node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
41,078 | 33 | Title: An Analysis of On-the-fly Determinization of Finite-state Automata
Abstract: In this paper we establish an abstraction of on-the-fly determinization of finite-state automata using transition monoids and demonstrate how it can be applied to bound the asymptotics. We present algebraic and combinatorial properties ... | [] | Test |
41,079 | 16 | Title: Learning and Evaluating Human Preferences for Conversational Head Generation
Abstract: A reliable and comprehensive evaluation metric that aligns with manual preference assessments is crucial for conversational head video synthesis methods development. Existing quantitative evaluations often fail to capture the ... | [
34800,
3969,
20075,
35071
] | Train |
41,080 | 13 | Title: AutoST: Training-free Neural Architecture Search for Spiking Transformers
Abstract: Spiking Transformers have gained considerable attention because they achieve both the energy efficiency of Spiking Neural Networks (SNNs) and the high capacity of Transformers. However, the existing Spiking Transformer architectu... | [
39312,
13962
] | Validation |
41,081 | 9 | Title: A Discharging Method: Improved Kernels for Edge Triangle Packing and Covering
Abstract: \textsc{Edge Triangle Packing} and \textsc{Edge Triangle Covering} are dual problems extensively studied in the field of parameterized complexity. Given a graph $G$ and an integer $k$, \textsc{Edge Triangle Packing} seeks to ... | [] | Train |
41,082 | 28 | Title: Joint Task Offloading and Cache Placement for Energy-Efficient Mobile Edge Computing Systems
Abstract: This letter investigates a cache-enabled multiuser mobile edge computing (MEC) system with dynamic task arrivals, taking into account the impact of proactive cache placement on the system’s overall energy consu... | [] | Test |
41,083 | 6 | Title: PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions
Abstract: While diffusion-based text-to-image (T2I) models provide a simple and powerful way to generate images, guiding this generation remains a challenge. For concepts that are difficult to describe through language, users m... | [
16103,
34074,
11820,
40915,
41146
] | Train |
41,084 | 16 | Title: Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
Abstract: Recently, Diffusion Models (DMs) boost a wave in AI for Art yet raise new copyright concerns, where infringers benefit from using unauthorized paintings to train DMs to generate novel paintings i... | [
4649,
29200,
19249,
46196,
4345
] | Train |
41,085 | 10 | Title: FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Abstract: We present FengWu, an advanced data-driven global medium-range weather forecast system based on Artificial Intelligence (AI). Different from existing data-driven weather forecast methods, FengWu solves the medium-rang... | [
9610,
31380,
35958
] | Train |
41,086 | 10 | Title: Maneuver Decision-Making Through Automatic Curriculum Reinforcement Learning Without Handcrafted Reward functions
Abstract: Maneuver decision-making is essential for autonomous air combat. However, previous methods usually make decisions to aim at the target instead of hitting the target and use discrete action ... | [
4822
] | Validation |
41,087 | 23 | Title: Structured Chain-of-Thought Prompting for Code Generation
Abstract: Large Language Models (LLMs) (e.g., ChatGPT) have shown impressive performance in code generation. LLMs take prompts as inputs, and Chain-of-Thought (CoT) prompting is the state-of-the-art prompting technique. CoT prompting asks LLMs first to ge... | [
14592,
32450,
2980,
13700,
15952,
43569,
33490,
3355,
31388
] | Validation |
41,088 | 27 | Title: Learning Contact-based Navigation in Crowds
Abstract: Navigation strategies that intentionally incorporate contact with humans (i.e."contact-based"social navigation) in crowded environments are largely unexplored even though collision-free social navigation is a well studied problem. Traditional social navigatio... | [] | Train |
41,089 | 31 | Title: NEON: Living Needs Prediction System in Meituan
Abstract: Living needs refer to the various needs in human's daily lives for survival and well-being, including food, housing, entertainment, etc. At life service platforms that connect users to service providers, such as Meituan, the problem of living needs predic... | [] | Train |
41,090 | 27 | Title: Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
Abstract: Learning priors on trajectory distributions can help accelerate robot motion planning optimization. Given previously successful plans, learning trajectory generative models as priors for a new planning problem is hi... | [] | Train |
41,091 | 30 | Title: Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarization on Social Media Discourse
Abstract: With the growth of online news over the past decade, empirical studies on political discourse and news consumption have focused on the phenomenon of filter bubbles and echo... | [] | Test |
41,092 | 24 | Title: Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part I
Abstract: nan | [] | Validation |
41,093 | 16 | Title: Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning
Abstract: Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Declines in bird populations can result in reduced ecosystem services, ... | [] | Train |
41,094 | 24 | Title: Mining bias-target Alignment from Voronoi Cells
Abstract: Despite significant research efforts, deep neural networks are still vulnerable to biases: this raises concerns about their fairness and limits their generalization. In this paper, we propose a bias-agnostic approach to mitigate the impact of bias in deep... | [] | Train |
41,095 | 25 | Title: Kernel Interpolation of Incident Sound Field in Region Including Scattering Objects
Abstract: A method for estimating the incident sound field inside a region containing scattering objects is proposed. The sound field estimation method has various applications, such as spatial audio capturing and spatial active ... | [] | Train |
41,096 | 24 | Title: A Comparison of Graph Neural Networks for Malware Classification
Abstract: Managing the threat posed by malware requires accurate detection and classification techniques. Traditional detection strategies, such as signature scanning, rely on manual analysis of malware to extract relevant features, which is labor ... | [] | Train |
41,097 | 26 | Title: Analyzing the Stance of Facebook Posts on Abortion Considering State-level Health and Social Compositions
Abstract: Abortion remains one of the most controversial topics, especially after overturning Roe v. Wade ruling in the United States. Previous literature showed that the illegality of abortion could have se... | [
37006
] | Validation |
41,098 | 24 | Title: Probing Graph Representations
Abstract: Today we have a good theoretical understanding of the representational power of Graph Neural Networks (GNNs). For example, their limitations have been characterized in relation to a hierarchy of Weisfeiler-Lehman (WL) isomorphism tests. However, we do not know what is enco... | [] | Train |
41,099 | 24 | Title: MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
Abstract: We study how a principal can efficiently and effectively intervene on the rewards of a previously unseen learning agent in order to induce desirable outcomes. This is relevant to many real-world settings like auctions or taxation, whe... | [] | Train |
41,100 | 24 | Title: Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
Abstract: Distribution shifts remain a fundamental problem for the safe application of machine learning systems. If undetected, they may impact the real-world performance of such systems or will at least render original performanc... | [] | Train |
41,101 | 30 | Title: The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
Abstract: This paper describes the results of the first shared task on generation of teacher responses in educational dialogues. The goal of the task was to benchmark the ability of generative language models to act as AI teache... | [
44162,
13700,
24727
] | Test |
41,102 | 16 | Title: Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
Abstract: In this paper, we investigate the emotion manipulation capabilities of diffusion models with"in-the-wild"images, a rather unexplored application area relative to the vast and rapidly growing literature ... | [
23464,
16103
] | Train |
41,103 | 3 | Title: Provably safe systems: the only path to controllable AGI
Abstract: We describe a path to humanity safely thriving with powerful Artificial General Intelligences (AGIs) by building them to provably satisfy human-specified requirements. We argue that this will soon be technically feasible using advanced AI for for... | [
28896,
29512,
4206,
35927
] | Train |
41,104 | 16 | Title: MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Abstract: The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such as directly generating websites from handwritten text and identifying humorous elements within images. These features are rarely observed in... | [
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... | Train |
41,105 | 24 | Title: Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers
Abstract: Over the past decade, neural network (NN)-based controllers have demonstrated remarkable efficacy in a variety of decision-making tasks. However, their black-box nature and the risk of unexpecte... | [] | Train |
41,106 | 23 | Title: Adaptive Intellect Unleashed: The Feasibility of Knowledge Transfer in Large Language Models
Abstract: We conduct the first empirical study on using knowledge transfer to improve the generalization ability of large language models (LLMs) in software engineering tasks, which often require LLMs to generalize beyon... | [
15952,
30290,
37275,
24046
] | Test |
41,107 | 16 | Title: Automatic coarse co-registration of point clouds from diverse scan geometries: a test of detectors and descriptors
Abstract: Point clouds are collected nowadays from a plethora of sensors, some having higher accuracies and higher costs, some having lower accuracies but also lower costs. Not only there is a large... | [] | Validation |
41,108 | 16 | Title: TryOnDiffusion: A Tale of Two UNets
Abstract: Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person. A key challenge is to synthesize a photorealistic detail-preserving visualization of the garment, whil... | [
44736
] | Train |
41,109 | 16 | Title: Transformer-Based Visual Segmentation: A Survey
Abstract: Visual segmentation seeks to partition images, video frames, or point clouds into multiple segments or groups. This technique has numerous real-world applications, such as autonomous driving, image editing, robot sensing, and medical analysis. Over the pa... | [
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968,
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5583,
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41688,
23775,
46047,
38753,
879,
43375,
11894,
22654
] | Test |
41,110 | 16 | Title: GBSD: Generative Bokeh with Stage Diffusion
Abstract: The bokeh effect is an artistic technique that blurs out-of-focus areas in a photograph and has gained interest due to recent developments in text-to-image synthesis and the ubiquity of smart-phone cameras and photo-sharing apps. Prior work on rendering bokeh... | [] | Validation |
41,111 | 24 | Title: Large Deviations for Classification Performance Analysis of Machine Learning Systems
Abstract: We study the performance of machine learning binary classification techniques in terms of error probabilities. The statistical test is based on the Data-Driven Decision Function (D3F), learned in the training phase, i.e... | [] | Test |
41,112 | 16 | Title: Grouping Boundary Proposals for Fast Interactive Image Segmentation
Abstract: Geodesic models are known as an efficient tool for solving various image segmentation problems. Most of existing approaches only exploit local pointwise image features to track geodesic paths for delineating the objective boundaries. H... | [] | Train |
41,113 | 34 | Title: Sliding suffix trees simplified
Abstract: Sliding suffix trees (Fiala&Greene, 1989) for an input text $T$ over an alphabet of size $\sigma$ and a sliding window $W$ of $T$ can be maintained in $O(|T| \log \sigma)$ time and $O(|W|)$ space. The two previous approaches that achieve this can be categorized into the ... | [
8716
] | Test |
41,114 | 27 | Title: Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting
Abstract: Loading of shipping containers for dairy products often includes a press-fit task, which involves manually stacking milk cartons in a container without using pallets or packaging. Automating this task with a mobile manipula... | [] | Test |
41,115 | 16 | Title: Online Sequence Clustering Algorithm for Video Trajectory Analysis
Abstract: Target tracking and trajectory modeling have important applications in surveillance video analysis and have received great attention in the fields of road safety and community security. In this work, we propose a lightweight real-time v... | [] | Validation |
41,116 | 16 | Title: MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models
Abstract: Despite tremendous advancements in bird's-eye view (BEV) perception, existing models fall short in generating realistic and coherent semantic map layouts, and they fail to account for uncertainties arising from partial sensor inform... | [] | Train |
41,117 | 34 | Title: (Almost) Ruling Out SETH Lower Bounds for All-Pairs Max-Flow
Abstract: The All-Pairs Max-Flow problem has gained significant popularity in the last two decades, and many results are known regarding its fine-grained complexity. Despite this, wide gaps remain in our understanding of the time complexity for several... | [
29382,
16718
] | Test |
41,118 | 16 | Title: UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese
Abstract: Image Captioning is one of the vision-language tasks that still interest the research community worldwide in the 2020s. MS-COCO Caption benchmark is commonly used to evaluate the performance of advanced captioning models, alt... | [] | Train |
41,119 | 16 | Title: Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Abstract: Convolutional networks and vision transformers have different forms of pairwise interactions, pooling across layers and pooling at the end of the network. Does the latter really need to be different? As a by-product of poo... | [] | Train |
41,120 | 4 | Title: Innovative Countermeasures to Defeat Cyber Attacks Against Blockchain Wallets
Abstract: Blockchain transactions are signed by private keys. Secure key storage and tamper resistant computing, are critical requirements for deployments of trusted infrastructure. In this paper we identify some threats against blockc... | [
28897,
41594
] | Test |
41,121 | 24 | Title: Machine Unlearning Methodology base on Stochastic Teacher Network
Abstract: The rise of the phenomenon of the"right to be forgotten"has prompted research on machine unlearning, which grants data owners the right to actively withdraw data that has been used for model training, and requires the elimination of the ... | [] | Train |
41,122 | 30 | Title: Multi-step Jailbreaking Privacy Attacks on ChatGPT
Abstract: With the rapid progress of large language models (LLMs), many downstream NLP tasks can be well solved given appropriate prompts. Though model developers and researchers work hard on dialog safety to avoid generating harmful content from LLMs, it is sti... | [
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13801,
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263... | Train |
41,123 | 24 | Title: Fundamental Bounds on Online Strategic Classification
Abstract: We study the problem of online binary classification where strategic agents can manipulate their observable features in predefined ways, modeled by a manipulation graph, in order to receive a positive classification. We show this setting differs in ... | [
11008,
24348
] | Train |
41,124 | 15 | Title: FPPU: Design and Implementation of a Pipelined Full Posit Processing Unit
Abstract: By exploiting the modular RISC-V ISA this paper presents the customization of instruction set with posit\textsuperscript{\texttrademark} arithmetic instructions to provide improved numerical accuracy, well-defined behavior and in... | [] | Train |
41,125 | 16 | Title: EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer
Abstract: In this study, we address the key challenges concerning the accuracy and effectiveness of depth estimation for endoscopic imaging, with a particular emphasis on real-time inference and the impact of light reflections. We... | [
20722,
33099,
43618
] | Validation |
41,126 | 30 | Title: A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation
Abstract: Large language models such as BERT and the GPT series started a paradigm shift that calls for building general-purpose models via pre-training on large datasets, followed by fine-tuning on task-specific datasets. T... | [
10624,
38734
] | Validation |
41,127 | 13 | Title: The Evolution theory of Learning: From Natural Selection to Reinforcement Learning
Abstract: Evolution is a fundamental process that shapes the biological world we inhabit, and reinforcement learning is a powerful tool used in artificial intelligence to develop intelligent agents that learn from their environmen... | [] | Validation |
41,128 | 16 | Title: MS23D: A 3D Object Detection Method Using Multi-Scale Semantic Feature Points to Construct 3D Feature Layers
Abstract: Lidar point clouds, as a type of data with accurate distance perception, can effectively represent the motion and posture of objects in three-dimensional space. However, the sparsity and disorde... | [
45795
] | Train |
41,129 | 16 | Title: Learning Action Changes by Measuring Verb-Adverb Textual Relationships
Abstract: The goal of this work is to understand the way actions are performed in videos. That is, given a video, we aim to predict an adverb indicating a modification applied to the action (e.g. cut “finely”). We cast this problem as a regre... | [] | Train |
41,130 | 3 | Title: Good practices for clinical data warehouse implementation: A case study in France
Abstract: Real-world data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon th... | [] | Test |
41,131 | 30 | Title: Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing
Abstract: Sequence-to-Sequence (S2S) models have achieved remarkable success on various text generation tasks. However, learning complex structures with S2S models remains challenging as external neural module... | [] | Train |
41,132 | 8 | Title: SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks
Abstract: Sixth-generation (6G) network slicing is the backbone of future communications systems. It inaugurates the era of extreme ultra-reliable and low-latency communication (xURLLC) and pervades the digitalization of the various vertic... | [
722
] | Train |
41,133 | 5 | Title: Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach
Abstract: Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme-scale computer simulations, and big data anal... | [] | Validation |
41,134 | 10 | Title: A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network
Abstract: Aiming at the prediction problem of transport capacity risk caused by the mismatch between the carrying capacity of rail transit network and passenger flow demand, this paper proposes an explainable p... | [] | Train |
41,135 | 24 | Title: Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample - Application in Gomoku Reinforcement Learning
Abstract: To replace data augmentation, this paper proposed a method called SLAP to intensify experience to speed up machine learning and reduce the sample... | [] | Train |
41,136 | 24 | Title: RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning
Abstract: The reaction center consists of atoms in the product whose local properties are not identical to the corresponding atoms in the reactants. Prior studies on reaction center identification are mainly on semi-templated retros... | [
37810,
6198
] | Train |
41,137 | 24 | Title: Online Learning with Feedback Graphs: The True Shape of Regret
Abstract: Sequential learning with feedback graphs is a natural extension of the multi-armed bandit problem where the problem is equipped with an underlying graph structure that provides additional information - playing an action reveals the losses o... | [
28794
] | Validation |
41,138 | 16 | Title: Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos
Abstract: The analysis and use of egocentric videos for robotic tasks is made challenging by occlusion due to the hand and the visual mismatch between the human hand and a robot end-effector. In this sense, the human hand presents a nuisance... | [
40281,
11211
] | Train |
41,139 | 30 | Title: PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
Abstract: This paper describes PULSAR, our system submission at the ImageClef 2023 MediQA-Sum task on summarising patient-doctor dialogues into clinical records. The proposed framework re... | [
40121,
42908,
1653,
11199
] | Test |
41,140 | 28 | Title: Coding for IBLTs with Listing Guarantees
Abstract: The Invertible Bloom Lookup Table (IBLT) is a probabilistic data structure for set representation, with applications in network and traffic monitoring. It is known for its ability to list its elements, an operation that succeeds with high probability for suffici... | [] | Validation |
41,141 | 24 | Title: Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
Abstract: Federated learning is used to train a shared model in a decentralized way without clients sharing private data with each other. Federated learning systems are susceptible to poisoning attacks when malicious clients send false up... | [
31819
] | Train |
41,142 | 25 | Title: AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
Abstract: We propose a method named AudioFormer,which learns audio feature representations through the acquisition of discrete acoustic codes and subsequently fine-tunes them for audio classification tasks. Initially... | [
21778,
13700
] | Train |
41,143 | 5 | Title: Opportunistic Transmission of Distributed Learning Models in Mobile UAVs
Abstract: In this paper, we propose an opportunistic scheme for the transmission of model updates from Federated Learning (FL) clients to the server, where clients are wireless mobile users. This proposal aims to opportunistically take adva... | [] | Train |
41,144 | 28 | Title: FDD Massive MIMO Without CSI Feedback
Abstract: Transmitter channel state information (CSIT) is indispensable for the spectral efficiency gains offered by massive multiple-input multiple-output (MIMO) systems. In a frequency-division-duplexing (FDD) massive MIMO system, CSIT is typically acquired through downlin... | [] | Validation |
41,145 | 24 | Title: Projective Integral Updates for High-Dimensional Variational Inference
Abstract: Variational inference is an approximation framework for Bayesian inference that seeks to improve quantified uncertainty in predictions by optimizing a simplified distribution over parameters to stand in for the full posterior. Captu... | [] | Validation |
41,146 | 16 | Title: GLIGEN: Open-Set Grounded Text-to-Image Generation
Abstract: Large-scale text-to-image diffusion models have made amazing advances. However, the status quo is to use text input alone, which can impede controllability. In this work, we propose GLIGEN, Grounded-Language-to-Image Generation, a novel approach that b... | [
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5123,
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39340,
37815,
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44736,
35780,
34760,
26825,
... | Train |
41,147 | 15 | Title: Chip Guard ECC: An Efficient, Low Latency Method
Abstract: Chip Guard is a new approach to symbol-correcting error correction codes. It can be scaled to various data burst sizes and reliability levels. A specific version for DDR5 is described. It uses the usual DDR5 configuration of 8 data chips, plus 2 chips fo... | [] | Validation |
41,148 | 22 | Title: Using Rewrite Strategies for Efficient Functional Automatic Differentiation
Abstract: Automatic Differentiation (AD) has become a dominant technique in ML. AD frameworks have first been implemented for imperative languages using tapes. Meanwhile, functional implementations of AD have been developed, often based ... | [] | Train |
41,149 | 5 | Title: GOC-Ledger: State-based Conflict-Free Replicated Ledger from Grow-Only Counters
Abstract: Conventional blockchains use consensus algorithms that totally order updates across all accounts, which is stronger than necessary to implement a replicated ledger. This makes updates slower and more expensive than necessar... | [
34251
] | Validation |
41,150 | 5 | Title: Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices
Abstract: Federated learning (FL) has evolved as a prominent method for edge devices to cooperatively create a unified prediction model while securing their sensitive training data local to the device. Despite th... | [] | Validation |
41,151 | 10 | Title: Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
Abstract: Responsibility attribution is a key concept of accountable multi-agent decision making. Given a sequence of actions, responsibility attribution mechanisms quantify the impact of each participating ag... | [] | Train |
41,152 | 24 | Title: Deep Learning Safety Concerns in Automated Driving Perception
Abstract: Recent advances in the field of deep learning and impressive performance of deep neural networks (DNNs) for perception have resulted in an increased demand for their use in automated driving (AD) systems. The safety of such systems is of utm... | [
33195,
21589
] | Test |
41,153 | 16 | Title: ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
Abstract: Existing 3D instance segmentation methods are predominated by the bottom-up design - manually fine-tuned algorithm to group points into clusters followed by a refinement network. Howeve... | [
37505,
32995,
8399
] | Train |
41,154 | 4 | Title: Data Protection for Data Privacy-A South African Problem?
Abstract: This study proposes a comprehensive framework for enhancing data security and privacy within organizations through data protection awareness. It employs a quantitative method and survey research strategy to assess the level of data protection aw... | [
8096,
24681,
45121,
38193
] | Train |
41,155 | 16 | Title: Digging into Depth Priors for Outdoor Neural Radiance Fields
Abstract: Neural Radiance Fields (NeRF) have demonstrated impressive performance in vision and graphics tasks, such as novel view synthesis and immersive reality. However, the shape-radiance ambiguity of radiance fields remains a challenge, especially ... | [
23392,
2593,
34017,
28454,
2865,
4503,
33277
] | Test |
41,156 | 3 | Title: Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
Abstract: In this paper, we study the problem of MOOC quality evaluation that is essential for improving the course materials, promoting students' learning efficiency, and benefiting user services.
While achieving promising p... | [] | Train |
41,157 | 6 | Title: Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent
Abstract: How do we design an AI system that is intended to act as a communication bridge between two user communities with different mental models and vocabularies? Skillsync is an interactive environmen... | [] | Test |
41,158 | 23 | Title: Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks
Abstract: Self-adaptation solutions need to periodically monitor, reason about, and adapt a running system. The adaptation step involves generating an adaptation strategy and applying it to the running system whenever an anomaly ar... | [] | Test |
41,159 | 23 | Title: Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation
Abstract: Software bugs cost the global economy billions of dollars each year and take up ~50% of the development time. Once a bug is reported, the assigned developer attempts to identify and understand the source co... | [] | Train |
41,160 | 24 | Title: Does Full Waveform Inversion Benefit from Big Data?
Abstract: This paper investigates the impact of big data on deep learning models for full waveform inversion (FWI). While it is well known that big data can boost the performance of deep learning models in many tasks, its effectiveness has not been validated fo... | [] | Train |
41,161 | 16 | Title: Robust Human Motion Forecasting using Transformer-based Model
Abstract: Comprehending human motion is a fundamental challenge for developing Human-Robot Collaborative applications. Computer vision researchers have addressed this field by only focusing on reducing error in predictions, but not taking into account... | [
954,
8527
] | Validation |
41,162 | 16 | Title: Markerless human pose estimation for biomedical applications: a survey
Abstract: Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application. HPE is often preferred to traditional marker-based Motion Capture systems due to the ease of setup,... | [
36651
] | Train |
41,163 | 20 | Title: Approximate Nearest Neighbor Searching with Non-Euclidean and Weighted Distances
Abstract: We present a new approach to e-approximate nearest-neighbor queries in fixed dimension under a variety of non-Euclidean distances. We consider two families of distance functions: (a) convex scaling distance functions inclu... | [
33683
] | Train |
41,164 | 24 | Title: Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression
Abstract: In deep learning, often the training process finds an interpolator (a solution with 0 training loss), but the test loss is still low. This phenomenon, known as benign overfitting, is a major mystery that received a lot of ... | [] | Train |
41,165 | 24 | Title: On the Training Instability of Shuffling SGD with Batch Normalization
Abstract: We uncover how SGD interacts with batch normalization and can exhibit undesirable training dynamics such as divergence. More precisely, we study how Single Shuffle (SS) and Random Reshuffle (RR) -- two widely used variants of SGD -- ... | [] | Test |
41,166 | 8 | Title: Detecting TCP Packet Reordering in the Data Plane
Abstract: Network administrators want to detect TCP-level packet reordering to diagnose performance problems and attacks. However, reordering is expensive to measure, because each packet must be processed relative to the TCP sequence number of its predecessor in ... | [] | Validation |
41,167 | 16 | Title: Learning Disentangled Prompts for Compositional Image Synthesis
Abstract: We study domain-adaptive image synthesis, the problem of teaching pretrained image generative models a new style or concept from as few as one image to synthesize novel images, to better understand the compositional image synthesis. We pre... | [
30522,
15132
] | Train |
41,168 | 16 | Title: The MCC approaches the geometric mean of precision and recall as true negatives approach infinity
Abstract: The performance of a binary classifier is described by a confusion matrix with four entries: the number of true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN). The Matt... | [] | Train |
41,169 | 16 | Title: LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Abstract: In this technical report, we present the 1st place solution for the 2023 Waymo Open Dataset Pose Estimation challenge. Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods have commonly relied o... | [
33218
] | Train |
41,170 | 24 | Title: Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift
Abstract: Continual learning (CL) is an important technique to allow artificial neural networks to work in open environments. CL enables a system to learn new tasks without severe interference to its performance... | [] | Validation |
41,171 | 16 | Title: DEYOv2: Rank Feature with Greedy Matching for End-to-End Object Detection
Abstract: This paper presents a novel object detector called DEYOv2, an improved version of the first-generation DEYO (DETR with YOLO) model. DEYOv2, similar to its predecessor, DEYOv2 employs a progressive reasoning approach to accelerate... | [
38984,
40583
] | Test |
41,172 | 24 | Title: Estimation of Remaining Useful Life and SOH of Lithium Ion Batteries (For EV Vehicles)
Abstract: Lithium-ion batteries are widely used in various applications, including portable electronic devices, electric vehicles, and renewable energy storage systems. Accurately estimating the remaining useful life of these ... | [] | Train |
41,173 | 16 | Title: Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
Abstract: We present a sequence-to-sequence vision-language model whose parameters are jointly trained on all tasks (all for one) and fully shared among multiple tasks (one for all), resulting in a single m... | [
10624
] | Test |
41,174 | 16 | Title: Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models
Abstract: This paper introduces Deceptive-NeRF, a new method for enhancing the quality of reconstructed NeRF models using synthetically generated pseudo-observations, capable of handling sparse input and removing floate... | [
28673,
30566,
3912,
29000,
9706,
34074,
41230,
32980,
2614,
6488,
14842,
29531,
34238
] | Test |
41,175 | 28 | Title: Low Complexity Detection of Spatial Modulation Aided OTFS in Doubly-Selective Channels
Abstract: A spatial modulation-aided orthogonal time frequency space (SM-OTFS) scheme is proposed for high-Doppler scenarios, which relies on a low-complexity distance-based detection algorithm. We first derive the delay-Doppl... | [
5490,
17957
] | Train |
41,176 | 24 | Title: Online Hyperparameter Optimization for Class-Incremental Learning
Abstract: Class-incremental learning (CIL) aims to train a classification model while the number of classes increases phase-by-phase. An inherent challenge of CIL is the stability-plasticity tradeoff, i.e., CIL models should keep stable to retain ... | [
22080,
11332,
7175,
45354,
19307
] | Validation |
41,177 | 24 | Title: Explaining Imitation Learning through Frames
Abstract: As one of the prevalent methods to achieve automation systems, Imitation Learning (IL) presents a promising performance in a wide range of domains. However, despite the considerable improvement in policy performance, the corresponding research on the explain... | [] | Train |
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