node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
39,778 | 3 | Title: Characterizing Manipulation from AI Systems
Abstract: Manipulation is a common concern in many domains, such as social media, advertising, and chatbots. As AI systems mediate more of our interactions with the world, it is important to understand the degree to which AI systems might manipulate humans \textit{with... | [
45923,
29414,
40966,
19720,
41638,
6347,
36528,
8945,
29779,
23477,
35927,
21401,
634,
13082
] | Train |
39,779 | 16 | Title: Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment
Abstract: Large-scale vision-language models (VLMs), e.g., CLIP, learn broad visual concepts from tedious training data, showing superb generalization ability. Amount of prompt learning methods have been proposed to efficiently adapt the V... | [] | Train |
39,780 | 16 | Title: ViDaS Video Depth-aware Saliency Network
Abstract: We introduce ViDaS, a two-stream, fully convolutional Video, Depth-Aware Saliency network to address the problem of attention modeling ``in-the-wild", via saliency prediction in videos. Contrary to existing visual saliency approaches using only RGB frames as inp... | [] | Train |
39,781 | 25 | Title: GNCformer Enhanced Self-attention for Automatic Speech Recognition
Abstract: In this paper,an Enhanced Self-Attention (ESA) mechanism has been put forward for robust feature extraction.The proposed ESA is integrated with the recursive gated convolution and self-attention mechanism.In particular, the former is us... | [] | Train |
39,782 | 16 | Title: A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
Abstract: In recent years, transformer architecture has been a dominating paradigm in many applications, including affective computing. In this report, we propose our transformer-based model to handle Emotion... | [
38944,
23458,
32166,
23627,
1305
] | Train |
39,783 | 16 | Title: Module-Wise Network Quantization for 6D Object Pose Estimation
Abstract: Many edge applications, such as collaborative robotics and spacecraft rendezvous, can benefit from 6D object pose estimation, but must do so on embedded platforms. Unfortunately, existing 6D pose estimation networks are typically too large ... | [] | Train |
39,784 | 34 | Title: Characterization of random walks on space of unordered trees using efficient metric simulation
Abstract: The simple random walk on $\mathbb{Z}^p$ shows two drastically different behaviours depending on the value of $p$: it is recurrent when $p\in\{1,2\}$ while it escapes (with a rate increasing with $p$) as soon... | [] | Validation |
39,785 | 24 | Title: Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees
Abstract: Linear Temporal Logic (LTL) is widely used to specify high-level objectives for system policies, and it is highly desirable for autonomous systems to learn the optimal policy with respect to such speci... | [] | Train |
39,786 | 16 | Title: Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
Abstract: The performances of defect inspection have been severely hindered by insufficient defect images in industries, which can be alleviated by generating more samples as data augmentation. We propose the first defect image generation met... | [
23364
] | Train |
39,787 | 34 | Title: Linear-time computation of generalized minimal absent words for multiple strings
Abstract: A string $w$ is called a minimal absent word (MAW) for a string $S$ if $w$ does not occur as a substring in $S$ and all proper substrings of $w$ occur in $S$. MAWs are well-studied combinatorial string objects that have po... | [
44941
] | Train |
39,788 | 16 | Title: Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Abstract: Recently, multi-modal vision-language foundation models have gained significant attention in the medical field. While these models offer great opportunities, they still fac... | [
1120,
28288,
22276,
2638,
42425
] | Train |
39,789 | 10 | Title: An overview on the evaluated video retrieval tasks at TRECVID 2022
Abstract: The TREC Video Retrieval Evaluation (TRECVID) is a TREC-style video analysis and retrieval evaluation with the goal of promoting progress in research and development of content-based exploitation and retrieval of information from digita... | [] | Test |
39,790 | 24 | Title: Flexible Channel Dimensions for Differentiable Architecture Search
Abstract: Finding optimal channel dimensions (i.e., the number of filters in DNN layers) is essential to design DNNs that perform well under computational resource constraints. Recent work in neural architecture search aims at automating the opti... | [] | Train |
39,791 | 8 | Title: AROW: A V2X-based Automated Right-of-Way Algorithm for Distributed Cooperative Intersection Management
Abstract: Safe and efficient intersection management is critical for an improved driving experience. As per several studies, an increasing number of crashes and fatalities occur every year at intersections. Mos... | [] | Train |
39,792 | 16 | Title: Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance
Abstract: Robust obstacle avoidance is one of the critical steps for successful goal-driven indoor navigation tasks.Due to the obstacle missing in the visual image and the possible missed detection issue, visual image-based obstac... | [] | Test |
39,793 | 16 | Title: Human-to-Human Interaction Detection
Abstract: A comprehensive understanding of interested human-to-human interactions in video streams, such as queuing, handshaking, fighting and chasing, is of immense importance to the surveillance of public security in regions like campuses, squares and parks. Different from ... | [] | Test |
39,794 | 24 | Title: Mirror Diffusion Models
Abstract: Diffusion models have successfully been applied to generative tasks in various continuous domains. However, applying diffusion to discrete categorical data remains a non-trivial task. Moreover, generation in continuous domains often requires clipping in practice, which motivates... | [] | Test |
39,795 | 30 | Title: Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
Abstract: The Bidirectional Encoder Representations from Transformers (BERT) were proposed in the natural language process (NLP) and shows promising results. Recently researchers applied the BERT to s... | [] | Train |
39,796 | 16 | Title: Generic Event Boundary Detection in Video with Pyramid Features
Abstract: Generic event boundary detection (GEBD) aims to split video into chunks at a broad and diverse set of actions as humans naturally perceive event boundaries. In this study, we present an approach that considers the correlation between neigh... | [] | Validation |
39,797 | 16 | Title: Post-training Model Quantization Using GANs for Synthetic Data Generation
Abstract: Quantization is a widely adopted technique for deep neural networks to reduce the memory and computational resources required. However, when quantized, most models would need a suitable calibration process to keep their performan... | [] | Validation |
39,798 | 8 | Title: Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges
Abstract: A Mobility Digital Twin is an emerging implementation of digital twin technology in the transportation domain, which creates digital replicas for various physical mobility entities, such as vehicles, drivers, an... | [
2865,
26114
] | Train |
39,799 | 24 | Title: Differentiable Multi-Target Causal Bayesian Experimental Design
Abstract: We introduce a gradient-based approach for the problem of Bayesian optimal experimental design to learn causal models in a batch setting -- a critical component for causal discovery from finite data where interventions can be costly or ris... | [
22381
] | Train |
39,800 | 27 | Title: Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation
Abstract: This paper proposes Contour Context, a simple, effective, and efficient topological loop closure detection pipeline with accurate 3-DoF metric pose estimation, targeting the urban autonomous driving... | [
8514
] | Test |
39,801 | 8 | Title: PASCAL: A Learning-aided Cooperative Bandwidth Control Policy for Hierarchical Storage Systems
Abstract: Nowadays, the Hierarchical Storage System (HSS) is considered as an ideal model to meet the cost-performance demand. The data migration between storing tiers of HSS is the way to achieve the cost-performance ... | [] | Train |
39,802 | 31 | Title: Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
Abstract: Context: User intent modeling is a crucial process in Natural Language Processing that aims to identify the underlying purpose behind a user's request, enabling personalized responses. With a vast ... | [
22334
] | Test |
39,803 | 15 | Title: Scalable Hierarchical Instruction Cache for Ultralow-Power Processors Clusters
Abstract: High performance and energy efficiency are critical requirements for Internet of Things (IoT) end-nodes. Exploiting tightly coupled clusters of programmable processors (CMPs) has recently emerged as a suitable solution to ad... | [] | Validation |
39,804 | 2 | Title: Synthesis with Explicit Dependencies
Abstract: Quantified Boolean Formulas (QBF) extend propositional logic with quantification $\forall,\exists$. In QBF, an existentially quantified variable is allowed to depend on all universally quantified variables in its scope. Dependency Quantified Boolean Formulas (DQBF) ... | [] | Train |
39,805 | 11 | Title: Networked Communication for Decentralised Agents in Mean-Field Games
Abstract: We introduce networked communication to the mean-field game framework. In particular, we look at oracle-free settings where $N$ decentralised agents learn along a single, non-episodic evolution path of the empirical system, such as we... | [
11698
] | Train |
39,806 | 16 | Title: Mesh-MLP: An all-MLP Architecture for Mesh Classification and Semantic Segmentation
Abstract: With the rapid development of geometric deep learning techniques, many mesh-based convolutional operators have been proposed to bridge irregular mesh structures and popular backbone networks. In this paper, we show that... | [
29873
] | Train |
39,807 | 30 | Title: A Concept Knowledge Graph for User Next Intent Prediction at Alipay
Abstract: This paper illustrates the technologies of user next intent prediction with a concept knowledge graph. The system has been deployed on the Web at Alipay1, serving more than 100 million daily active users. To explicitly characterize use... | [] | Validation |
39,808 | 36 | Title: What Drives the (In)stability of a Stablecoin?
Abstract: In May 2022, an apparent speculative attack, followed by market panic, led to the precipitous downfall of UST, one of the most popular stablecoins at that time. However, UST is not the only stablecoin to have been depegged in the past. Designing resilient ... | [] | Test |
39,809 | 16 | Title: POCO: 3D Pose and Shape Estimation with Confidence
Abstract: The regression of 3D Human Pose and Shape (HPS) from an image is becoming increasingly accurate. This makes the results useful for downstream tasks like human action recognition or 3D graphics. Yet, no regressor is perfect, and accuracy can be affected... | [
41232
] | Test |
39,810 | 38 | Title: How many preprints have actually been printed and why: a case study of computer science preprints on arXiv
Abstract: nan | [] | Validation |
39,811 | 27 | Title: Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception
Abstract: Correspondence identification (CoID) is an essential component for collaborative perception in multi-robot systems, such as connected autonomous vehicles. The goal of CoID is to identify the correspondence of objec... | [] | Train |
39,812 | 25 | Title: Leveraging Pre-trained AudioLDM for Text to Sound Generation: A Benchmark Study
Abstract: Deep neural networks have recently achieved breakthroughs in sound generation with text prompts. Despite their promising performance, current text-to-sound generation models face issues on small-scale datasets (e.g., overfi... | [
4481,
36071,
2375,
15628,
37689
] | Validation |
39,813 | 16 | Title: Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?
Abstract: Text-conditioned image generation models have recently achieved astonishing results in image quality and text alignment and are consequently employed in a fast-growing number of applications. Since ... | [
44741,
42145,
45477
] | Train |
39,814 | 16 | Title: Application-Driven AI Paradigm for Person Counting in Various Scenarios
Abstract: Person counting is considered as a fundamental task in video surveillance. However, the scenario diversity in practical applications makes it difficult to exploit a single person counting model for general use. Consequently, engine... | [] | Validation |
39,815 | 16 | Title: Factors that affect Camera based Self-Monitoring of Vitals in the Wild
Abstract: The reliability of the results of self monitoring of the vitals in the wild using medical devices or wearables or camera based smart phone solutions is subject to variabilities such as position of placement, hardware of the device a... | [] | Validation |
39,816 | 30 | Title: Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks
Abstract: One of the key AI tools for textual corpora exploration is natural language question-answering (QA). Unlike keyword-based search engines, QA algorithms receive and process... | [
5578,
154,
30054
] | Train |
39,817 | 3 | Title: The Hidden Shortcomings of (D)AOs - An Empirical Study of On-Chain Governance
Abstract: Decentralized autonomous organizations (DAOs) are a recent innovation in organizational structures, which are already widely used in the blockchain ecosystem. We empirically study the on-chain governance systems of 21 DAOs an... | [
6408
] | Validation |
39,818 | 16 | Title: A Generalized Multi-Modal Fusion Detection Framework
Abstract: LiDAR point clouds have become the most common data source in autonomous driving. However, due to the sparsity of point clouds, accurate and reliable detection cannot be achieved in specific scenarios. Because of their complementarity with point clou... | [] | Train |
39,819 | 27 | Title: Intentionally-underestimated Value Function at Terminal State for Temporal-difference Learning with Mis-designed Reward
Abstract: Robot control using reinforcement learning has become popular, but its learning process generally terminates halfway through an episode for safety and time-saving reasons. This study ... | [
29570
] | Train |
39,820 | 6 | Title: "My Zelda Cane": Strategies Used by Blind Players to Play Visual-Centric Digital Games
Abstract: Mainstream games are typically designed around the visual experience, with behaviors and interactions highly dependent on vision. Despite this, blind people are playing mainstream games while dealing with and overcom... | [] | Train |
39,821 | 31 | Title: Optimizing Guided Traversal for Fast Learned Sparse Retrieval
Abstract: Recent studies show that BM25-driven dynamic index skipping can greatly accelerate MaxScore-based document retrieval based on the learned sparse representation derived by DeepImpact. This paper investigates the effectiveness of such a traver... | [
31631
] | Train |
39,822 | 27 | Title: Category Theory for Autonomous Robots: The Marathon 2 Use Case
Abstract: Model-based systems engineering (MBSE) is a methodology that exploits system representation during the entire system life-cycle. The use of formal models has gained momentum in robotics engineering over the past few years. Models play a cru... | [] | Validation |
39,823 | 30 | Title: Testing the Depth of ChatGPT's Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5's Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lacking
Abstract: Over the eight months since its release, ChatGPT and its underlying model, GPT3.5, have garnered massive attention, due to ... | [
20228,
5,
11273,
31755,
1292,
44173,
7695,
12305,
19474,
3609,
37531,
19614,
2722,
9508,
7078,
15527,
45364,
39733,
24118,
1854,
43718,
1488,
18004,
45655,
11747,
1899,
5104,
9841
] | Validation |
39,824 | 16 | Title: Texture-Based Input Feature Selection for Action Recognition
Abstract: The performance of video action recognition has been significantly boosted by using motion representations within a two-stream Convolutional Neural Network (CNN) architecture. However, there are a few challenging problems in action recognitio... | [] | Train |
39,825 | 9 | Title: Complexity results for matching cut problems in graphs without long induced paths
Abstract: In a graph, a (perfect) matching cut is an edge cut that is a (perfect) matching. Matching Cut (MC), respectively, Perfect Matching Cut (PMC), is the problem of deciding whether a given graph has a matching cut, respectiv... | [] | Train |
39,826 | 23 | Title: ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning
Abstract: Large-scale pre-trained models such as CodeBERT, GraphCodeBERT have earned widespread attention from both academia and industry. Attributed to the superior ability in code representation, they have been further applied in multiple d... | [
1761,
18786,
34243,
29096,
23837
] | Train |
39,827 | 20 | Title: Efficient Algorithms for Euclidean Steiner Minimal Tree on Near-Convex Terminal Sets
Abstract: The Euclidean Steiner Minimal Tree problem takes as input a set $\mathcal P$ of points in the Euclidean plane and finds the minimum length network interconnecting all the points of $\mathcal P$. In this paper, in conti... | [] | Test |
39,828 | 24 | Title: MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation
Abstract: The automatic detection of atrial fibrillation based on electrocardiograph (ECG) signals has received wide attention both clinically and practically. It is challenging t... | [] | Validation |
39,829 | 27 | Title: Direct Visual Servoing Based on Discrete Orthogonal Moments
Abstract: This paper proposes a new approach to achieve direct visual servoing (DVS) based on discrete orthogonal moments (DOMs). DVS is performed in such a way that the extraction of geometric primitives, matching, and tracking steps in the conventiona... | [] | Train |
39,830 | 27 | Title: Critical Scenario Generation for Developing Trustworthy Autonomy
Abstract: Autonomous systems, such as self-driving vehicles, quadrupeds, and robot manipulators, are largely enabled by the rapid development of artificial intelligence. However, such systems involve several trustworthy challenges such as safety, r... | [
25824
] | Train |
39,831 | 27 | Title: MAP-NBV: Multi-agent Prediction-guided Next-Best-View Planning for Active 3D Object Reconstruction
Abstract: We propose MAP-NBV, a prediction-guided active algorithm for 3D reconstruction with multi-agent systems. Prediction-based approaches have shown great improvement in active perception tasks by learning the... | [
608
] | Train |
39,832 | 34 | Title: On Minimizing Generalized Makespan on Unrelated Machines
Abstract: We consider the Generalized Makespan Problem (GMP) on unrelated machines, where we are given $n$ jobs and $m$ machines and each job $j$ has arbitrary processing time $p_{ij}$ on machine $i$. Additionally, there is a general symmetric monotone nor... | [] | Train |
39,833 | 24 | Title: Interpretable Architecture Neural Networks for Function Visualization
Abstract: In many scientific research fields, understanding and visualizing a black-box function in terms of the effects of all the input variables is of great importance. Existing visualization tools do not allow one to visualize the effects ... | [] | Validation |
39,834 | 30 | Title: ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification
Abstract: ChatGPT has shown strong capabilities in natural language generation tasks, which naturally leads researchers to explore where its abilities end. In this paper, we examine whether ChatGPT can b... | [
12128,
38849,
11273,
15049,
37931,
3280,
29072,
13139,
116,
23672,
39642,
43930
] | Train |
39,835 | 36 | Title: On the Complexity of the Two-Stage Majoritarian Rule
Abstract: Sequential voting rules have been extensively used in parliamentary and legislative decision making. After observing that the prevalent successive and the amendment rules fail several fundamental axioms, Horan and Sprumont [2021] proposed very recent... | [] | Train |
39,836 | 24 | Title: Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model
Abstract: In the realm of disaster response operations, effective resource management is crucial. This research introduces an innovative approach that proactively determines the optimal quantities of resources that should ... | [] | Train |
39,837 | 24 | Title: Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
Abstract: This paper presents a novel approach to simulating electronic health records (EHRs) using diffusion probabilistic models (DPMs). Specifically, we demonstrate the effectiveness of DPMs in synthesising l... | [
684,
17941
] | Train |
39,838 | 10 | Title: Adaptive PD Control using Deep Reinforcement Learning for Local-Remote Teleoperation with Stochastic Time Delays
Abstract: Local-remote systems allow robots to execute complex tasks in hazardous environments such as space and nuclear power stations. However, establishing accurate positional mapping between local... | [] | Train |
39,839 | 27 | Title: Toward Process Controlled Medical Robotic System
Abstract: Medical errors, defined as unintended acts either of omission or commission that cause the failure of medical actions, are the third leading cause of death in the United States. The application of autonomy and robotics can alleviate some causes of medica... | [
15409
] | Validation |
39,840 | 24 | Title: Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Abstract: Are foundation models secure from malicious actors? In this work, we focus on the image input to a vision-language model (VLM). We discover image hijacks, adversarial images that control generative models at runtime. We introduc... | [
29280,
37987,
33414,
744,
18764,
17295,
10800,
41328,
45301,
43641,
21180,
45245
] | Validation |
39,841 | 24 | Title: A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Abstract: Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the modeling of spatial-temporal data in a single mode, lacking the... | [
16576
] | Test |
39,842 | 27 | Title: Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots
Abstract: We develop a resilient binary hypothesis testing frame-work for decision making in adversarial multi-robot crowdsensing tasks. This framework exploits stochastic trust observations between robots to arrive at tractable, resilient d... | [] | Train |
39,843 | 24 | Title: Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting
Abstract: Traffic flow forecasting (TFF) is of great importance to the construction of Intelligent Transportation Systems (ITS). To mitigate communication burden and tackle with the problem of privacy leakage aroused by cent... | [
30672
] | Test |
39,844 | 30 | Title: Teach model to answer questions after comprehending the document
Abstract: Multi-choice Machine Reading Comprehension (MRC) is a challenging extension of Natural Language Processing (NLP) that requires the ability to comprehend the semantics and logical relationships between entities in a given text. The MRC tas... | [] | Train |
39,845 | 27 | Title: Feasibility of Local Trajectory Planning for Level-2+ Semi-autonomous Driving without Absolute Localization
Abstract: Autonomous driving has long grappled with the need for precise absolute localization, making full autonomy elusive and raising the capital entry barriers for startups. This study delves into the ... | [] | Train |
39,846 | 30 | Title: Efficient Finetuning Large Language Models For Vietnamese Chatbot
Abstract: Large language models (LLMs), such as GPT-4, PaLM, and LLaMa, have been shown to achieve remarkable performance across a variety of natural language tasks. Recent advancements in instruction tuning bring LLMs with ability in following us... | [
33220,
13700,
37919
] | Train |
39,847 | 16 | Title: CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations
Abstract: To improve the generalization of 3D human pose estimators, many existing deep learning based models focus on adding different augmentations to training poses. However, data augmentation techniques ... | [
23339
] | Train |
39,848 | 24 | Title: Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron
Abstract: This paper considers the problem of learning a single ReLU neuron with squared loss (a.k.a., ReLU regression) in the overparameterized regime, where the input dimension can exceed the number of samples. We analyze a Perceptron-type ... | [] | Validation |
39,849 | 16 | Title: Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything
Abstract: The research on extrinsic calibration between Light Detection and Ranging(LiDAR) and camera are being promoted to a more accurate, automatic and generic manner. Since deep learning has been employed in calibr... | [
12704,
35263
] | Train |
39,850 | 24 | Title: Integrating Curricula with Replays: Its Effects on Continual Learning
Abstract: Humans engage in learning and reviewing processes with curricula when acquiring new skills or knowledge. This human learning behavior has inspired the integration of curricula with replay methods in continual learning agents. The goa... | [] | Train |
39,851 | 37 | Title: Extending FAIR to FAIREr: Cognitive Interoperability and the Human Explorability of Data and Metadata
Abstract: Making data and metadata FAIR (Findable, Accessible, Interoperable, Reusable) has become an important objective in research and industry, and knowledge graphs and ontologies have been cornerstones in m... | [
27028,
12441,
9148
] | Train |
39,852 | 30 | Title: Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
Abstract: To explain the predicted answers and evaluate the reasoning abilities of models, several studies have utilized underlying reasoning (UR) tasks in multi-hop question answering (QA) datasets. However, it remains... | [
22626
] | Train |
39,853 | 4 | Title: Evil Operation: Breaking Speaker Recognition with PaddingBack
Abstract: Machine Learning as a Service (MLaaS) has gained popularity due to advancements in machine learning. However, untrusted third-party platforms have raised concerns about AI security, particularly in backdoor attacks. Recent research has shown... | [
43916
] | Train |
39,854 | 24 | Title: Active Continual Learning: Labelling Queries in a Sequence of Tasks
Abstract: Acquiring new knowledge without forgetting what has been learned in a sequence of tasks is the central focus of continual learning (CL). While tasks arrive sequentially, the training data are often prepared and annotated independently,... | [
25221
] | Validation |
39,855 | 25 | Title: SoundStorm: Efficient Parallel Audio Generation
Abstract: We present SoundStorm, a model for efficient, non-autoregressive audio generation. SoundStorm receives as input the semantic tokens of AudioLM, and relies on bidirectional attention and confidence-based parallel decoding to generate the tokens of a neural... | [
2887,
18777,
9610,
8015,
21778,
6455,
10169
] | Test |
39,856 | 25 | Title: A Multimodal Dynamical Variational Autoencoder for Audiovisual Speech Representation Learning
Abstract: High-dimensional data such as natural images or speech signals exhibit some form of regularity, preventing their dimensions from varying independently. This suggests that there exists a smaller dimensional lat... | [] | Train |
39,857 | 30 | Title: Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Abstract: Natural Language-conditioned reinforcement learning (RL) enables the agents to follow human instructions. Previous approaches generally implemented language-conditioned RL by providing human in... | [] | Train |
39,858 | 16 | Title: FABLE : Fabric Anomaly Detection Automation Process
Abstract: Unsupervised anomaly in industry has been a concerning topic and a stepping stone for high performance industrial automation process. The vast majority of industry-oriented methods focus on learning from good samples to detect anomaly notwithstanding ... | [
37261
] | Test |
39,859 | 34 | Title: Maintaining Triconnected Components under Node Expansion
Abstract: SPQR-trees are a central component of graph drawing and are also important in many further areas of computer science. From their inception onwards, they have always had a strong relation to dynamic algorithms maintaining information, e.g., on pla... | [] | Train |
39,860 | 30 | Title: Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks
Abstract: Large language models have demonstrated robust performance on various language tasks using zero-shot or few-shot learning paradigms. While being actively researched, multimodal models that can addit... | [] | Train |
39,861 | 26 | Title: Normalized mutual information is a biased measure for classification and community detection
Abstract: Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we show that results returned by the normalized mu... | [] | Train |
39,862 | 30 | Title: PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Abstract: Perceiving multi-modal information and fulfilling dialogues with humans is a long-term goal of artificial intelligence. Pre-training is commonly regarded as an effective approach for multi-modal dialogue. However... | [
21968,
27154,
20692,
7982
] | Train |
39,863 | 16 | Title: Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning
Abstract: While many FSCIL studies have been undertaken, achieving satisfactory performance, especially during incremental sessions, has remained challenging. One prominent challenge is that the encoder, trained with an ample base sess... | [
20738,
24890,
7029,
21354
] | Test |
39,864 | 24 | Title: UPFL: Unsupervised Personalized Federated Learning towards New Clients
Abstract: Personalized federated learning has gained significant attention as a promising approach to address the challenge of data heterogeneity. In this paper, we address a relatively unexplored problem in federated learning. When a federat... | [] | Train |
39,865 | 27 | Title: SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
Abstract: This paper proposes a GNN-based method for exploiting semantics and local geometry to guide the identification of reliable pointcloud registration candidates. Semantic and morphological features of the environment serve as key ... | [] | Train |
39,866 | 16 | Title: I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models
Abstract: Modern image-to-text systems typically adopt the encoder-decoder framework, which comprises two main components: an image encoder, responsible for extracting image features, and a transformer-based decoder, used for generating capti... | [
10624,
14610,
44484,
7623
] | Train |
39,867 | 16 | Title: Object-based Probabilistic Similarity Evidence of Sparse Latent Features from Fully Convolutional Networks
Abstract: Similarity analysis using neural networks has emerged as a powerful technique for understanding and categorizing complex patterns in various domains. By leveraging the latent representations learn... | [] | Train |
39,868 | 24 | Title: Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts
Abstract: Training machine learning models from data with weak supervision and dataset shifts is still challenging. Designing algorithms when these two situations arise has not been explored much, and existing algori... | [] | Train |
39,869 | 4 | Title: TurboTLS: TLS connection establishment with 1 less round trip
Abstract: We show how to establish TLS connections using one less round trip. In our approach, which we call TurboTLS, the initial client-to-server and server-to-client flows of the TLS handshake are sent over UDP rather than TCP. At the same time, in... | [] | Validation |
39,870 | 24 | Title: Assessing Dataset Quality Through Decision Tree Characteristics in Autoencoder-Processed Spaces
Abstract: In this paper, we delve into the critical aspect of dataset quality assessment in machine learning classification tasks. Leveraging a variety of nine distinct datasets, each crafted for classification tasks ... | [] | Train |
39,871 | 16 | Title: Temporal Perceiving Video-Language Pre-training
Abstract: Video-Language Pre-training models have recently significantly improved various multi-modal downstream tasks. Previous dominant works mainly adopt contrastive learning to achieve global feature alignment across modalities. However, the local associations ... | [
3076
] | Train |
39,872 | 24 | Title: Provable convergence guarantees for black-box variational inference
Abstract: While black-box variational inference is widely used, there is no proof that its stochastic optimization succeeds. We suggest this is due to a theoretical gap in existing stochastic optimization proofs-namely the challenge of gradient ... | [] | Train |
39,873 | 30 | Title: Lost in the Middle: How Language Models Use Long Contexts
Abstract: While recent language models have the ability to take long contexts as input, relatively little is known about how well they use longer context. We analyze language model performance on two tasks that require identifying relevant information wit... | [
13700,
44420,
22801,
10900,
16917,
27669,
28820,
34208,
38948,
42405,
32552,
19885,
41392,
28978,
40882,
9012,
41010,
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19909,
37192,
42574,
32213,
39125,
37209,
15325,
26208,
31713,
31717,
33127,
41453,
383... | Validation |
39,874 | 28 | Title: OTFS-SCMA: A Downlink NOMA Scheme for Massive Connectivity in High Mobility Channels
Abstract: This paper studies a downlink system that combines orthogonal-time-frequency-space (OTFS) modulation and sparse code multiple access (SCMA) to support massive connectivity in high-mobility environments. We propose a cr... | [
5490
] | Train |
39,875 | 16 | Title: Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis
Abstract: Understanding digital documents is like solving a puzzle, especially historical ones. Document Layout Analysis (DLA) helps with this puzzle by dividing documents into sections like paragraphs, images, and tables. This is c... | [
35156
] | Train |
39,876 | 25 | Title: The Newsbridge -Telecom SudParis VoxCeleb Speaker Recognition Challenge 2022 System Description
Abstract: We describe the system used by our team for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC 2022) in the speaker diarization track. Our solution was designed around a new combination of voice activit... | [] | Test |
39,877 | 4 | Title: Modular zk-Rollup On-Demand
Abstract: nan | [] | Validation |
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