node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
20,478 | 25 | Title: Two Stage Contextual Word Filtering for Context bias in Unified Streaming and Non-streaming Transducer
Abstract: It is difficult for an E2E ASR system to recognize words such as entities appearing infrequently in the training data. A widely used method to mitigate this issue is feeding contextual information int... | [
6909,
26726,
15789
] | Train |
20,479 | 37 | Title: Lingua Manga: A Generic Large Language Model Centric System for Data Curation
Abstract: Data curation is a wide-ranging area which contains many critical but time-consuming data processing tasks. However, the diversity of such tasks makes it challenging to develop a general-purpose data curation system. To addre... | [
634,
13700
] | Train |
20,480 | 16 | Title: Identity-Aware Semi-Supervised Learning for Comic Character Re-Identification
Abstract: Character re-identification, recognizing characters consistently across different panels in comics, presents significant challenges due to limited annotated data and complex variations in character appearances. To tackle this... | [] | Train |
20,481 | 30 | Title: UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?
Abstract: Previous state-of-the-art models for lexical simplification consist of complex pipelines with several components, each of which requires deep technical knowledge and fine-tuned interaction to achieve its full potential. ... | [
10065,
10870,
38931,
8150
] | Train |
20,482 | 26 | Title: Faster Local Motif Clustering via Maximum Flows
Abstract: Local clustering aims to identify a cluster within a given graph that includes a designated seed node or a significant portion of a group of seed nodes. This cluster should be well-characterized, i.e., it has a high number of internal edges and a low numb... | [] | Test |
20,483 | 16 | Title: Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement
Abstract: Video semantic segmentation aims to generate accurate semantic maps for each video frame. To this end, many works dedicate to integrate diverse information from consecutive frames to enhance the features for ... | [] | Test |
20,484 | 16 | Title: UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Abstract: Achieving machine autonomy and human control often represent divergent objectives in the design of interactive AI systems. Visual generative foundation models such as Stable Diffusion show promise in navigating these g... | [
10624,
24550,
295,
7787,
28460,
20174,
14047,
19954,
8308,
14966,
34074,
28414,
351
] | Train |
20,485 | 23 | Title: On the Empirical Evidence of Microservice Logical Coupling. A Registered Report
Abstract: [Context] Coupling is a widely discussed metric by software engineers while developing complex software systems, often referred to as a crucial factor and symptom of a poor or good design. Nevertheless, measuring the logica... | [] | Train |
20,486 | 27 | Title: Collapse of Straight Soft Growing Inflated Beam Robots Under Their Own Weight
Abstract: Soft, growing inflated beam robots, also known as everting vine robots, have previously been shown to navigate confined spaces with ease. Less is known about their ability to navigate three-dimensional open spaces where they ... | [] | Test |
20,487 | 30 | Title: Targeted Phishing Campaigns using Large Scale Language Models
Abstract: In this research, we aim to explore the potential of natural language models (NLMs) such as GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent messages that aim to trick individuals into revealing sensitive... | [
17570,
20228,
25765,
7270,
8715,
24467,
11476,
14742,
58,
37627
] | Validation |
20,488 | 24 | Title: Learning Narrow One-Hidden-Layer ReLU Networks
Abstract: We consider the well-studied problem of learning a linear combination of $k$ ReLU activations with respect to a Gaussian distribution on inputs in $d$ dimensions. We give the first polynomial-time algorithm that succeeds whenever $k$ is a constant. All pri... | [
22896,
34833,
13062
] | Train |
20,489 | 30 | Title: Schema-Driven Information Extraction from Heterogeneous Tables
Abstract: In this paper, we explore the question of whether language models (LLMs) can support cost-efficient information extraction from complex tables. We introduce schema-driven information extraction, a new task that uses LLMs to transform tabula... | [
32450,
1802
] | Validation |
20,490 | 16 | Title: On Function-Coupled Watermarks for Deep Neural Networks
Abstract: Well-performed deep neural networks (DNNs) generally require massive labelled data and computational resources for training. Various watermarking techniques are proposed to protect such intellectual properties (IPs), wherein the DNN providers impl... | [] | Train |
20,491 | 4 | Title: Generalized Implicit Factorization Problem
Abstract: The Implicit Factorization Problem was first introduced by May and Ritzenhofen at PKC'09. This problem aims to factorize two RSA moduli $N_1=p_1q_1$ and $N_2=p_2q_2$ when their prime factors share a certain number of least significant bits (LSBs). They propose... | [] | Validation |
20,492 | 16 | Title: Promoting Generalization in Cross-Dataset Remote Photoplethysmography
Abstract: Remote Photoplethysmography (rPPG), or the remote monitoring of a subject’s heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While current solutions offer substantial performance gains,... | [] | Test |
20,493 | 24 | Title: Expressive Losses for Verified Robustness via Convex Combinations
Abstract: In order to train networks for verified adversarial robustness, previous work typically over-approximates the worst-case loss over (subsets of) perturbation regions or induces verifiability on top of adversarial training. The key to stat... | [
25793,
33220
] | Train |
20,494 | 16 | Title: Risk Classification of Brain Metastases via Radiomics, Delta-Radiomics and Machine Learning
Abstract: Stereotactic radiotherapy (SRT) is one of the most important treatment for patients with brain metastases (BM). Conventionally, following SRT patients are monitored by serial imaging and receive salvage treatmen... | [] | Validation |
20,495 | 30 | Title: Comparing Variation in Tokenizer Outputs Using a Series of Problematic and Challenging Biomedical Sentences
Abstract: Background&Objective: Biomedical text data are increasingly available for research. Tokenization is an initial step in many biomedical text mining pipelines. Tokenization is the process of parsin... | [] | Train |
20,496 | 27 | Title: Stable Real-Time Feedback Control of a Pneumatic Soft Robot
Abstract: Soft actuators offer compliant and safe interaction with an unstructured environment compared to their rigid counterparts. However, control of these systems is often challenging because they are inherently under-actuated, have infinite degrees... | [] | Train |
20,497 | 24 | Title: Compositional Generalization from First Principles
Abstract: Leveraging the compositional nature of our world to expedite learning and facilitate generalization is a hallmark of human perception. In machine learning, on the other hand, achieving compositional generalization has proven to be an elusive goal, even... | [
35873
] | Test |
20,498 | 27 | Title: Energy Sufficiency in Unknown Environments via Control Barrier Functions
Abstract: Maintaining energy sufficiency of a battery-powered robot system is a essential for long-term missions. This capability should be flexible enough to deal with different types of environment and a wide range of missions, while cons... | [] | Train |
20,499 | 31 | Title: Recommender Systems: A Primer
Abstract: Personalized recommendations have become a common feature of modern online services, including most major e-commerce sites, media platforms and social networks. Today, due to their high practical relevance, research in the area of recommender systems is flourishing more th... | [] | Train |
20,500 | 6 | Title: I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue
Abstract: Current Spoken Dialogue Systems (SDSs) often serve as passive listeners that respond only after receiving user speech. To achieve human-like dialogue, we propose a novel future prediction architecture t... | [] | Train |
20,501 | 24 | Title: Federated Learning with Regularized Client Participation
Abstract: Federated Learning (FL) is a distributed machine learning approach where multiple clients work together to solve a machine learning task. One of the key challenges in FL is the issue of partial participation, which occurs when a large number of c... | [
35189
] | Validation |
20,502 | 10 | Title: Benchmarks for Automated Commonsense Reasoning: A Survey
Abstract: More than one hundred benchmarks have been developed to test the commonsense knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems. However, these benchmarks are often flawed, and many aspects of common sense remai... | [
5377,
14881,
33220,
17606,
6535,
32744,
45478,
6061,
44173,
3861,
35580,
45342
] | Train |
20,503 | 26 | Title: Retrieving false claims on Twitter during the Russia-Ukraine conflict
Abstract: Nowadays, false and unverified information on social media sway individuals’ perceptions during major geo-political events and threaten the quality of the whole digital information ecosystem. Since the Russian invasion of Ukraine, se... | [
29927,
34724,
14471
] | Validation |
20,504 | 16 | Title: UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
Abstract: Generating photorealistic images with controllable camera pose and scene contents is essential for many applications including AR/VR and simulation. Despite the fact that rapid progress has been made in 3D-aware g... | [
37832,
28673
] | Train |
20,505 | 16 | Title: CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey
Abstract: Classifying the behavior of humans or animals from videos is important in biomedical fields for understanding brain function and response to stimuli. Action recognition, classifying activities performe... | [] | Train |
20,506 | 3 | Title: Analyzing the Endeavours of the Supreme Court of India to Transcribe and Translate Court Arguments in Light of the Proposed EU AI Act
Abstract: The Supreme Court of India has been a pioneer in using ICT in courts through its e-Courts project in India. Yet another leap, its recent project, Design, Development, an... | [
17606
] | Train |
20,507 | 37 | Title: Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study
Abstract: Large Language Models (LLMs) are capable of answering questions in natural language for various purposes. With recent advancements (such as GPT-4), LLMs perform at a level comparable to humans for many proficient... | [
26878,
18906,
33220,
1326
] | Validation |
20,508 | 2 | Title: Coherence by Normalization for Linear Multicategorical Structures
Abstract: We establish a formal correspondence between resource calculi an appropriate linear multicategories. We consider the cases of (symmetric) representable, symmetric closed and autonomous multicategories. For all these structures, we prove ... | [] | Train |
20,509 | 16 | Title: Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Abstract: Downsampling layers, including pooling and strided convolutions, are crucial components of the convolutional neural network architecture that determine both the granularity/scale of image feature analysis as well as the receptive f... | [
857
] | Train |
20,510 | 16 | Title: Prompting Visual-Language Models for Dynamic Facial Expression Recognition
Abstract: This paper presents a novel visual-language model called DFER-CLIP, which is based on the CLIP model and designed for in-the-wild Dynamic Facial Expression Recognition (DFER). Specifically, the proposed DFER-CLIP consists of a v... | [
6346,
28885
] | Validation |
20,511 | 24 | Title: InVAErt networks: a data-driven framework for model synthesis and identifiability analysis
Abstract: Use of generative models and deep learning for physics-based systems is currently dominated by the task of emulation. However, the remarkable flexibility offered by data-driven architectures would suggest to exte... | [] | Test |
20,512 | 23 | Title: Foundational DevOps Patterns
Abstract: Adopting DevOps practices is nowadays a recurring task in the industry. DevOps is a set of practices intended to reduce the friction between the software development (Dev) and the IT operations (Ops), resulting in higher quality software and a shorter development lifecycle.... | [] | Test |
20,513 | 30 | Title: TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction
Abstract: Dialogue-based Relation Extraction (DRE) aims to predict the relation type of argument pairs that are mentioned in dialogue. The latest trigger-enhanced methods propose trigger prediction tasks to... | [] | Train |
20,514 | 16 | Title: Cones: Concept Neurons in Diffusion Models for Customized Generation
Abstract: Human brains respond to semantic features of presented stimuli with different neurons. It is then curious whether modern deep neural networks admit a similar behavior pattern. Specifically, this paper finds a small cluster of neurons ... | [
24550,
31913,
24763,
17647,
41874,
22995,
25400,
30360,
41146,
43867
] | Test |
20,515 | 16 | Title: Image Memorability Prediction with Vision Transformers
Abstract: Behavioral studies have shown that the memorability of images is similar across groups of people, suggesting that memorability is a function of the intrinsic properties of images, and is unrelated to people's individual experiences and traits. Deep... | [
5969,
11527
] | Train |
20,516 | 36 | Title: Mechanisms that play a game, not toss a coin
Abstract: Randomized mechanisms can have good normative properties compared to their deterministic counterparts. However, randomized mechanisms are problematic in several ways such as in their verifiability. We propose here to derandomize such mechanisms by having age... | [] | Validation |
20,517 | 16 | Title: The minimal computational substrate of fluid intelligence
Abstract: The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlled or constrained a priori, resulting in unkno... | [
29488
] | Train |
20,518 | 16 | Title: Rethinking Context Aggregation in Natural Image Matting
Abstract: For natural image matting, context information plays a crucial role in estimating alpha mattes especially when it is challenging to distinguish foreground from its background. Exiting deep learning-based methods exploit specifically designed conte... | [] | Validation |
20,519 | 16 | Title: BluNF: Blueprint Neural Field
Abstract: Neural Radiance Fields (NeRFs) have revolutionized scene novel view synthesis, offering visually realistic, precise, and robust implicit reconstructions. While recent approaches enable NeRF editing, such as object removal, 3D shape modification, or material property manipu... | [] | Validation |
20,520 | 24 | Title: MPR-Net: Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting
Abstract: Time series forecasting has received wide interest from existing research due to its broad applications and inherent challenging. The research challenge lies in identifying effective patterns in historic... | [] | Train |
20,521 | 6 | Title: Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts
Abstract: The circulation of historical books has always been an area of interest for historians. However, the data used to represent the journey of a book across different places and times can be diffi... | [] | Train |
20,522 | 16 | Title: Masked and Permuted Implicit Context Learning for Scene Text Recognition
Abstract: Scene Text Recognition (STR) is a challenging task due to variations in text style, shape, and background. Incorporating linguistic information is an effective way to enhance the robustness of STR models. Existing methods rely on ... | [] | Train |
20,523 | 2 | Title: Neural Abstractions
Abstract: We present a novel method for the safety verification of nonlinear dynamical models that uses neural networks to represent abstractions of their dynamics. Neural networks have extensively been used before as approximators; in this work, we make a step further and use them for the fi... | [
36079
] | Train |
20,524 | 5 | Title: MPI Application Binary Interface Standardization
Abstract: MPI is the most widely used interface for high-performance computing (HPC) workloads. Its success lies in its embrace of libraries and ability to evolve while maintaining backward compatibility for older codes, enabling them to run on new architectures f... | [] | Train |
20,525 | 16 | Title: SIDAR: Synthetic Image Dataset for Alignment & Restoration
Abstract: Image alignment and image restoration are classical computer vision tasks. However, there is still a lack of datasets that provide enough data to train and evaluate end-to-end deep learning models. Obtaining ground-truth data for image alignmen... | [] | Train |
20,526 | 16 | Title: OAFuser: Towards Omni-Aperture Fusion for Light Field Semantic Segmentation of Road Scenes
Abstract: Light field cameras can provide rich angular and spatial information to enhance image semantic segmentation for scene understanding in the field of autonomous driving. However, the extensive angular information o... | [
39619
] | Train |
20,527 | 10 | Title: Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Abstract: Temporal knowledge graph (TKG) reasoning aims to predict the future missing facts based on historical information and has gained increasing research interest recently. Lots of works have been made to model the historical structural and... | [
24871
] | Test |
20,528 | 23 | Title: Start Your EM(otion En)gine: Towards Computational Models of Emotion for Improving the Believability of Video Game Non-Player Characters
Abstract: Believable Non-Player Characters (NPCs) help motivate player engagement with narrative-driven games. An important aspect of believable characters is their contextuall... | [] | Train |
20,529 | 23 | Title: Property-Based Mutation Testing
Abstract: Mutation testing is an established software quality assurance technique for the assessment of test suites. While it is well-suited to estimate the general fault-revealing capability of a test suite, it is not practical and informative when the software under test must be... | [] | Validation |
20,530 | 24 | Title: The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
Abstract: The study of the stock market with the attraction of machine learning approaches is a major direction for revealing hidden market regularities. This knowledge contributes to a profound und... | [] | Validation |
20,531 | 30 | Title: Deception Abilities Emerged in Large Language Models
Abstract: Large language models (LLMs) are currently at the forefront of intertwining artificial intelligence (AI) systems with human communication and everyday life. Thus, aligning them with human values is of great importance. However, given the steady incre... | [
28896,
25924,
13510,
17606,
30087,
28905,
14219,
5071,
10800,
2833,
14740,
29396,
35927,
1401,
10749
] | Train |
20,532 | 16 | Title: A Gated Cross-domain Collaborative Network for Underwater Object Detection
Abstract: Underwater object detection (UOD) plays a significant role in aquaculture and marine environmental protection. Considering the challenges posed by low contrast and low-light conditions in underwater environments, several underwa... | [] | Train |
20,533 | 6 | Title: Mystique: Deconstructing SVG Charts for Layout Reuse
Abstract: To facilitate the reuse of existing charts, previous research has examined how to obtain a semantic understanding of a chart by deconstructing its visual representation into reusable components, such as encodings. However, existing deconstruction app... | [
16384
] | Train |
20,534 | 4 | Title: BackCache: Mitigating Contention-Based Cache Timing Attacks by Hiding Cache Line Evictions
Abstract: Caches are used to reduce the speed differential between the CPU and memory to improve the performance of modern processors. However, attackers can use contention-based cache timing attacks to steal sensitive inf... | [] | Test |
20,535 | 16 | Title: Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
Abstract: Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes. Existing approaches to solving this challenging task ... | [
38552,
40079,
38135
] | Train |
20,536 | 16 | Title: Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation
Abstract: Within the context of autonomous driving, encountering unknown objects becomes inevitable during deployment in the open world. Therefore, it is crucial to equip standard semantic segmentation models with anomaly awareness. Many prev... | [
16024,
16513,
20955,
15967
] | Train |
20,537 | 24 | Title: Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization
Abstract: Automated machine learning (AutoML) methods improve upon existing models by optimizing various aspects of their design. While present methods focus on hyperparameters and neural network topologies, othe... | [] | Validation |
20,538 | 16 | Title: Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models
Abstract: In recent years, optimization in the learned latent space of deep generative models has been successfully applied to black-box optimization problems such as drug design, image generat... | [] | Train |
20,539 | 24 | Title: Group Equivariant Fourier Neural Operators for Partial Differential Equations
Abstract: We consider solving partial differential equations (PDEs) with Fourier neural operators (FNOs), which operate in the frequency domain. Since the laws of physics do not depend on the coordinate system used to describe them, it... | [
19311
] | Train |
20,540 | 16 | Title: Problems and shortcuts in deep learning for screening mammography
Abstract: This work reveals undiscovered challenges in the performance and generalizability of deep learning models. We (1) identify spurious shortcuts and evaluation issues that can inflate performance and (2) propose training and analysis method... | [] | Train |
20,541 | 24 | Title: Augmented Message Passing Stein Variational Gradient Descent
Abstract: Stein Variational Gradient Descent (SVGD) is a popular particle-based method for Bayesian inference. However, its convergence suffers from the variance collapse, which reduces the accuracy and diversity of the estimation. In this paper, we st... | [] | Validation |
20,542 | 16 | Title: Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception
Abstract: Due to the uneven scattering and absorption of different light wavelengths in aquatic environments, underwater images suffer from low visibility and clear color deviations. With the advancement of autonomou... | [
36829,
31163,
7077,
1903
] | Train |
20,543 | 24 | Title: The Exact Sample Complexity Gain from Invariances for Kernel Regression on Manifolds
Abstract: In practice, encoding invariances into models helps sample complexity. In this work, we tighten and generalize theoretical results on how invariances improve sample complexity. In particular, we provide minimax optimal... | [
17820
] | Validation |
20,544 | 27 | Title: Learning to Open Doors with an Aerial Manipulator
Abstract: The field of aerial manipulation has seen rapid advances, transitioning from push-and-slide tasks to interaction with articulated objects. So far, when more complex actions are performed, the motion trajectory is usually handcrafted or a result of onlin... | [] | Train |
20,545 | 25 | Title: Sim-T: Simplify the Transformer Network by Multiplexing Technique for Speech Recognition
Abstract: In recent years, a great deal of attention has been paid to the Transformer network for speech recognition tasks due to its excellent model performance. However, the Transformer network always involves heavy comput... | [] | Train |
20,546 | 24 | Title: Teaching Arithmetic to Small Transformers
Abstract: Large language models like GPT-4 exhibit emergent capabilities across general-purpose tasks, such as basic arithmetic, when trained on extensive text data, even though these tasks are not explicitly encoded by the unsupervised, next-token prediction objective. ... | [
19394,
40099,
13700,
15973,
2342,
13510,
1581,
22578,
6932,
45534
] | Test |
20,547 | 23 | Title: SatAIOps: Revamping the Full Life-Cycle Satellite Network Operations
Abstract: Recently advanced non-geostationary (NGSO) satellite networks represented by large constellations and advanced payloads provide great promises for enabling high-quality Internet connectivity to any place on Earth. However, the traditi... | [] | Test |
20,548 | 16 | Title: FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection
Abstract: Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. The decentralized nature of FL makes it susceptible to adversarial attacks, especially backdoor i... | [] | Validation |
20,549 | 4 | Title: Transient Attack against the VMG-KLJN Secure Key Exchanger
Abstract: The security vulnerability of the Vadai, Mingesz, and Gingl (VMG) Kirchhoff-Law-Johnson-Noise (KLJN) key exchanger, as presented in the publication"Nature, Science Report 5 (2015) 13653,"has been exposed to transient attacks. Recently an effect... | [] | Test |
20,550 | 3 | Title: Machine Learning practices and infrastructures
Abstract: Machine Learning (ML) systems, particularly when deployed in high-stakes domains, are deeply consequential. They can exacerbate existing inequities, create new modes of discrimination, and reify outdated social constructs. Accordingly, the social context (... | [] | Train |
20,551 | 16 | Title: Measuring axiomatic soundness of counterfactual image models
Abstract: We present a general framework for evaluating image counterfactuals. The power and flexibility of deep generative models make them valuable tools for learning mechanisms in structural causal models. However, their flexibility makes counterfac... | [
3992,
24139
] | Test |
20,552 | 4 | Title: Authenticated and Secure Automotive Service Discovery with DNSSEC and DANE
Abstract: Automotive softwarization is progressing and future cars are expected to operate a Service-Oriented Architecture on multipurpose compute units, which are interconnected via a high-speed Ethernet backbone. The AUTOSAR architectur... | [] | Train |
20,553 | 25 | Title: Happy or Evil Laughter? Analysing a Database of Natural Audio Samples
Abstract: We conducted a data collection on the basis of the Google AudioSet database by selecting a subset of the samples annotated with \textit{laughter}. The selection criterion was to be present a communicative act with clear connotation o... | [] | Test |
20,554 | 24 | Title: Approaching Peak Ground Truth
Abstract: Machine learning models are typically evaluated by computing similarity with reference annotations and trained by maximizing similarity with such. Especially in the biomedical domain, annotations are subjective and suffer from low inter-and intra-rater reliability. Since a... | [] | Test |
20,555 | 24 | Title: MP3: Movement Primitive-Based (Re-)Planning Policy
Abstract: We introduce a novel deep reinforcement learning (RL) approach called Movement Primitive-based Planning Policy (MP3). By integrating movement primitives (MPs) into the deep RL framework, MP3 enables the generation of smooth trajectories throughout the ... | [
33220
] | Validation |
20,556 | 27 | Title: LIV: Language-Image Representations and Rewards for Robotic Control
Abstract: We present Language-Image Value learning (LIV), a unified objective for vision-language representation and reward learning from action-free videos with text annotations. Exploiting a novel connection between dual reinforcement learning... | [
4385,
3398,
8214,
21782,
6104,
10846
] | Train |
20,557 | 16 | Title: Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
Abstract: We propose a novel framework for few-shot learning by leveraging large-scale vision-language models such as CLIP. Motivated by the unimodal prototypical networks for few-shot learning, we introduce PROTO-CLIP that utilizes image pro... | [] | Train |
20,558 | 34 | Title: Approximate Turing kernelization and lower bounds for domination problems
Abstract: An $\alpha$-approximate polynomial Turing kernelization is a polynomial-time algorithm that computes an $(\alpha c)$-approximate solution for a parameterized optimization problem when given access to an oracle that can compute $c... | [] | Train |
20,559 | 5 | Title: DECICE: Device-Edge-Cloud Intelligent Collaboration Framework
Abstract: DECICE is a Horizon Europe project that is developing an AI-enabled open and portable management framework for automatic and adaptive optimization and deployment of applications in computing continuum encompassing from IoT sensors on the Edg... | [
35340
] | Validation |
20,560 | 27 | Title: A Vision-Based Autonomous UAV Inspection Framework for Unknown Tunnel Construction Sites With Dynamic Obstacles
Abstract: Tunnel construction using the drill-and-blast method requires the 3D measurement of the excavation front to evaluate underbreak locations. Considering the inspection and measurement task's sa... | [] | Test |
20,561 | 3 | Title: The pop song generator: designing an online course to teach collaborative, creative AI
Abstract: This article describes and evaluates a new online AI-creativity course. The course is based around three near-state-of-the-art AI models combined into a pop song generating system. A fine-tuned GPT-2 model writes lyr... | [] | Train |
20,562 | 16 | Title: CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Abstract: Open vocabulary models (e.g. CLIP) have shown strong performance on zero-shot classification through their ability generate embeddings for each class based on their (natural language) names. Prior work has focused on improving the accur... | [
44416,
3590,
16171,
24112,
40497,
32272
] | Train |
20,563 | 28 | Title: Age of Information of a Power Constrained Scheduler in the Presence of a Power Constrained Adversary
Abstract: We consider a time slotted communication network consisting of a base station (BS), an adversary, $N$ users and $N_{s}$ communication channels. In the first part of the paper, we consider the setting wh... | [
21447
] | Train |
20,564 | 24 | Title: Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark
Abstract: As deep learning technology advances and more urban spatial-temporal data accumulates, an increasing number of deep learning models are being proposed to solve urban spatial-temporal predi... | [
7778,
26930,
10642
] | Train |
20,565 | 30 | Title: RetVec: Resilient and Efficient Text Vectorizer
Abstract: This paper describes RetVec, a resilient multilingual embedding scheme designed for neural-based text processing, including small-text classification and large-language models. RetVec combines a novel character encoding with an optional small model to emb... | [] | Validation |
20,566 | 16 | Title: Rethinking Soft Label in Label Distribution Learning Perspective
Abstract: The primary goal of training in early convolutional neural networks (CNN) is the higher generalization performance of the model. However, as the expected calibration error (ECE), which quantifies the explanatory power of model inference, w... | [] | Train |
20,567 | 16 | Title: FAST: Font-Agnostic Scene Text Editing
Abstract: Scene Text Editing (STE) is a challenging research problem, and it aims to modify existing texts in an image while preserving the background and the font style of the original text of the image. Due to its various real-life applications, researchers have explored ... | [] | Train |
20,568 | 4 | Title: Enhanced Security with Encrypted Vision Transformer in Federated Learning
Abstract: Federated learning is a learning method for training models over multiple participants without directly sharing their raw data, and it has been expected to be a privacy protection method for training data. In contrast, attack met... | [] | Train |
20,569 | 30 | Title: Multilingual Speech-to-Speech Translation into Multiple Target Languages
Abstract: Speech-to-speech translation (S2ST) enables spoken communication between people talking in different languages. Despite a few studies on multilingual S2ST, their focus is the multilinguality on the source side, i.e., the translati... | [] | Train |
20,570 | 28 | Title: Near-Field Beam Focusing Pattern and Grating Lobe Characterization for Modular XL-Array
Abstract: In this paper, we investigate the near-field modelling and analyze the beam focusing pattern for modular extremely large-scale array (XL-array) communications. As modular XL-array is physically and electrically larg... | [
33872,
37676
] | Test |
20,571 | 24 | Title: Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity
Abstract: Finding similar patients is a common objective in precision medicine, facilitating treatment outcome assessment and clinical decision support. Choosing widely-available patient features and appropriate mathematical... | [] | Test |
20,572 | 2 | Title: Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny
Abstract: The Ethereum protocol implements a replicated state machine. The network participants keep track of the system state by: 1) agreeing on the sequence of transactions to be processed and 2) computing the state transitions that corre... | [] | Train |
20,573 | 16 | Title: Spatial-Frequency Attention for Image Denoising
Abstract: The recently developed transformer networks have achieved impressive performance in image denoising by exploiting the self-attention (SA) in images. However, the existing methods mostly use a relatively small window to compute SA due to the quadratic comp... | [] | Test |
20,574 | 16 | Title: Comparative Evaluation of Digital and Analog Chest Radiographs to Identify Tuberculosis using Deep Learning Model
Abstract: Purpose:Chest X-ray (CXR) is an essential tool and one of the most prescribed imaging to detect pulmonary abnormalities, with a yearly estimate of over 2 billion imaging performed worldwide... | [] | Test |
20,575 | 30 | Title: Investigating Forgetting in Pre-Trained Representations Through Continual Learning
Abstract: Representation forgetting refers to the drift of contextualized representations during continual training. Intuitively, the representation forgetting can influence the general knowledge stored in pre-trained language mod... | [
20464
] | Train |
20,576 | 24 | Title: HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for VLSI Congestion Prediction (Extended Abstract)
Abstract: Accurate early congestion prediction can prevent unpleasant surprises at the routing stage, playing a crucial character in assisting designers to iterate faster in VLSI design cycles. I... | [] | Train |
20,577 | 16 | Title: T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities
Abstract: Diffusion Probabilistic Field (DPF) models the distribution of continuous functions defined over metric spaces. While DPF shows great potential for unifying data generation of various modalities including images,... | [
29531,
23563,
28436,
40671
] | Train |
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