node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
16,478 | 30 | Title: Topic Ontologies for Arguments
Abstract: Many computational argumentation tasks, such as stance classification, are topic-dependent: The effectiveness of approaches to these tasks depends largely on whether they are trained with arguments on the same topics as those on which they are tested. The key question is:... | [] | Train |
16,479 | 24 | Title: AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization
Abstract: We introduce AdCraft, a novel benchmark environment for the Reinforcement Learning (RL) community distinguished by its stochastic and non-stationary properties. The environment simulates bidding a... | [] | Train |
16,480 | 16 | Title: CLIP-ReIdent: Contrastive Training for Player Re-Identification
Abstract: Sports analytics benefits from recent advances in machine learning providing a competitive advantage for teams or individuals. One important task in this context is the performance measurement of individual players to provide reports and l... | [
13425,
34380
] | Train |
16,481 | 34 | Title: Sorting Pattern-Avoiding Permutations via 0-1 Matrices Forbidding Product Patterns
Abstract: We consider the problem of comparison-sorting an $n$-permutation $S$ that avoids some $k$-permutation $\pi$. Chalermsook, Goswami, Kozma, Mehlhorn, and Saranurak prove that when $S$ is sorted by inserting the elements in... | [] | Train |
16,482 | 16 | Title: GoogLe2Net: Going Transverse with Convolutions
Abstract: Capturing feature information effectively is of great importance in vision tasks. With the development of convolutional neural networks (CNNs), con-cepts like residual connection and multiple scales promote continual performance gains on diverse deep learni... | [] | Train |
16,483 | 16 | Title: PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation
Abstract: Ground pressure exerted by the human body is a valuable source of information for human activity recognition (HAR) in unobtrusive pervasive sensing. While data collect... | [
7779,
39398
] | Train |
16,484 | 27 | Title: WSTac: Interactive Surface Perception based on Whisker-Inspired and Self-Illuminated Vision-Based Tactile Sensor
Abstract: Modern Visual-Based Tactile Sensors (VBTSs) use cost-effective cameras to track elastomer deformation, but struggle with ambient light interference. Solutions typically involve using interna... | [
32922,
37581
] | Train |
16,485 | 7 | Title: Single-cell RNA-seq data imputation using Feature Propagation
Abstract: While single-cell RNA sequencing provides an understanding of the transcriptome of individual cells, its high sparsity, often termed dropout, hampers the capture of significant cell-cell relationships. Here, we propose scFP (single-cell Feat... | [] | Validation |
16,486 | 24 | Title: Generative Forests
Abstract: Tabular data represents one of the most prevalent form of data. When it comes to data generation, many approaches would learn a density for the data generation process, but would not necessarily end up with a sampler, even less so being exact with respect to the underlying density. A... | [] | Train |
16,487 | 26 | Title: Stochastic Degree Sequence Model with Edge Constraints (SDSM-EC) for Backbone Extraction
Abstract: It is common to use the projection of a bipartite network to measure a unipartite network of interest. For example, scientific collaboration networks are often measured using a co-authorship network, which is the p... | [] | Train |
16,488 | 5 | Title: Confidential Computing across Edge-to-Cloud for Machine Learning: A Survey Study
Abstract: Confidential computing has gained prominence due to the escalating volume of data-driven applications (e.g., machine learning and big data) and the acute desire for secure processing of sensitive data, particularly, across... | [
30192,
1633,
15495
] | Test |
16,489 | 30 | Title: Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success)
Abstract: Large language models, particularly GPT-3, are able to produce high quality summaries ofgeneral domain news articles in few- and zero-shot settings. However, it is unclear if such models are similarly capable... | [
41442,
28775,
40525,
3034,
3931
] | Train |
16,490 | 16 | Title: Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Abstract: Three-dimensional (3D) freehand ultrasound (US) reconstruction without using any additional external tracking device has seen recent advances with deep neural networks (DNNs). In this paper, we first investiga... | [] | Test |
16,491 | 10 | Title: Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
Abstract: Modern recommender systems lie at the heart of complex ecosystems that couple the behavior of users, content providers, advertisers, and other actors. Despite this,... | [
452,
40439
] | Train |
16,492 | 16 | Title: Align and Attend: Multimodal Summarization with Dual Contrastive Losses
Abstract: The goal of multimodal summarization is to extract the most important information from different modalities to form summaries. Unlike unimodal summarization, the multimodal summarization task explicitly leverages cross-modal inform... | [
11283,
11741,
8854
] | Validation |
16,493 | 28 | Title: On Linear Codes with Random Multiplier Vectors and the Maximum Trace Dimension Property
Abstract: Let $C$ be a linear code of length $n$ and dimension $k$ over the finite field $\mathbb{F}_{q^m}$. The trace code $\mathrm{Tr}(C)$ is a linear code of the same length $n$ over the subfield $\mathbb{F}_q$. The obviou... | [] | Train |
16,494 | 30 | Title: DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
Abstract: Zero-shot cross-lingual transfer is promising, however has been shown to be sub-optimal, with inferior transfer performance across low-resource languages. In this work, we envision languages as domains for improving... | [] | Train |
16,495 | 24 | Title: Adaptive Data Analysis in a Balanced Adversarial Model
Abstract: In adaptive data analysis, a mechanism gets $n$ i.i.d. samples from an unknown distribution $D$, and is required to provide accurate estimations to a sequence of adaptively chosen statistical queries with respect to $D$. Hardt and Ullman (FOCS 2014... | [
28184,
45570
] | Test |
16,496 | 31 | Title: GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval
Abstract: Recent studies show that Generative Relevance Feedback (GRF), using text generated by Large Language Models (LLMs), can enhance the effectiveness of query expansion. However, LLMs can generate irrelevant i... | [
13569,
397,
206,
41431,
45181
] | Test |
16,497 | 30 | Title: Personality Detection and Analysis using Twitter Data
Abstract: Personality types are important in various fields as they hold relevant information about the characteristics of a human being in an explainable format. They are often good predictors of a person's behaviors in a particular environment and have appl... | [] | Train |
16,498 | 16 | Title: Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Abstract: Many research efforts have been committed to unsupervised domain adaptation (DA) problems that transfer knowledge learned from a labeled source domain to an unlabeled target domain. Various DA methods have achiev... | [] | Test |
16,499 | 16 | Title: Lightweight Delivery Detection on Doorbell Cameras
Abstract: Despite recent advances in video-based action recognition and robust spatio-temporal modeling, most of the proposed approaches rely on the abundance of computational resources to afford running huge and computation-intensive convolutional or transforme... | [] | Train |
16,500 | 27 | Title: Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Abstract: As a popular concept proposed in the field of psychology, affordance has been regarded as one of the important abilities that enable humans to understand and interact with the environment. Briefly, it captures the... | [] | Train |
16,501 | 24 | Title: On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm
Abstract: We study a robust reinforcement learning (RL) with model uncertainty. Given nominal Markov decision process (N-MDP) that generate samples for training, an uncertainty set is defined, which contains some per... | [] | Test |
16,502 | 16 | Title: Hyperbolic Audio-visual Zero-shot Learning
Abstract: Audio-visual zero-shot learning aims to classify samples consisting of a pair of corresponding audio and video sequences from classes that are not present during training. An analysis of the audio-visual data reveals a large degree of hyperbolicity, indicating... | [
17401
] | Validation |
16,503 | 27 | Title: Energy-Constrained Active Exploration Under Incremental-Resolution Symbolic Perception
Abstract: In this work, we consider the problem of autonomous exploration in search of targets while respecting a fixed energy budget. The robot is equipped with an incremental-resolution symbolic perception module wherein the... | [
31642,
22893
] | Train |
16,504 | 24 | Title: PAC-Bayesian Generalization Bounds for Adversarial Generative Models
Abstract: We extend PAC-Bayesian theory to generative models and develop generalization bounds for models based on the Wasserstein distance and the total variation distance. Our first result on the Wasserstein distance assumes the instance spac... | [
22119
] | Train |
16,505 | 13 | Title: Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity
Abstract: When training neural networks for classification tasks with backpropagation, parameters are updated on every trial, even if the sample is classified correctly. In contrast, humans concentrate their ... | [
18442
] | Train |
16,506 | 25 | Title: Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Abstract: Millimeter wave (mmWave) based speech recognition provides more possibility for audio-related applications, such as conference speech transcription and eavesdropping. However, considering the practicality in real scenarios, latency and... | [
11918,
215
] | Train |
16,507 | 16 | Title: Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Abstract: Accurate morphological classification of white blood cells (WBCs) is an important step in the diagnosis of leukemia, a disease in which nonfunctional blast cells accumulate in the bone marrow. Recentl... | [
12694
] | Test |
16,508 | 23 | Title: Perceptions of Task Interdependence in Software Development: An Industrial Case Study
Abstract: Context: Task interdependence is a work design factor that expresses the mutual dependency between tasks that compose a whole work. In software development, task interdependencies are created by the technical dependen... | [] | Validation |
16,509 | 31 | Title: An Admissible Shift-Consistent Method for Recommender Systems
Abstract: In this paper, we propose a new constraint, called shift-consistency, for solving matrix/tensor completion problems in the context of recommender systems. Our method provably guarantees several key mathematical properties: (1) satisfies a re... | [] | Validation |
16,510 | 27 | Title: Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models
Abstract: Emergency evacuation describes a complex situation involving time-critical decision-making by evacuees. Mobile robots are being actively explored as a potential solution to provide timely guidanc... | [] | Validation |
16,511 | 27 | Title: GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
Abstract: In this work, we first formulate the problem of robotic water scooping using goal-conditioned reinforcement learning. This task is particularly challenging due to the complex dynamics of fluid and the need to achieve mu... | [
531,
14572
] | Validation |
16,512 | 24 | Title: Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models
Abstract: Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive mo... | [] | Train |
16,513 | 16 | Title: Unmasking Anomalies in Road-Scene Segmentation
Abstract: Anomaly segmentation is a critical task for driving applications, and it is approached traditionally as a per-pixel classification problem. However, reasoning individually about each pixel without considering their contextual semantics results in high unce... | [
20536,
35667,
40540
] | Train |
16,514 | 16 | Title: APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
Abstract: In recent years, monocular depth estimation (MDE) has witnessed a substantial performance improvement due to convolutional neural networks (CNNs). However, CNNs are vulnerable to adversarial attacks, ... | [
11443,
29471
] | Train |
16,515 | 23 | Title: Exploring the Relationship Between Personality Traits and User Feedback
Abstract: Previous research has studied the impact of developer personality in different software engineering scenarios, such as team dynamics and programming education. However, little is known about how user personality affect software eng... | [] | Train |
16,516 | 35 | Title: NVMM cache design: Logging vs. Paging
Abstract: Modern NVMM is closing the gap between DRAM and persistent storage, both in terms of performance and features. Having both byte addressability and persistence on the same device gives NVMM an unprecedented set of features, leading to the following question: How sho... | [] | Train |
16,517 | 27 | Title: Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving
Abstract: Risk assessment is a crucial component of collision warning and avoidance systems in intelligent vehicles. To accurately detect potential vehicle collisions, reachability-based formal approaches have been developed... | [] | Train |
16,518 | 16 | Title: LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Abstract: The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience. At the same time, recent advancements in the development of diffusion models have enabled generative n... | [
35907,
9198,
7679
] | Train |
16,519 | 32 | Title: waywiser: Ergonomic Methods for Assessing Spatial Models
Abstract: Assessing predictive models can be challenging. Modelers must navigate a wide array of evaluation methodologies implemented with incompatible interfaces across multiple packages which may give different or even contradictory results, while ensuri... | [] | Train |
16,520 | 23 | Title: Improving Students With Rubric-Based Self-Assessment and Oral Feedback
Abstract: Rubrics and oral feedback are approaches to help students improve performance and meet learning outcomes. However, their effect on the actual improvement achieved is inconclusive. This paper evaluates the effect of rubrics and oral ... | [
45397
] | Train |
16,521 | 16 | Title: Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
Abstract: We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We follow an analysis-by-synthesis framework, inspired by recent ... | [
1283,
4840,
26570,
9515,
16139,
24716,
8206,
21771,
42645,
4444,
32762,
5820,
9565
] | Test |
16,522 | 26 | Title: Consistent, Central and Comprehensive Participation on Social Media
Abstract: Participation research in online community has concentrated on popularity and social interactions. In this paper the attention is shifted to the conversational trees as the focus of analysis in order to achieve a measure of deliberativ... | [] | Validation |
16,523 | 16 | Title: StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Abstract: The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models. Nevertheless, the limited availability of diverse 3D resources presents significant ... | [
34074,
36947,
39340,
15983
] | Validation |
16,524 | 16 | Title: 3D Concept Learning and Reasoning from Multi-View Images
Abstract: Humans are able to accurately reason in 3D by gathering multi-view observations of the surrounding world. Inspired by this insight, we introduce a new large-scale benchmark for 3D multi-view visual question answering (3DMV-VQA). This dataset is c... | [
22561,
16232,
40202,
22222,
18447,
15541
] | Validation |
16,525 | 16 | Title: Bengali Document Layout Analysis with Detectron2
Abstract: Document digitization is vital for preserving historical records, efficient document management, and advancing OCR (Optical Character Recognition) research. Document Layout Analysis (DLA) involves segmenting documents into meaningful units like text boxe... | [
35156
] | Train |
16,526 | 4 | Title: 5G/6G-Enabled Metaverse Technologies: Taxonomy, Applications, and Open Security Challenges with Future Research Directions
Abstract: Internet technology has proven to be a vital contributor to many cutting-edge innovations that have given humans access to interact virtually with objects. Until now, numerous virt... | [
43362,
5277
] | Train |
16,527 | 30 | Title: How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
Abstract: Recent advancements in language models (LMs) have led to the emergence of powerful models such as Small LMs (e.g., T5) and Large LMs (e.g., GPT-4). These models have demonstrated exceptional capabilities across a wi... | [
33440,
22242,
40610,
36087,
45018,
36638
] | Test |
16,528 | 16 | Title: Neural Microfacet Fields for Inverse Rendering
Abstract: We present Neural Microfacet Fields, a method for recovering materials, geometry, and environment illumination from images of a scene. Our method uses a microfacet reflectance model within a volumetric setting by treating each sample along the ray as a (po... | [] | Train |
16,529 | 24 | Title: URM4DMU: an user represention model for darknet markets users
Abstract: Darknet markets provide a large platform for trading illicit goods and services due to their anonymity. Learning an invariant representation of each user based on their posts on different markets makes it easy to aggregate user information a... | [] | Test |
16,530 | 24 | Title: Adapting Fairness Interventions to Missing Values
Abstract: Missing values in real-world data pose a significant and unique challenge to algorithmic fairness. Different demographic groups may be unequally affected by missing data, and the standard procedure for handling missing values where first data is imputed... | [] | Validation |
16,531 | 13 | Title: Neuromorphic Hebbian learning with magnetic tunnel junction synapses
Abstract: Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devic... | [] | Train |
16,532 | 24 | Title: Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
Abstract: Optimal control is notoriously difficult for stochastic nonlinear systems. Ren et al. introduced Spectral Dynamics Embedding for developing reinforcement learning methods for controlling an unknown system. It uses an infinit... | [] | Train |
16,533 | 16 | Title: Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
Abstract: Face anti-spoofing (FAS) is crucial for securing face recognition systems. However, existing FAS methods with handcrafted binary or pixel-wise labels have limitations due to diverse presentation attacks ... | [] | Test |
16,534 | 24 | Title: Reliable Off-Policy Learning for Dosage Combinations
Abstract: Decision-making in personalized medicine such as cancer therapy or critical care must often make choices for dosage combinations, i.e., multiple continuous treatments. Existing work for this task has modeled the effect of multiple treatments independ... | [
41214
] | Train |
16,535 | 8 | Title: Two-Tier UAV-based Low Power Wide Area Networks: A Testbed and Experimentation Study
Abstract: In this paper, we propose, design, deploy and demonstrate a two-tier Low Power Wide Area Network (LP WAN) system based on Unmanned Aerial Vehicle (UAV) base stations suitable for dynamic deployment in deep rural enviro... | [] | Train |
16,536 | 34 | Title: Learning Mixtures of Gaussians Using the DDPM Objective
Abstract: Recent works have shown that diffusion models can learn essentially any distribution provided one can perform score estimation. Yet it remains poorly understood under what settings score estimation is possible, let alone when practical gradient-ba... | [
23008,
2586
] | Train |
16,537 | 28 | Title: Iterative Soft Decoding Algorithm for DNA Storage Using Quality Score and Redecoding
Abstract: Ever since deoxyribonucleic acid (DNA) was considered as a next-generation data-storage medium, lots of research efforts have been made to correct errors occurred during the synthesis, storage, and sequencing processes... | [] | Train |
16,538 | 27 | Title: Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence
Abstract: In this work, we tackle the problem of online camera-to-robot pose estimation from single-view successive frames of an image sequence, a crucial task for robots to interact with the world. The primar... | [
36257
] | Train |
16,539 | 3 | Title: 'Team-in-the-loop' organisational oversight of high-stakes AI
Abstract: Oversight is rightly recognised as vital within high-stakes public sector AI applications, where decisions can have profound individual and collective impacts. Much current thinking regarding forms of oversight mechanisms for AI within the p... | [
43930,
44173
] | Validation |
16,540 | 5 | Title: Distributed Multi-writer Multi-reader Atomic Register with Optimistically Fast Read and Write
Abstract: A distributed multi-writer multi-reader (MWMR) atomic register is an important primitive that enables a wide range of distributed algorithms. Hence, improving its performance can have large-scale consequences.... | [] | Train |
16,541 | 16 | Title: Parsing Line Segments of Floor Plan Images Using Graph Neural Networks
Abstract: In this paper, we present a GNN-based Line Segment Parser (GLSP), which uses a junction heatmap to predict line segments' endpoints, and graph neural networks to extract line segments and their categories. Different from previous fl... | [] | Train |
16,542 | 24 | Title: A domain-region based evaluation of ML performance robustness to covariate shift
Abstract: nan | [] | Train |
16,543 | 6 | Title: Online Assemblies: Civic Technologies Reshaping the Public Space
Abstract: Speaking or writing of political assemblies tends to evoke the action of people gathering to deliberate, or the spaces in which this deliberation might take place. One thing that is often overlooked, however, is the fact that these spaces... | [] | Train |
16,544 | 24 | Title: Multi-Fidelity Multi-Armed Bandits Revisited
Abstract: We study the multi-fidelity multi-armed bandit (MF-MAB), an extension of the canonical multi-armed bandit (MAB) problem. MF-MAB allows each arm to be pulled with different costs (fidelities) and observation accuracy. We study both the best arm identification... | [] | Train |
16,545 | 16 | Title: Applications of Binary Similarity and Distance Measures
Abstract: In the recent past, binary similarity measures have been applied in solving biometric identification problems, including fingerprint, handwritten character detection, and in iris image recognition. The application of the relevant measurements has ... | [] | Train |
16,546 | 24 | Title: Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
Abstract: In this article, we present a novel data assimilation strategy in pore-scale imaging and demonstrate that this makes it possible to robustly address reactiv... | [] | Train |
16,547 | 16 | Title: Multimodal Distillation for Egocentric Action Recognition
Abstract: The focal point of egocentric video understanding is modelling hand-object interactions. Standard models, e.g. CNNs or Vision Transformers, which receive RGB frames as input perform well. However, their performance improves further by employing ... | [
19206
] | Validation |
16,548 | 16 | Title: Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
Abstract: This paper addresses the tradeoff between standard accuracy on clean examples and robustness against adversarial examples in deep neural networks (DNNs). Although adversarial training (AT) improves rob... | [] | Train |
16,549 | 30 | Title: Interpretable by Design Visual Question Answering
Abstract: Model interpretability has long been a hard problem for the AI community especially in the multimodal setting, where vision and language need to be aligned and reasoned at the same time. In this paper, we specifically focus on the problem of Visual Ques... | [
10624,
45242,
1076
] | Train |
16,550 | 4 | Title: Multi-metrics adaptively identifies backdoors in Federated learning
Abstract: The decentralized and privacy-preserving nature of federated learning (FL) makes it vulnerable to backdoor attacks aiming to manipulate the behavior of the resulting model on specific adversary-chosen inputs. However, most existing def... | [
13646
] | Test |
16,551 | 27 | Title: Optimizing pre-scheduled, intermittently-observed MDPs
Abstract: A challenging category of robotics problems arises when sensing incurs substantial costs. This paper examines settings in which a robot wishes to limit its observations of state, for instance, motivated by specific considerations of energy manageme... | [] | Train |
16,552 | 30 | Title: SEA: A Scalable Entity Alignment System
Abstract: Entity alignment (EA) aims to find equivalent entities in different knowledge graphs (KGs). State-of-the-art EA approaches generally use Graph Neural Networks (GNNs) to encode entities. However, most of them train the models and evaluate the results in a full-bat... | [
35440,
26999
] | Test |
16,553 | 16 | Title: Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks
Abstract: Wheat is one of the most significant crop species with an annual worldwide grain production of 700 million tonnes. Assessing the production of wheat spikes can help us measure the grain production. Thus, detecting and ch... | [] | Train |
16,554 | 16 | Title: AptSim2Real: Approximately-Paired Sim-to-Real Image Translation
Abstract: Advancements in graphics technology has increased the use of simulated data for training machine learning models. However, the simulated data often differs from real-world data, creating a distribution gap that can decrease the efficacy of... | [] | Train |
16,555 | 30 | Title: Better Low-Resource Entity Recognition Through Translation and Annotation Fusion
Abstract: Pre-trained multilingual language models have enabled significant advancements in cross-lingual transfer. However, these models often exhibit a performance disparity when transferring from high-resource languages to low-re... | [
32744,
38849,
31956
] | Train |
16,556 | 6 | Title: Generative Agents: Interactive Simulacra of Human Behavior
Abstract: Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, we introduce generative agents--computational... | [
1024,
27138,
20995,
40453,
18952,
17417,
17938,
11292,
9252,
19492,
38958,
26162,
34361,
21562,
45115,
2622,
39489,
43585,
35915,
13905,
18007,
3162,
13413,
35950,
27250,
1656,
15993,
12411,
45182,
11406,
44687,
147,
10393,
24732,
9379,
24238,
... | Validation |
16,557 | 16 | Title: Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
Abstract: We present multimodal conditioning modules (MCM) for enabling conditional image synthesis using pretrained diffusion models. Previous multimodal synthesis works rely on training networks from scratch or fine-tuning pretrained network... | [
20474,
41988,
1836,
11820,
15983,
44948,
34074
] | Validation |
16,558 | 23 | Title: A statistical approach for finding property-access errors
Abstract: We study the problem of finding incorrect property accesses in JavaScript where objects do not have a fixed layout, and properties (including methods) can be added, overwritten, and deleted freely throughout the lifetime of an object. Since refe... | [] | Train |
16,559 | 22 | Title: Understand Code Style: Efficient CNN-Based Compiler Optimization Recognition System
Abstract: Compiler optimization level recognition can be applied to vulnerability discovery and binary analysis. Due to the exists of many different compilation optimization options, the difference in the contents of the binary f... | [
37843
] | Train |
16,560 | 16 | Title: SwiftAvatar: Efficient Auto-Creation of Parameterized Stylized Character on Arbitrary Avatar Engines
Abstract: The creation of a parameterized stylized character involves careful selection of numerous parameters, also known as the "avatar vectors" that can be interpreted by the avatar engine. Existing unsupervis... | [] | Validation |
16,561 | 30 | Title: Improving RNN-Transducers with Acoustic LookAhead
Abstract: RNN-Transducers (RNN-Ts) have gained widespread acceptance as an end-to-end model for speech to text conversion because of their high accuracy and streaming capabilities. A typical RNN-T independently encodes the input audio and the text context, and co... | [] | Train |
16,562 | 16 | Title: Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
Abstract: Text-to-3D generation has shown rapid progress in recent days with the advent of score distillation, a methodology of using pretrained text-to-2D diffusion models to optimize neural radiance field (NeRF) in the zero-shot settin... | [
17029,
13319,
11405,
32148,
34074,
2860,
44593,
33845,
11959,
40888,
16697,
13498,
37692,
40256,
3912,
5580,
6351,
11473,
11474,
43626,
33267,
4085,
38395
] | Test |
16,563 | 4 | Title: DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection
Abstract: Partition selection, or set union, is an important primitive in differentially private mechanism design: in a database where each user contributes a list of items, the goal is to publish as many of these items as... | [] | Train |
16,564 | 31 | Title: Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
Abstract: Recommender systems now consume large-scale data and play a significant role in improving user experience. Graph Neural Networks (GNNs) have emerged as one of the most effective recommender system models be... | [] | Train |
16,565 | 30 | Title: Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
Abstract: Compositionality is a pivotal property of symbolic reasoning. However, how well recent neural models capture compositionality remains underexplored in the symbolic reasoning tasks. This study empirically addresses this question b... | [
9521
] | Train |
16,566 | 27 | Title: Toward Efficient Physical and Algorithmic Design of Automated Garages
Abstract: Parking in large metropolitan areas is often a time-consuming task with further implications for traffic patterns that affect urban landscaping. Reducing the premium space needed for parking has led to the development of automated me... | [
12451
] | Train |
16,567 | 16 | Title: Rethinking Mobile Block for Efficient Attention-based Models
Abstract: This paper focuses on developing modern, efficient, lightweight models for dense predictions while trading off parameters, FLOPs, and performance. Inverted Residual Block (IRB) serves as the infrastructure for lightweight CNNs, but no counter... | [
41109
] | Train |
16,568 | 16 | Title: Decoupling Dynamic Monocular Videos for Dynamic View Synthesis
Abstract: The challenge of dynamic view synthesis from dynamic monocular videos, i.e., synthesizing novel views for free viewpoints given a monocular video of a dynamic scene captured by a moving camera, mainly lies in accurately modeling the dynamic... | [] | Train |
16,569 | 27 | Title: Acoustic Soft Tactile Skin (AST Skin)
Abstract: Acoustic Soft Tactile (AST) skin is a novel soft-flexible, low-cost sensor that can measure static normal forces and their contact location. This letter presents the design, fabrication, and experimental evaluation of AST skin. The proposed AST skin has some Acoust... | [
15259,
31469
] | Validation |
16,570 | 27 | Title: Exploring the effects of robotic design on learning and neural control
Abstract: The ongoing deep learning revolution has allowed computers to outclass humans in various games and perceive features imperceptible to humans during classification tasks. Current machine learning techniques have clearly distinguished... | [] | Test |
16,571 | 24 | Title: Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning
Abstract: General purpose agents will require large repertoires of skills. Empowerment -- the maximum mutual information between skills and the states -- provides a pathway for learning large collections of distinct skills, but mutual i... | [
11195
] | Train |
16,572 | 24 | Title: Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load
Abstract: The effectiveness of digital treatments can be measured by requiring patients to self-report their state through applications, however, ... | [] | Validation |
16,573 | 24 | Title: Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction
Abstract: Short-term demand forecasting for on-demand ride-hailing services is a fundamental issue in intelligent transportation systems. However, previous research predominantly focused on improving prediction accuracy, ignoring fairness issues... | [] | Train |
16,574 | 6 | Title: Invisible, Unreadable, and Inaudible Cookie Notices: An Evaluation of Cookie Notices for Users with Visual Impairments
Abstract: This paper investigates the accessibility of cookie notices on websites for users with visual impairments (VI) via a set of system studies on top UK websites (n=46) and a user study (n... | [] | Validation |
16,575 | 28 | Title: Optimization of AoII and QAoII in Multi-User Links
Abstract: We consider a network with multiple sources and a base station that send time-sensitive information to remote clients. The Age of Incorrect Information (AoII) captures the freshness of the informative pieces of status update packets at the destinations... | [
26956,
44454
] | Test |
16,576 | 24 | Title: MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
Abstract: Multivariate time series forecasting has been widely used in various practical scenarios. Recently, Transformer-based models have shown significant potential in forecasting tasks due to the capture of long-range... | [
19777,
39841,
32835,
26788,
9722,
17725,
37949
] | Train |
16,577 | 4 | Title: Use of Federated Learning and Blockchain towards Securing Financial Services
Abstract: In recent days, the proliferation of several existing and new cyber-attacks pose an axiomatic threat to the stability of financial services. It is hard to predict the nature of attacks that can trigger a serious financial cris... | [] | Train |
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