node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
25,578 | 16 | Title: EVIL: Evidential Inference Learning for Trustworthy Semi-Supervised Medical Image Segmentation
Abstract: Recently, uncertainty-aware methods have attracted increasing attention in semi-supervised medical image segmentation. However, current methods usually suffer from the drawback that it is difficult to balance... | [] | Train |
25,579 | 32 | Title: GPU Offloading in ExaHyPE Through C++ Standard Algorithms
Abstract: The ISO C++17 standard introduces \emph{parallel algorithms}, a parallel programming model promising portability across a wide variety of parallel hardware including multi-core CPUs, GPUs, and FPGAs. Since 2019, the NVIDIA HPC SDK compiler suite... | [] | Train |
25,580 | 16 | Title: Detecting and Preventing Hallucinations in Large Vision Language Models
Abstract: Instruction tuned Large Vision Language Models (LVLMs) have significantly advanced in generalizing across a diverse set of multi-modal tasks, especially for Visual Question Answering (VQA). However, generating detailed responses th... | [
13408,
22432,
37987,
33220,
35580,
4553,
6770,
19671,
43641,
42747,
24316
] | Train |
25,581 | 16 | Title: Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
Abstract: Estimating the transferability of publicly available pretrained models to a target task has assumed an important place for transfer learning tasks in recent years. Existing efforts propose m... | [] | Train |
25,582 | 10 | Title: A Generalist Dynamics Model for Control
Abstract: We investigate the use of transformer sequence models as dynamics models (TDMs) for control. In a number of experiments in the DeepMind control suite, we find that first, TDMs perform well in a single-environment learning setting when compared to baseline models.... | [
23970,
37252,
8230,
23307,
42172,
18777,
13564,
7198,
10943
] | Test |
25,583 | 27 | Title: Microgravity induces overconfidence in perceptual decision-making
Abstract: nan | [] | Validation |
25,584 | 3 | Title: Blockchain-Based Open Network in Technology Intermediation
Abstract: Blockchain technology is developing using in reliable applications which can be designed to achieve decentralization and trustless. Based on the open network innovation theory, this paper proposes a technical intermediary management idea based ... | [] | Train |
25,585 | 16 | Title: Towards Models that Can See and Read
Abstract: Visual Question Answering (VQA) and Image Captioning (CAP), which are among the most popular vision-language tasks, have analogous scene-text versions that require reasoning from the text in the image. Despite their obvious resemblance, the two are treated independe... | [
2384,
37595
] | Train |
25,586 | 24 | Title: Centralized Cooperative Exploration Policy for Continuous Control Tasks
Abstract: The deep reinforcement learning (DRL) algorithm works brilliantly on solving various complex control tasks. This phenomenal success can be partly attributed to DRL encouraging intelligent agents to sufficiently explore the environm... | [] | Train |
25,587 | 16 | Title: LGViT: Dynamic Early Exiting for Accelerating Vision Transformer
Abstract: Recently, the efficient deployment and acceleration of powerful vision transformers (ViTs) on resource-limited edge devices for providing multimedia services have become attractive tasks. Although early exiting is a feasible solution for ... | [
15129
] | Train |
25,588 | 16 | Title: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Abstract: Impressive progress in generative models and implicit representations gave rise to methods that can generate 3D shapes of high quality. However, being able to locally con-trol and edit shapes is another essential property that can unlock s... | [
10313,
7076
] | Validation |
25,589 | 29 | Title: Algebraic Reasoning About Timeliness
Abstract: Designing distributed systems to have predictable performance under high load is difficult because of resource exhaustion, non-linearity, and stochastic behaviour. Timeliness, i.e., delivering results within defined time bounds, is a central aspect of predictable pe... | [] | Test |
25,590 | 23 | Title: Automated Grading and Feedback Tools for Programming Education: A Systematic Review
Abstract: We conducted a systematic literature review on automated grading and feedback tools for programming education. We analysed 121 research papers from 2017 to 2021 inclusive and categorised them based on skills assessed, g... | [
38106
] | Train |
25,591 | 16 | Title: SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
Abstract: Despite significant progress in semi-supervised learning for image object detection, several key issues are yet to be addressed for video object detection: (1) Achieving good performance for supervised video object detection greatly ... | [] | Train |
25,592 | 27 | Title: Laser Ranging Based Intelligent System for Unknown Environment Mapping
Abstract: This work describes the implementation of a simple and computationally efficient Intelligent Navigation System (INS) for autonomous systems used in areas where human access is impossible. The system uses Laser Range Finder (LRF) rea... | [] | Validation |
25,593 | 16 | Title: Privacy-Preserving Face Recognition Using Random Frequency Components
Abstract: The ubiquitous use of face recognition has sparked increasing privacy concerns, as unauthorized access to sensitive face images could compromise the information of individuals. This paper presents an in-depth study of the privacy pro... | [] | Train |
25,594 | 16 | Title: Hierarchical Prior Mining for Non-local Multi-View Stereo
Abstract: As a fundamental problem in computer vision, multi-view stereo (MVS) aims at recovering the 3D geometry of a target from a set of 2D images. Recent advances in MVS have shown that it is important to perceive non-local structured information for ... | [] | Train |
25,595 | 24 | Title: Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Abstract: We tackle the problems of latent variables identification and"out-of-support"image generation in representation learning. We show that both are possible for a class of decoders that we call additive, which are rem... | [] | Train |
25,596 | 36 | Title: Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning
Abstract: To prevent implicit privacy disclosure in sharing gradients among data owners (DOs) under federated learning (FL), differential privacy (DP) and its variants have become a common practice to offer formal privacy guar... | [] | Train |
25,597 | 30 | Title: Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
Abstract: Compared with standard text, understanding dialogue is more challenging for machines as the dynamic and unexpected semantic changes in each turn. To model such inconsistent semantics, we propose a simple but effective Hier... | [] | Test |
25,598 | 27 | Title: Can we hear physical and social space together through prosody?
Abstract: When human listeners try to guess the spatial position of a speech source, they are influenced by the speaker's production level, regardless of the intensity level reaching their ears. Because the perception of distance is a very difficult... | [] | Train |
25,599 | 30 | Title: The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
Abstract: Event extraction (EE) is a crucial task aiming at extracting events from texts, which includes two subtasks: event detection (ED) and event argument extraction (EAE). In this paper, we check the reliability of EE evaluations an... | [] | Test |
25,600 | 17 | Title: Stealth Shaper: Reflectivity Optimization as Surface Stylization
Abstract: We present a technique to optimize the reflectivity of a surface while preserving its overall shape. The naïve optimization of the mesh vertices using the gradients of reflectivity simulations results in undesirable distortion. In contras... | [] | Test |
25,601 | 16 | Title: Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation
Abstract: Accurately estimating the 3D pose of humans in video sequences requires both accuracy and a well-structured architecture. With the success of transformers, we introduce the Refined Temporal Pyramidal Compr... | [
25453,
1635,
25100,
1723
] | Validation |
25,602 | 5 | Title: Stand up indulgent gathering
Abstract: nan | [
25013
] | Validation |
25,603 | 24 | Title: Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Abstract: Traffic forecasting is a critical task to extract values from cyber-physical infrastructures, which is the backbone of smart transportation. However owing to external contexts, the dynamics at each sensor are u... | [
38124,
10396
] | Train |
25,604 | 28 | Title: Globally Optimal Resource Allocation Design for IRS-Assisted Multiuser Networks with Discrete Phase Shifts
Abstract: Intelligent reflecting surfaces (IRSs) are envisioned as a low-cost solution to achieve high spectral and energy efficiency in future communication systems due to their ability to customize wirele... | [
31048,
15346
] | Train |
25,605 | 16 | Title: Real-Time Damage Detection in Fiber Lifting Ropes Using Convolutional Neural Networks
Abstract: The health and safety hazards posed by worn crane lifting ropes mandate periodic inspection for damage. This task is time-consuming, prone to human error, halts operation, and may result in the premature disposal of r... | [] | Train |
25,606 | 28 | Title: Fully Robust Federated Submodel Learning in a Distributed Storage System
Abstract: We consider the federated submodel learning (FSL) problem in a distributed storage system. In the FSL framework, the full learning model at the server side is divided into multiple submodels such that each selected client needs to... | [
4169,
41358,
31889,
32246,
12280
] | Test |
25,607 | 16 | Title: Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
Abstract: Vision-language foundation models such as CLIP have shown impressive zero-shot performance on many tasks and datasets, especially thanks to their free-text inputs. However, they struggle to handle some downstream tasks, such... | [
14032,
40232,
13700,
45242
] | Train |
25,608 | 24 | Title: QDC: Quantum Diffusion Convolution Kernels on Graphs
Abstract: Graph convolutional neural networks (GCNs) operate by aggregating messages over local neighborhoods given the prediction task under interest. Many GCNs can be understood as a form of generalized diffusion of input features on the graph, and significa... | [] | Test |
25,609 | 16 | Title: EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Abstract: Although previous co-speech gesture generation methods are able to synthesize motions in line with speech content, it is still not enough to handle diverse and complicated motion distribution. The key challenges are: 1) the one-to-man... | [
27642,
42397
] | Test |
25,610 | 16 | Title: Revisiting Image Deblurring with an Efficient ConvNet
Abstract: Image deblurring aims to recover the latent sharp image from its blurry counterpart and has a wide range of applications in computer vision. The Convolution Neural Networks (CNNs) have performed well in this domain for many years, and until recently... | [] | Validation |
25,611 | 24 | Title: On progressive sharpening, flat minima and generalisation
Abstract: We present a new approach to understanding the relationship between loss curvature and input-output model behaviour in deep learning. Specifically, we use existing empirical analyses of the spectrum of deep network loss Hessians to ground an ans... | [
24730
] | Train |
25,612 | 30 | Title: Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals
Abstract: Counterfactual Data Augmentation (CDA) is a commonly used technique for improving robustness in natural language classifiers. However, one fundamental challenge is how to discover meaningful counterfactuals and effici... | [
39642
] | Train |
25,613 | 6 | Title: Judgment Sieve: Reducing Uncertainty in Group Judgments through Interventions Targeting Ambiguity versus Disagreement
Abstract: When groups of people are tasked with making a judgment, the issue of uncertainty often arises. Existing methods to reduce uncertainty typically focus on iteratively improving specifici... | [] | Train |
25,614 | 27 | Title: CCIL: Context-conditioned imitation learning for urban driving
Abstract: Imitation learning holds great promise for addressing the complex task of autonomous urban driving, as experienced human drivers can navigate highly challenging scenarios with ease. While behavior cloning is a widely used imitation learning... | [
9421,
20101
] | Train |
25,615 | 16 | Title: ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules
Abstract: Charts are a powerful tool for visually conveying complex data, but their comprehension poses a challenge due to the diverse chart types and intricate components. Existing chart comprehension methods suffer... | [] | Test |
25,616 | 27 | Title: Initial Task Allocation for Multi-Human Multi-Robot Teams with Attention-based Deep Reinforcement Learning
Abstract: Multi-human multi-robot teams have great potential for complex and large-scale tasks through the collaboration of humans and robots with diverse capabilities and expertise. To efficiently operate ... | [] | Validation |
25,617 | 24 | Title: Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Abstract: Graph Neural Network (GNN) has demonstrated extraordinary performance in classifying graph properties. However, due to the selection bias of training and testing data (e.g., training on small graphs and testing on large graphs... | [] | Train |
25,618 | 24 | Title: Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards
Abstract: We study the piecewise stationary combinatorial semi-bandit problem with causally related rewards. In our nonstationary environment, variations in the base arms' distributions, causal relationships between rewards, or both, ch... | [
31892
] | Test |
25,619 | 24 | Title: Ultra-low Precision Multiplication-free Training for Deep Neural Networks
Abstract: The training for deep neural networks (DNNs) demands immense energy consumption, which restricts the development of deep learning as well as increases carbon emissions. Thus, the study of energy-efficient training for DNNs is ess... | [] | Train |
25,620 | 27 | Title: 3-Dimensional Sonic Phase-invariant Echo Localization
Abstract: Parallax and Time-of-Flight (ToF) are often regarded as complementary in robotic vision where various light and weather conditions remain challenges for advanced camera-based 3-Dimensional (3-D) reconstruction. To this end, this paper establishes Pa... | [
14388
] | Validation |
25,621 | 30 | Title: Understand Legal Documents with Contextualized Large Language Models
Abstract: The growth of pending legal cases in populous countries, such as India, has become a major issue. Developing effective techniques to process and understand legal documents is extremely useful in resolving this problem. In this paper, ... | [
39181
] | Validation |
25,622 | 27 | Title: BatMobility: Towards Flying Without Seeing for Autonomous Drones
Abstract: Unmanned aerial vehicles (UAVs) rely on optical sensors such as cameras and lidar for autonomous operation. However, such optical sensors are error-prone in bad lighting, inclement weather conditions including fog and smoke, and around te... | [] | Train |
25,623 | 24 | Title: Survival Instinct in Offline Reinforcement Learning
Abstract: We present a novel observation about the behavior of offline reinforcement learning (RL) algorithms: on many benchmark datasets, offline RL can produce well-performing and safe policies even when trained with"wrong"reward labels, such as those that ar... | [
23428,
32299,
29013,
28534,
6615,
2073,
12415
] | Validation |
25,624 | 16 | Title: Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection
Abstract: We propose an embarrassingly simple method -- instance-aware repeat factor sampling (IRFS) to address the problem of imbalanced data in long-tailed object detection. Imbalanced datasets in real-world object detection often suffer fr... | [
10512
] | Validation |
25,625 | 13 | Title: Symbiosis of an artificial neural network and models of biological neurons: training and testing
Abstract: In this paper, we show the possibility of creating and identifying the features of an artificial neural network (ANN), which consists of mathematical models of biological neurons. The FitzHugh-Nagumo (FHN) ... | [] | Test |
25,626 | 16 | Title: Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning
Abstract: Graph-based methods have been extensively applied to whole slide histopathology image (WSI) analysis due to the advantage of modeling the spatial relationships among different entities. However, most of the exist... | [] | Test |
25,627 | 4 | Title: A Review of Machine Learning-based Security in Cloud Computing
Abstract: Cloud Computing (CC) is revolutionizing the way IT resources are delivered to users, allowing them to access and manage their systems with increased cost-effectiveness and simplified infrastructure. However, with the growth of CC comes a ho... | [] | Train |
25,628 | 30 | Title: Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder
Abstract: In recent research, slight performance improvement is observed from automatic speech recognition systems to audio-visual speech recognition systems in end-to-end frameworks with... | [] | Train |
25,629 | 3 | Title: The competent Computational Thinking test (cCTt): a valid, reliable and gender-fair test for longitudinal CT studies in grades 3-6
Abstract: The introduction of computing education into curricula worldwide requires multi-year assessments to evaluate the long-term impact on learning. However, no single Computatio... | [] | Validation |
25,630 | 16 | Title: LightDepth: Single-View Depth Self-Supervision from Illumination Decline
Abstract: Single-view depth estimation can be remarkably effective if there is enough ground-truth depth data for supervised training. However, there are scenarios, especially in medicine in the case of endoscopies, where such data cannot b... | [] | Test |
25,631 | 16 | Title: FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition
Abstract: 3D Convolutional Neural Networks are gaining increasing attention from researchers and practitioners and have found applications in many domains, such as surveillance systems, autonomous vehicles, human monitoring systems, and... | [
20851,
24788
] | Test |
25,632 | 24 | Title: Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents
Abstract: Multi-Agent Reinforcement Learning (MARL) has been widely applied in many fields such as smart traffic and unmanned aerial vehicles. However, most MARL algorithms are vulnerable to adversarial perturbation... | [
1858,
17743
] | Test |
25,633 | 26 | Title: Hyperlink prediction via local random walks and Jensen–Shannon divergence
Abstract: Many real-world systems involving higher-order interactions can be modeled by hypergraphs, where vertices represent the systemic units and hyperedges describe the interactions among them. In this paper, we focus on the problem of... | [
42048
] | Train |
25,634 | 34 | Title: Hardness of Approximating Bounded-Degree Max 2-CSP and Independent Set on k-Claw-Free Graphs
Abstract: We consider the question of approximating Max 2-CSP where each variable appears in at most $d$ constraints (but with possibly arbitrarily large alphabet). There is a simple $(\frac{d+1}{2})$-approximation algor... | [
15273,
30211
] | Train |
25,635 | 2 | Title: Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
Abstract: Solving Constrained Horn Clauses (CHCs) is a fundamental challenge behind a wide range of verification and analysis tasks. Data-driven approaches show great promise in improving CHC solving without the painsta... | [] | Validation |
25,636 | 16 | Title: Information Theory-Guided Heuristic Progressive Multi-View Coding
Abstract: nan | [] | Validation |
25,637 | 34 | Title: 4/3-Approximation of Graphic TSP
Abstract: We describe a $\frac{4}{3}$-approximation algorithm for the traveling salesman problem in which the distances between points are induced by graph-theoretical distances in an unweighted graph. The algorithm is based on finding a minimum cost perfect matching on the odd d... | [] | Train |
25,638 | 2 | Title: ESBMC v7.3: Model Checking C++ Programs using Clang AST
Abstract: This paper introduces ESBMC v7.3, the latest Efficient SMT-Based Context-Bounded Model Checker version, which now incorporates a new clang-based C++ front-end. While the previous CPROVER-based front-end served well for handling C++03 programs, it ... | [] | Train |
25,639 | 31 | Title: Single-User Injection for Invisible Shilling Attack against Recommender Systems
Abstract: Recommendation systems (RS) are crucial for alleviating the information overload problem. Due to its pivotal role in guiding users to make decisions, unscrupulous parties are lured to launch attacks against RS to affect the... | [
31980
] | Train |
25,640 | 16 | Title: Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Abstract: Virtual try-on is a critical image synthesis task that aims to transfer clothes from one image to another while preserving the details of both humans and clothes. While many existing methods rely on Generative Adv... | [
34074,
15983
] | Train |
25,641 | 4 | Title: A Transcontinental Analysis of Account Remediation Protocols of Popular Websites
Abstract: Websites are used regularly in our day-today lives, yet research has shown that it is challenging for many users to use them securely, e.g., most prominently due to weak passwords through which they access their accounts. ... | [
27176
] | Validation |
25,642 | 16 | Title: Learning to Localize in Unseen Scenes with Relative Pose Regressors
Abstract: Relative pose regressors (RPRs) localize a camera by estimating its relative translation and rotation to a pose-labelled reference. Unlike scene coordinate regression and absolute pose regression methods, which learn absolute scene par... | [] | Train |
25,643 | 2 | Title: A modest proposal: explicit support for foundational pluralism
Abstract: Whilst mathematicians assume classical reasoning principles by default they often context switch when working, restricting themselves to various forms of subclassical reasoning. This pattern is especially common amongst logicians and set th... | [] | Train |
25,644 | 16 | Title: Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Abstract: Recent advances in denoising diffusion probabilistic models have shown great success in image synthesis tasks. While there are already works exploring the potential of this powerful tool in image semantic segmentation, its ap... | [
18897
] | Validation |
25,645 | 30 | Title: Evaluating the Deductive Competence of Large Language Models
Abstract: The development of highly fluent large language models (LLMs) has prompted increased interest in assessing their reasoning and problem-solving capabilities. We investigate whether several LLMs can solve a classic type of deductive reasoning p... | [
23898,
5815
] | Validation |
25,646 | 16 | Title: Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
Abstract: Flow-based methods have demonstrated promising results in addressing the ill-posed nature of super-resolution (SR) by learning the distribution of high-resolution (HR) images with the normalizing flow. However, these methods can... | [] | Train |
25,647 | 16 | Title: USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency
Abstract: Dressed people reconstruction from images is a popular task with promising applications in the creative media and game industry. However, most existing methods reconstruct the human body and garments a... | [
43054
] | Train |
25,648 | 30 | Title: Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research
Abstract: Modelling of early language acquisition aims to understand how infants bootstrap their language skills. The modelling encompasses properties of the input data used for training the ... | [] | Test |
25,649 | 24 | Title: To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks
Abstract: Reducing the size of a neural network (pruning) by removing weights without impacting its performance is an important problem for resource-constrained devices. In the past, pruning was typically accompl... | [] | Train |
25,650 | 4 | Title: Secure and Privacy-preserving Network Slicing in 3GPP 5G System Architecture
Abstract: Network slicing in 3GPP 5G system architecture has introduced significant improvements in the flexibility and efficiency of mobile communication. However, this new functionality poses challenges in maintaining the privacy of m... | [] | Test |
25,651 | 16 | Title: Diffusion Inertial Poser: Human Motion Reconstruction from Arbitrary Sparse IMU Configurations
Abstract: Motion capture from a limited number of inertial measurement units (IMUs) has important applications in health, human performance, and virtual reality. Real-world limitations and application-specific goals di... | [
21792,
32574,
40110
] | Train |
25,652 | 23 | Title: Responsible Design Patterns for Machine Learning Pipelines
Abstract: Integrating ethical practices into the AI development process for artificial intelligence (AI) is essential to ensure safe, fair, and responsible operation. AI ethics involves applying ethical principles to the entire life cycle of AI systems. ... | [
5018,
16031
] | Test |
25,653 | 10 | Title: Shrinking Embeddings for Hyper-Relational Knowledge Graphs
Abstract: Link prediction on knowledge graphs (KGs) has been extensively studied on binary relational KGs, wherein each fact is represented by a triple. A significant amount of important knowledge, however, is represented by hyper-relational facts where ... | [
8066,
16725,
37821
] | Train |
25,654 | 24 | Title: MaskedKD: Efficient Distillation of Vision Transformers with Masked Images
Abstract: Knowledge distillation is an effective method for training lightweight models, but it introduces a significant amount of computational overhead to the training cost, as the method requires acquiring teacher supervisions on train... | [
24741,
13898,
19787,
37070,
6901
] | Validation |
25,655 | 24 | Title: Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference
Abstract: Tensor decomposition is now being used for data analysis, information compression, and knowledge recovery. However, the mathematical property of tensor decomposition is not yet fully clarified ... | [] | Test |
25,656 | 30 | Title: Learning the String Partial Order
Abstract: We show that most structured prediction problems can be solved in linear time and space by considering them as partial orderings of the tokens in the input string. Our method computes real numbers for each token in an input string and sorts the tokens accordingly, resu... | [] | Train |
25,657 | 30 | Title: Neuromodulation Gated Transformer
Abstract: We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect. We compare it to baselines and show that it results in the best average performance on the S... | [] | Test |
25,658 | 36 | Title: Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Abstract: We study an online allocation problem with sequentially arriving items and adversarially chosen agent values, with the goal of balancing fairness and efficiency. Our goal is to study the performance of a... | [
12264
] | Train |
25,659 | 16 | Title: Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
Abstract: The spreading of attention has been proposed as a mechanism for how humans group features to segment objects. However, such a mechanism has not yet been implemented and tested in naturalistic images.... | [
31099
] | Validation |
25,660 | 24 | Title: Learning to Modulate pre-trained Models in RL
Abstract: Reinforcement Learning (RL) has been successful in various domains like robotics, game playing, and simulation. While RL agents have shown impressive capabilities in their specific tasks, they insufficiently adapt to new tasks. In supervised learning, this ... | [
23905,
13442,
37252,
23307,
5484,
15507
] | Train |
25,661 | 23 | Title: Path-sensitive Type Analysis with Backward Analysis for Quality Assurance of Dynamic Typed Language Code
Abstract: Precise and fast static type analysis for dynamically typed language is very difficult. This is mainly because the lack of static type information makes it difficult to approximate all possible valu... | [] | Train |
25,662 | 30 | Title: Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models
Abstract: Natural language processing (NLP) models have become increasingly popular in real-world applications, such as text classification. However, they are vulnerable to privacy attacks, including data reconstr... | [] | Train |
25,663 | 24 | Title: Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Abstract: Benefiting from the injection of human prior knowledge, graphs, as derived discrete data, are semantically dense so that models can efficiently learn the semantic information from such data. Accordingly, graph neur... | [] | Train |
25,664 | 28 | Title: Error-Correcting Codes for Nanopore Sequencing
Abstract: Nanopore sequencers, being superior to other sequencing technologies for DNA storage in multiple aspects, have attracted considerable attention in recent times. Their high error rates however demand thorough research on practical and efficient coding schem... | [] | Train |
25,665 | 30 | Title: Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
Abstract: Detecting harmful content on social media plat-forms is crucial in preventing the negative ef-fects these posts can have on social media users.This paper pr... | [
20226,
24954
] | Validation |
25,666 | 16 | Title: TokenFlow: Consistent Diffusion Features for Consistent Video Editing
Abstract: The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality and user control over the generated content. In this w... | [
20960,
11841,
41888,
42272,
32261,
10216,
36168,
23563,
28113,
20949,
17526,
23669,
7993,
34074,
43867,
12541,
28382
] | Train |
25,667 | 16 | Title: Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation
Abstract: We study the problem of few-shot physically-aware articulated mesh generation. By observing an articulated object dataset containing only a few examples, we wish to learn a model that can generate diverse meshes with hig... | [
18486,
43279
] | Train |
25,668 | 30 | Title: KNNs of Semantic Encodings for Rating Prediction
Abstract: This paper explores a novel application of textual semantic similarity to user-preference representation for rating prediction. The approach represents a user's preferences as a graph of textual snippets from review text, where the edges are defined by s... | [] | Test |
25,669 | 10 | Title: Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Abstract: Multiagent reinforcement learning (MARL) has benefited significantly from population-based and game-theoretic training regimes. One approach, Policy-Space Response Oracles (PSRO), employs sta... | [
40922
] | Train |
25,670 | 16 | Title: On the Robustness of Latent Diffusion Models
Abstract: Latent diffusion models achieve state-of-the-art performance on a variety of generative tasks, such as image synthesis and image editing. However, the robustness of latent diffusion models is not well studied. Previous works only focus on the adversarial att... | [
22886,
11143,
30440,
14610,
27547
] | Test |
25,671 | 13 | Title: Vision-based route following by an embodied insect-inspired sparse neural network
Abstract: We compared the efficiency of the FlyHash model, an insect-inspired sparse neural network (Dasgupta et al., 2017), to similar but non-sparse models in an embodied navigation task. This requires a model to control steering... | [] | Train |
25,672 | 17 | Title: Combining active and passive simulations for secondary motion
Abstract: Describes how to generate secondary motion by coupling physically based simulations of passive objects to actively controlled characters. Our approach of using coupled simulations is general, can be applied to a wide range of phenomena and c... | [
29345,
45122,
35553
] | Validation |
25,673 | 16 | Title: LCCo: Lending CLIP to Co-Segmentation
Abstract: This paper studies co-segmenting the common semantic object in a set of images. Existing works either rely on carefully engineered networks to mine the implicit semantic information in visual features or require extra data (i.e., classification labels) for training... | [
17633,
43004
] | Train |
25,674 | 30 | Title: Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions
Abstract: Digital textbooks have become an integral part of everyday learning tasks. In this work, we consider the use of digital textbooks for programming classes. Generally, students struggle with utilizing textb... | [
8493
] | Train |
25,675 | 16 | Title: Is attention all you need in medical image analysis? A review
Abstract: Medical imaging is a key component in clinical diagnosis, treatment planning and clinical trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance gains in medical image analysis (MIA) over the last years. CN... | [
24139,
24756
] | Validation |
25,676 | 16 | Title: S3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection
Abstract: Recently, transformer-based methods have shown exceptional performance in monocular 3D object detection, which can predict 3D attributes from a single 2D image. These methods typically use visual and... | [] | Test |
25,677 | 16 | Title: A White-Box False Positive Adversarial Attack Method on Contrastive Loss-Based Offline Handwritten Signature Verification Models
Abstract: In this paper, we tackle the challenge of white-box false positive adversarial attacks on contrastive loss-based offline handwritten signature verification models. We propose... | [] | Train |
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