a discrete codebook but suffer from a significant issue in the rapid quality degradation of image reconstruction as the compression rate rises. One ... | [] | Train |
16,712 | 16 | Title: Real-Time Traffic End-of-Queue Detection and Tracking in UAV Video
Abstract: Highway work zones are susceptible to undue accumulation of motorized vehicles which calls for dynamic work zone warning signs to prevent accidents. The work zone signs are placed according to the location of the end-of-queue of vehicle... | [] | Test |
16,713 | 31 | Title: Outcome-based Evaluation of Systematic Review Automation
Abstract: Current methods of evaluating search strategies and automated citation screening for systematic literature reviews typically rely on counting the number of relevant publications (i.e. those to be included in the review) and not relevant publicati... | [
29109,
42694
] | Test |
16,714 | 10 | Title: Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning
Abstract: Recent works on instruction tuning (IT) have achieved great performance with zero-shot generalizability to unseen tasks. With additional context (e.g., task definition, examples) provided to models for fine-tuning, ... | [
13700,
7982,
35556
] | Test |
16,715 | 23 | Title: CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Abstract: Code intelligence plays a key role in transforming modern software engineering. Recently, deep learning-based models, especially Transformer-based large language models (LLMs), have demonstrated remarkable potential in tackling these ta... | [
34208,
32450,
33220,
7942,
45190,
15952,
33490,
25522,
14869,
32635
] | Test |
16,716 | 27 | Title: Touch if it's transparent! ACTOR: Active Tactile-based Category-Level Transparent Object Reconstruction
Abstract: Accurate shape reconstruction of transparent objects is a challenging task due to their non-Lambertian surfaces and yet necessary for robots for accurate pose perception and safe manipulation. As vis... | [] | Train |
16,717 | 24 | Title: Distributed Dual Coordinate Ascent with Imbalanced Data on a General Tree Network
Abstract: In this paper, we investigate the impact of imbalanced data on the convergence of distributed dual coordinate ascent in a tree network for solving an empirical loss minimization problem in distributed machine learning. To... | [] | Test |
16,718 | 9 | Title: Computations with polynomial evaluation oracle: ruling out superlinear SETH-based lower bounds
Abstract: The field of fine-grained complexity aims at proving conditional lower bounds on the time complexity of computational problems. One of the most popular assumptions, Strong Exponential Time Hypothesis (SETH), ... | [
41117
] | Train |
16,719 | 6 | Title: Making Design Practices Visible to Young Learners
Abstract: The role of design in K-12 education has increased in recent years. We argue that many of these design experiences do not help develop important habits of mind associated with Human Centered Design (HCD). In this paper, we present an approach for develo... | [] | Train |
16,720 | 24 | Title: An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning
Abstract: Communication overhead is one of the major challenges in Federated Learning(FL). A few classical schemes assume the server can extract the auxiliary information about training data of the participants from the ... | [] | Train |
16,721 | 27 | Title: Enhancing Human-robot Collaboration by Exploring Intuitive Augmented Reality Design Representations
Abstract: As the use of Augmented Reality (AR) to enhance interactions between human agents and robotic systems in a work environment continues to grow, robots must communicate their intents in informative yet str... | [
24674
] | Train |
16,722 | 16 | Title: EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls
Abstract: nan | [] | Validation |
16,723 | 24 | Title: Long-Tail Theory under Gaussian Mixtures
Abstract: We suggest a simple Gaussian mixture model for data generation that complies with Feldman's long tail theory (2020). We demonstrate that a linear classifier cannot decrease the generalization error below a certain level in the proposed model, whereas a nonlinear... | [] | Test |
16,724 | 16 | Title: Hallucinated Heartbeats: Anomaly-Aware Remote Pulse Estimation
Abstract: Camera-based physiological monitoring, especially remote photoplethysmography (rPPG), is a promising tool for health diagnostics, and state-of-the-art pulse estimators have shown impressive performance on benchmark datasets. We argue that e... | [] | Train |
16,725 | 10 | Title: A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects
Abstract: Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and industry. However, TKGs often suffer from... | [
17039,
31215,
32401,
25653,
2872,
10139,
27548
] | Train |
16,726 | 16 | Title: MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation
Abstract: Given a natural language, a general robot has to comprehend the instruction and find the target object or location based on visual observations even in unexplored environments. Most agents rely on massive diverse train... | [
40610,
33220,
13700,
19472,
39089,
35005,
17789
] | Train |
16,727 | 16 | Title: Hyperspherical Embedding for Point Cloud Completion
Abstract: Most real-world 3D measurements from depth sensors are incomplete, and to address this issue the point cloud completion task aims to predict the complete shapes of objects from partial observations. Previous works often adapt an encoder-decoder archit... | [] | Validation |
16,728 | 16 | Title: Robustness of SAM: Segment Anything Under Corruptions and Beyond
Abstract: Segment anything model (SAM), as the name suggests, is claimed to be capable of cutting out any object and demonstrates impressive zero-shot transfer performance with the guidance of prompts. However, there is currently a lack of comprehe... | [
15618,
15750,
25368,
42267,
6560,
42032,
39604,
16697,
35263,
21952,
29765,
3782,
24149,
14168,
27866,
27232,
1899,
35567,
33267,
25975,
3066,
5495
] | Train |
16,729 | 7 | Title: Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling
Abstract: A probabilistic machine learning model is introduced to augment the $k-\omega\ SST$ turbulence model in order to improve the modelling of separated flows and the generalisability of learnt corrections. Increasi... | [] | Validation |
16,730 | 24 | Title: Identifying Time Lag in Dynamical Systems with Copula Entropy based Transfer Entropy
Abstract: Time lag between variables is a key characteristics of dynamical systems in different fields and identifying such time lag is an important problem in complex systems with many applications. Transfer Entropy (TE) was pr... | [] | Train |
16,731 | 38 | Title: Open Reproducible Publication Research
Abstract: Considerable scientific work involves locating, analyzing, systematizing, and synthesizing other publications. Its results end up in a paper's"background"section or in standalone articles, which include meta-analyses and systematic literature reviews. The required... | [] | Train |
16,732 | 10 | Title: Enhancing Embedding Representations of Biomedical Data using Logic Knowledge
Abstract: Knowledge Graph Embeddings (KGE) have become a quite popular class of models specifically devised to deal with ontologies and graph structure data, as they can implicitly encode statistical dependencies between entities and re... | [
1462
] | Test |
16,733 | 16 | Title: Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
Abstract: Vision and Language (VL) models offer an effective method for aligning representation spaces of images and text, leading to numerous applications such as cross-modal retrieval, visual question answering, captioning, and more.... | [
10624,
37987,
13700,
2184,
41104,
8084,
35388,
35263
] | Test |
16,734 | 8 | Title: Distributed no-regret edge resource allocation with limited communication
Abstract: To accommodate low latency and computation-intensive services, such as the Internet-of-Things (IoT), 5G networks are expected to have cloud and edge computing capabilities. To this end, we consider a generic network setup where d... | [] | Train |
16,735 | 16 | Title: DReg-NeRF: Deep Registration for Neural Radiance Fields
Abstract: Although Neural Radiance Fields (NeRF) is popular in the computer vision community recently, registering multiple NeRFs has yet to gain much attention. Unlike the existing work, NeRF2NeRF, which is based on traditional optimization methods and nee... | [
22072,
44707,
36493,
38751
] | Train |
16,736 | 10 | Title: Getting too personal(ized): The importance of feature choice in online adaptive algorithms
Abstract: Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact with it. We consider whether and... | [] | Validation |
16,737 | 16 | Title: Few-shot Semantic Image Synthesis with Class Affinity Transfer
Abstract: Semantic image synthesis aims to generate photo realistic images given a semantic segmentation map. Despite much recent progress, training them still requires large datasets of images annotated with per-pixel label maps that are extremely t... | [
43144
] | Train |
16,738 | 5 | Title: Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning
Abstract: Cloud-edge-device hierarchical federated learning (HFL) has been recently proposed to achieve communication-efficient and privacy-preserving distributed learning. However, there exist several critical chal... | [] | Test |
16,739 | 24 | Title: Private Federated Learning with Autotuned Compression
Abstract: We propose new techniques for reducing communication in private federated learning without the need for setting or tuning compression rates. Our on-the-fly methods automatically adjust the compression rate based on the error induced during training,... | [
21145
] | Train |
16,740 | 24 | Title: Proximal Curriculum for Reinforcement Learning Agents
Abstract: We consider the problem of curriculum design for reinforcement learning (RL) agents in contextual multi-task settings. Existing techniques on automatic curriculum design typically require domain-specific hyperparameter tuning or have limited theoret... | [
43335
] | Train |
16,741 | 24 | Title: Predictive Modeling through Hyper-Bayesian Optimization
Abstract: Model selection is an integral problem of model based optimization techniques such as Bayesian optimization (BO). Current approaches often treat model selection as an estimation problem, to be periodically updated with observations coming from the... | [] | Train |
16,742 | 24 | Title: Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
Abstract: Deep reinforcement learning has considerable potential to improve irrigation scheduling in many cropping systems by applying adaptive amounts of water based on various measurements over time. The goal is to dis... | [] | Train |
16,743 | 5 | Title: A Framework for Securing Health Information Using Blockchain in Cloud Hosted Cyber Physical Systems
Abstract: Electronic Health Records (EHRs) have undergone numerous technical improvements in recent years, including the incorporation of mobile devices with the cloud computing technologies to facilitate medical ... | [] | Test |
16,744 | 30 | Title: Universal Information Extraction with Meta-Pretrained Self-Retrieval
Abstract: Universal Information Extraction~(Universal IE) aims to solve different extraction tasks in a uniform text-to-structure generation manner. Such a generation procedure tends to struggle when there exist complex information structures t... | [] | Train |
16,745 | 10 | Title: GPT-4 Reticular Chemist for MOF Discovery
Abstract: We present a new framework integrating the AI model GPT-4 into the iterative process of reticular chemistry experimentation, leveraging a cooperative workflow of interaction between AI and a human apprentice. This GPT-4 Reticular Chemist is an integrated system... | [] | Train |
16,746 | 16 | Title: Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space
Abstract: The exploration of the latent space in StyleGANs and GAN inversion exemplify impressive real-world image editing, yet the trade-off between reconstruction quality and editing quality re... | [] | Test |
16,747 | 23 | Title: SAFR-AV: Safety Analysis of Autonomous Vehicles using Real World Data - An end-to-end solution for real world data driven scenario-based testing for pre-certification of AV stacks
Abstract: One of the major impediments in deployment of Autonomous Driving Systems (ADS) is their safety and reliability. The primary... | [] | Test |
16,748 | 24 | Title: Knowledge Distillation $\approx$ Label Smoothing: Fact or Fallacy?
Abstract: Contrary to its original interpretation as a facilitator of knowledge transfer from one model to another, some recent studies have suggested that knowledge distillation (KD) is instead a form of regularization. Perhaps the strongest sup... | [] | Train |
16,749 | 36 | Title: Average Envy-freeness for Indivisible Items
Abstract: In fair division applications, agents may have unequal entitlements reflecting their different contributions. Moreover, the contributions of agents may depend on the allocation itself. Previous fairness notions designed for agents with equal or pre-determined ... | [] | Train |
16,750 | 3 | Title: AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI
Abstract: As AI technology advances rapidly, concerns over the risks of bigness in digital markets are also growing. The EU's Digital Markets Act (DMA) aims to address these risks. Still, the current framework may not adequately ... | [] | Train |
16,751 | 27 | Title: GPS-aided Visual Wheel Odometry
Abstract: This paper introduces a novel GPS-aided visual-wheel odometry (GPS-VWO) for ground robots. The state estimation algorithm tightly fuses visual, wheeled encoder and GPS measurements in the way of Multi-State Constraint Kalman Filter (MSCKF). To avoid accumulating calibrat... | [] | Validation |
16,752 | 30 | Title: N-Gram Nearest Neighbor Machine Translation
Abstract: Nearest neighbor machine translation augments the Autoregressive Translation~(AT) with $k$-nearest-neighbor retrieval, by comparing the similarity between the token-level context representations of the target tokens in the query and the datastore. However, th... | [
3724
] | Train |
16,753 | 30 | Title: AlbMoRe: A Corpus of Movie Reviews for Sentiment Analysis in Albanian
Abstract: Lack of available resources such as text corpora for low-resource languages seriously hinders research on natural language processing and computational linguistics. This paper presents AlbMoRe, a corpus of 800 sentiment annotated mov... | [] | Train |
16,754 | 24 | Title: Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
Abstract: We introduce the $ARMOR_D$ methods as novel approaches to enhancing the adversarial robustness of deep learning models. These methods are based on a new class of optimal-transport-regularized divergences, constructed via ... | [] | Test |
16,755 | 16 | Title: Efficient 3D Semantic Segmentation with Superpoint Transformer
Abstract: We introduce a novel superpoint-based transformer architecture for efficient semantic segmentation of large-scale 3D scenes. Our method incorporates a fast algorithm to partition point clouds into a hierarchical superpoint structure, which ... | [
6923,
16926
] | Train |
16,756 | 8 | Title: Making Network Configuration Human Friendly
Abstract: This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices and minimizing errors. We examine the effectiveness of these models in translating high-le... | [
27282,
13700
] | Validation |
16,757 | 24 | Title: Generalizable Black-Box Adversarial Attack with Meta Learning
Abstract: In the scenario of black-box adversarial attack, the target model's parameters are unknown, and the attacker aims to find a successful adversarial perturbation based on query feedback under a query budget. Due to the limited feedback informa... | [
7312,
18347
] | Test |
16,758 | 30 | Title: LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
Abstract: We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription method achieving state-of-the-art performance on various lyrics transcription datasets, even in challenging genres such as ... | [
34821,
2887,
18411,
43566,
36751,
21778,
19640,
18777,
634
] | Train |
16,759 | 24 | Title: Automatic learning algorithm selection for classification via convolutional neural networks
Abstract: As in any other task, the process of building machine learning models can benefit from prior experience. Meta-learning for classifier selection gains knowledge from characteristics of different datasets and/or p... | [] | Test |
16,760 | 24 | Title: Learning Gradients of Convex Functions with Monotone Gradient Networks
Abstract: While much effort has been devoted to deriving and analyzing effective convex formulations of signal processing problems, the gradients of convex functions also have critical applications ranging from gradient-based optimization to ... | [] | Train |
16,761 | 16 | Title: HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Abstract: Recent neural architecture search (NAS)-based approaches have made great progress in the hyperspectral image (HSI) classification tasks. However, the architectures are usually optimized independently of the ... | [] | Train |
16,762 | 24 | Title: CKmeans and FCKmeans : Two deterministic initialization procedures for Kmeans algorithm using a modified crowding distance
Abstract: This paper presents two novel deterministic initialization procedures for K-means clustering based on a modified crowding distance. The procedures, named CKmeans and FCKmeans, use ... | [] | Validation |
16,763 | 27 | Title: Reachability-based Trajectory Design with Neural Implicit Safety Constraints
Abstract: Generating safe motion plans in real-time is a key requirement for deploying robot manipulators to assist humans in collaborative settings. In particular, robots must satisfy strict safety requirements to avoid self-damage or ... | [
39560,
3589
] | Train |
16,764 | 30 | Title: READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
Abstract: For many real-world applications, the user-generated inputs usually contain various noises due to speech recognition errors caused by linguistic variations or typographical errors (typos). Thus, it is crucial to test model p... | [] | Train |
16,765 | 8 | Title: Dynamic Reliability: Reliably Sending Unreliable Data
Abstract: 5G and Beyond networks promise low-latency support for applications that need to deliver mission-critical data with strict deadlines. However, innovations on the physical and medium access layers are not sufficient. Additional considerations are nee... | [] | Train |
16,766 | 30 | Title: Global Constraints with Prompting for Zero-Shot Event Argument Classification
Abstract: Determining the role of event arguments is a crucial subtask of event extraction. Most previous supervised models leverage costly annotations, which is not practical for open-domain applications. In this work, we propose to u... | [
19094
] | Validation |
16,767 | 16 | Title: M3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Abstract: Due to the scarcity of manually annotated data required for fine-grained video understanding, few-shot fine-grained (FS-FG) action recognition has gained significant attention, with the aim of classifying nove... | [
4174,
12750,
40723,
949,
18429
] | Validation |
16,768 | 23 | Title: Edge to Cloud Tools: A Multivocal Literature Review
Abstract: Edge-to-cloud computing is an emerging paradigm for distributing computational tasks between edge devices and cloud resources. Different approaches for orchestration, offloading, and many more purposes have been introduced in research. However, it is ... | [] | Validation |
16,769 | 8 | Title: What Will Wi-Fi 8 Be? A Primer on IEEE 802.11bn Ultra High Reliability
Abstract: What will Wi-Fi 8 be? Driven by the strict requirements of emerging applications, next-generation Wi-Fi is set to prioritize Ultra High Reliability (UHR) above all. In this paper, we explore the journey towards IEEE 802.11bn UHR, th... | [
17233,
20477
] | Train |
16,770 | 24 | Title: Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
Abstract: Due to the significant computational challenge of training large-scale graph neural networks (GNNs), various sparse learning techniques have been exploited to reduce memory and storage costs. Examples include \textit{graph... | [
2697
] | Train |
16,771 | 16 | Title: Vocabulary-free Image Classification
Abstract: Recent advances in large vision-language models have revolutionized the image classification paradigm. Despite showing impressive zero-shot capabilities, a pre-defined set of categories, a.k.a. the vocabulary, is assumed at test time for composing the textual prompt... | [
10624,
29981
] | Test |
16,772 | 24 | Title: Federated Learning Incentive Mechanism under Buyers' Auction Market
Abstract: Auction-based Federated Learning (AFL) enables open collaboration among self-interested data consumers and data owners. Existing AFL approaches are commonly under the assumption of sellers' market in that the service clients as sellers... | [] | Train |
16,773 | 8 | Title: Analytic Network Traffic Prediction Based on User Behavior Modeling
Abstract: This paper proposes an interpretable user-behavior-based (UBB) network traffic prediction (NTP) method. Based on user behavior, a weekly traffic demand profile can be naturally sorted into three categories, i.e., weekday, Saturday, and... | [] | Validation |
16,774 | 24 | Title: The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Abstract: In this work, we study the implications of the implicit bias of gradient flow on generalization and adversarial robustness in ReLU networks. We focus on a setting where the data consists of clusters and the correlat... | [] | Train |
16,775 | 16 | Title: SpaDen : Sparse and Dense Keypoint Estimation for Real-World Chart Understanding
Abstract: We introduce a novel bottom-up approach for the extraction of chart data. Our model utilizes images of charts as inputs and learns to detect keypoints (KP), which are used to reconstruct the components within the plot area... | [] | Validation |
16,776 | 16 | Title: Deep Image Harmonization with Learnable Augmentation
Abstract: The goal of image harmonization is adjusting the foreground appearance in a composite image to make the whole image harmonious. To construct paired training images, existing datasets adopt different ways to adjust the illumination statistics of foreg... | [] | Train |
16,777 | 24 | Title: Tweet's popularity dynamics
Abstract: This article charts the work of a 4 month project aimed at automatically identifying patterns of tweets’ popularity evolution using Machine Learning and Deep Learning techniques. To apprehend both the data and the extent of the problem, a straightforward clustering algorithm... | [] | Train |
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