node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
28,978 | 37 | Title: Revisiting Prompt Engineering via Declarative Crowdsourcing
Abstract: Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone. There has been an advent of toolkits and recipes centered around so-called prompt engineering-the p... | [
39873,
13510,
8493,
846,
36751,
16464,
43566,
41554,
3861,
39642,
17789
] | Train |
28,979 | 24 | Title: Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Abstract: Pseudo-labeling has emerged as a popular and effective approach for utilizing unlabeled data. However, in the context of semi-supervised multi-label learning (SSMLL), conventional pseudo-labeling methods encounter difficu... | [] | Validation |
28,980 | 3 | Title: Large Language Models Can Be Used to Scale the Ideologies of Politicians in a Zero-Shot Learning Setting
Abstract: The aggregation of knowledge embedded in large language models (LLMs) holds the promise of new solutions to problems of observability and measurement in the social sciences. We examine this potentia... | [
37870,
36751,
35376,
39642,
12602,
23359
] | Train |
28,981 | 30 | Title: Zero-shot Entailment of Leaderboards for Empirical AI Research
Abstract: We present a large-scale empirical investigation of the zero-shot learning phenomena in a specific recognizing textual entailment (RTE) task category, i.e. the automated mining of leaderboards for Empirical AI Research. The prior reported s... | [] | Train |
28,982 | 30 | Title: Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing
Abstract: Cross-lingual semantic parsing transfers parsing capability from a high-resource language (e.g., English) to low-resource languages with scarce training data. Previous work has primarily considered silver-standard data augmentatio... | [
38904,
37957,
45784
] | Train |
28,983 | 27 | Title: Ring-Rotor: A Novel Retractable Ring-Shaped Quadrotor With Aerial Grasping and Transportation Capability
Abstract: This letter presents a novel and retractable ring-shaped quadrotor called Ring-Rotor that can adjust the vehicle's length and width simultaneously. Unlike other morphing quadrotors with high platfor... | [] | Test |
28,984 | 27 | Title: VIO-DualProNet: Visual-Inertial Odometry with Learning Based Process Noise Covariance
Abstract: Visual-inertial odometry (VIO) is a vital technique used in robotics, augmented reality, and autonomous vehicles. It combines visual and inertial measurements to accurately estimate position and orientation. Existing ... | [
29877
] | Test |
28,985 | 24 | Title: Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series
Abstract: The field of time series anomaly detection is constantly advancing, with several methods available, making it a challenge to determine the most appropriate method for a specific domain. The evaluation of t... | [] | Train |
28,986 | 24 | Title: AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against White-Box Models
Abstract: Explainable Artificial Intelligence (XAI) encompasses a range of techniques and procedures aimed at elucidating the decision-making processes of AI models. While XAI is valuable in understanding the reasoni... | [] | Validation |
28,987 | 24 | Title: RSRM: Reinforcement Symbolic Regression Machine
Abstract: In nature, the behaviors of many complex systems can be described by parsimonious math equations. Automatically distilling these equations from limited data is cast as a symbolic regression process which hitherto remains a grand challenge. Keen efforts in... | [] | Train |
28,988 | 24 | Title: Discovering mesoscopic descriptions of collective movement with neural stochastic modelling
Abstract: Collective motion is an ubiquitous phenomenon in nature, inspiring engineers, physicists and mathematicians to develop mathematical models and bio-inspired designs. Collective motion at small to medium group siz... | [] | Validation |
28,989 | 16 | Title: Tag-based annotation creates better avatars
Abstract: Avatar creation from human images allows users to customize their digital figures in different styles. Existing rendering systems like Bitmoji, MetaHuman, and Google Cartoonset provide expressive rendering systems that serve as excellent design tools for user... | [
21940,
4988
] | Train |
28,990 | 10 | Title: Generalization through Diversity: Improving Unsupervised Environment Design
Abstract: Agent decision making using Reinforcement Learning (RL) heavily relies on either a model or simulator of the environment (e.g., moving in an 8x8 maze with three rooms, playing Chess on an 8x8 board). Due to this dependence, sma... | [
19580,
38766
] | Train |
28,991 | 16 | Title: ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
Abstract: Mixup style data augmentation algorithms have been widely adopted in various tasks as implicit network regularization on representation learning to improve model generalization, which can be achieved by a linea... | [] | Validation |
28,992 | 24 | Title: NeuroSurgeon: A Toolkit for Subnetwork Analysis
Abstract: Despite recent advances in the field of explainability, much remains unknown about the algorithms that neural networks learn to represent. Recent work has attempted to understand trained models by decomposing them into functional circuits (Csord\'as et al... | [
36039,
43560,
3018,
4434,
38834
] | Test |
28,993 | 10 | Title: Sequential annotations for naturally-occurring HRI: first insights
Abstract: We explain the methodology we developed for improving the interactions accomplished by an embedded conversational agent, drawing from Conversation Analytic sequential and multimodal analysis. The use case is a Pepper robot that is expec... | [] | Train |
28,994 | 24 | Title: Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Abstract: We present a novel framework to overcome the limitations of equivariant architectures in learning functions with group symmetries. In contrary to equivariant architectures, we use an arbitrary base model (such as an MLP or a t... | [
10624,
3495,
8660,
12378,
11323,
40478
] | Train |
28,995 | 16 | Title: DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose Estimation
Abstract: Category-level object pose estimation involves estimating the 6D pose and the 3D metric size of objects from predetermined categories. While recent approaches take categorical shape prior information... | [] | Validation |
28,996 | 13 | Title: Challenges of ELA-guided Function Evolution using Genetic Programming
Abstract: Within the optimization community, the question of how to generate new optimization problems has been gaining traction in recent years. Within topics such as instance space analysis (ISA), the generation of new problems can provide n... | [
6561,
38727
] | Train |
28,997 | 16 | Title: Randomized Adversarial Style Perturbations for Domain Generalization
Abstract: We propose a novel domain generalization technique, referred to as Randomized Adversarial Style Perturbation (RASP), which is motivated by the observation that the characteristics of each domain are captured by the feature statistics ... | [
23356
] | Test |
28,998 | 9 | Title: Nonlinear Random Matrices and Applications to the Sum of Squares Hierarchy
Abstract: We develop new tools in the theory of nonlinear random matrices and apply them to study the performance of the Sum of Squares (SoS) hierarchy on average-case problems. The SoS hierarchy is a powerful optimization technique that ... | [
21876
] | Train |
28,999 | 2 | Title: Locality Theorems in Semiring Semantics
Abstract: Semiring semantics of first-order logic generalises classical Boolean semantics by permitting truth values from a commutative semiring, which can model information such as costs or access restrictions. This raises the question to what extent classical model theor... | [] | Train |
29,000 | 16 | Title: FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization
Abstract: Novel view synthesis with sparse inputs is a challenging problem for neural radiance fields (NeRF). Recent efforts alleviate this challenge by introducing external supervision, such as pre-trained models and extra depth si... | [
45925,
26086,
23014,
11016,
44681,
21682,
35986,
41174,
40888,
36030
] | Train |
29,001 | 27 | Title: A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding
Abstract: We present a virtual reality (VR) framework to automate the data collection process in cloth folding tasks. The framework uses skeleton representations to help the user define the folding plans for different classes of garments,... | [
2680,
28323
] | Train |
29,002 | 30 | Title: Discovering Universal Geometry in Embeddings with ICA
Abstract: This study employs Independent Component Analysis (ICA) to uncover universal properties of embeddings of words or images. Our approach extracts independent semantic components of embeddings, enabling each embedding to be represented as a composition... | [
1264
] | Train |
29,003 | 16 | Title: Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation
Abstract: Autonomous vehicles and Advanced Driving Assistance Systems (ADAS) have the potential to radically change the way we travel. Many such of such vehicles currently rely on segmentation and object detection algori... | [] | Test |
29,004 | 16 | Title: Explore and Tell: Embodied Visual Captioning in 3D Environments
Abstract: While current visual captioning models have achieved impressive performance, they often assume that the image is well-captured and provides a complete view of the scene. In real-world scenarios, however, a single image may not offer a good... | [] | Train |
29,005 | 27 | Title: Wheelless Soft Robotic Snake Locomotion: Study on Sidewinding and Helical Rolling Gaits
Abstract: Soft robotic snakes (SRSs) have a unique combination of continuous and compliant properties that allow them to imitate the complex movements of biological snakes. Despite the previous attempts to develop SRSs, many ... | [
9352
] | Train |
29,006 | 24 | Title: Convergence of Two-Layer Regression with Nonlinear Units
Abstract: Large language models (LLMs), such as ChatGPT and GPT4, have shown outstanding performance in many human life task. Attention computation plays an important role in training LLMs. Softmax unit and ReLU unit are the key structure in attention comp... | [
32416,
40196,
33220,
13510,
5447,
15561,
29867,
40301,
20911,
1298,
7506,
26578,
16949,
39573,
4663,
7643,
8190
] | Train |
29,007 | 4 | Title: An Adaptive Decision-Making Approach for Better Selection of a Blockchain Platform for Health Insurance Frauds Detection with Smart Contracts: Development and Performance Evaluation
Abstract: Blockchain technology has piqued the interest of businesses of all types, while consistently improving and adapting to de... | [] | Validation |
29,008 | 30 | Title: Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships
Abstract: Understanding interpersonal communication requires, in part, understanding the social context and norms in which a message is said. However, current methods for identifying ... | [
21794
] | Test |
29,009 | 16 | Title: Alignment-free HDR Deghosting with Semantics Consistent Transformer
Abstract: High dynamic range (HDR) imaging aims to retrieve information from multiple low-dynamic range inputs to generate realistic output. The essence is to leverage the contextual information, including both dynamic and static semantics, for ... | [
44810
] | Train |
29,010 | 30 | Title: DarkBERT: A Language Model for the Dark Side of the Internet
Abstract: Recent research has suggested that there are clear differences in the language used in the Dark Web compared to that of the Surface Web. As studies on the Dark Web commonly require textual analysis of the domain, language models specific to t... | [
20756,
6335
] | Train |
29,011 | 4 | Title: Simulating Noisy Quantum Circuits for Cryptographic Algorithms
Abstract: The emergence of noisy intermediate-scale quantum (NISQ) computers has important consequences for cryptographic algorithms. It is theoretically well-established that key algorithms used in cybersecurity are vulnerable to quantum computers d... | [] | Test |
29,012 | 37 | Title: Attribution-Scores in Data Management and Explainable Machine Learning
Abstract: We describe recent research on the use of actual causality in the definition of responsibility scores as explanations for query answers in databases, and for outcomes from classification models in machine learning. In the case of da... | [
33182,
182,
38975
] | Validation |
29,013 | 24 | Title: A Strong Baseline for Batch Imitation Learning
Abstract: Imitation of expert behaviour is a highly desirable and safe approach to the problem of sequential decision making. We provide an easy-to-implement, novel algorithm for imitation learning under a strict data paradigm, in which the agent must learn solely f... | [
25623,
12415
] | Train |
29,014 | 24 | Title: Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion
Abstract: Diffusion models have achieved state-of-the-art performance in generating many different kinds of data, including images, text, and videos. Despite their success, there has been limited research on how the underlying diffus... | [] | Test |
29,015 | 16 | Title: Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance
Abstract: Pseudo depth maps are depth map predicitions which are used as ground truth during training. In this paper we leverage pseudo depth maps in order to segment objects of classes that have never been seen during training. ... | [
36951
] | Train |
29,016 | 16 | Title: From Unimodal to Multimodal: improving the sEMG-Based Pattern Recognition via deep generative models
Abstract: Objective: Multimodal hand gesture recognition (HGR) systems can achieve higher recognition accuracy compared to unimodal HGR systems. However, acquiring multimodal gesture recognition data typically re... | [
15628
] | Train |
29,017 | 10 | Title: Understanding the Capabilities of Large Language Models for Automated Planning
Abstract: Automated planning is concerned with developing efficient algorithms to generate plans or sequences of actions to achieve a specific goal in a given environment. Emerging Large Language Models (LLMs) can answer questions, wr... | [
40192,
31817,
39466,
39114,
33455,
402,
8436,
31832,
12602
] | Train |
29,018 | 16 | Title: Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images
Abstract: This paper shows that it is possible to learn models for monocular 3D reconstruction of articulated objects (e.g. horses, cows, sheep), using as few as 50–150 images labeled with 2D keypoints. Our proposed approach involves training... | [] | Validation |
29,019 | 5 | Title: Sidecars on the Central Lane: Impact of Network Proxies on Microservices
Abstract: Cloud applications are moving away from monolithic model towards loosely-coupled microservices designs. Service meshes are widely used for implementing microservices applications mainly because they provide a modular architecture ... | [] | Test |
29,020 | 16 | Title: SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction
Abstract: Many imaging inverse problems$\unicode{x2014}$such as image-dependent in-painting and dehazing$\unicode{x2014}$are challenging because their forward models are unknown or depend on unknown latent parameters. While one can solve su... | [
500
] | Test |
29,021 | 30 | Title: ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
Abstract: As ChatGPT and GPT-4 spearhead the development of Large Language Models (LLMs), more researchers are investigating their performance across various tasks. But more research needs to be done on the interpretability capabilit... | [
33220,
14236,
15325,
44246
] | Train |
29,022 | 24 | Title: Approximate spectral clustering density-based similarity for noisy datasets
Abstract: nan | [
25723
] | Validation |
29,023 | 6 | Title: Augmenting Sports Videos with VisCommentator
Abstract: Visualizing data in sports videos is gaining traction in sports analytics, given its ability to communicate insights and explicate player strategies engagingly. However, augmenting sports videos with such data visualizations is challenging, especially for sp... | [
13497,
30771,
43427
] | Validation |
29,024 | 11 | Title: Using Multi-Agent MicroServices (MAMS) for Agent Based Modelling
Abstract: This paper demonstrates the use of the Multi-Agent MicroServices (MAMS) architectural style through a case study based around the development of a prototype traffic simulation in which agents model a population of individuals who travel f... | [] | Train |
29,025 | 16 | Title: Curriculum Guided Domain Adaptation in the Dark
Abstract: Addressing the rising concerns of privacy and security, domain adaptation in the dark aims to adapt a black-box source trained model to an unlabeled target domain without access to any source data or source model parameters. The need for domain adaptation... | [
26803
] | Validation |
29,026 | 30 | Title: Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
Abstract: A human decision-maker benefits the most from an AI assistant that corrects for their biases. For problems such as generating interpretation of a radiology report given findings, a system predicting only highly likely o... | [] | Train |
29,027 | 24 | Title: Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
Abstract: A backdoor attack allows a malicious user to manipulate the environment or corrupt the training data, thus inserting a backdoor into the trained agent. Such attacks compromise the RL system's reliability, leading ... | [
12170
] | Validation |
29,028 | 4 | Title: ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems
Abstract: More and more edge devices and mobile apps are leveraging deep learning (DL) capabilities. Deploying such models on devices – referred to as on-device models – rather than as remote cloud-hosted services, has gained pop... | [
23225
] | Test |
29,029 | 6 | Title: EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis
Abstract: Recent work has shown that when both the chart and caption emphasize the same aspects of the data, readers tend to remember the doubly-emphasized features as takeaways; when there is a mismatch, readers rely on the chart to form takeaways a... | [] | Train |
29,030 | 4 | Title: Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection
Abstract: Upcoming certification actions related to the security of machine learning (ML) based systems raise major evaluation challenges that are amplified by the large-scale deployment of models in many hardware platfor... | [
5360
] | Test |
29,031 | 30 | Title: A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Abstract: Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many business and research domains. Machine learning, deep learning, and natural language pr... | [
19545,
6921
] | Train |
29,032 | 34 | Title: Sliding Block Hashing (Slick) - Basic Algorithmic Ideas
Abstract: We present {\bf Sli}ding Blo{\bf ck} Hashing (Slick), a simple hash table data structure that combines high performance with very good space efficiency. This preliminary report outlines avenues for analysis and implementation that we intend to pur... | [] | Validation |
29,033 | 16 | Title: Histograms of Points, Orientations, and Dynamics of Orientations Features for Hindi Online Handwritten Character Recognition
Abstract: A set of features independent of character stroke direction and order variations is proposed for online handwritten character recognition. A method is developed that maps feature... | [] | Validation |
29,034 | 1 | Title: Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction
Abstract: Transmitting images for communication on social networks has become routine, which is helpful for covert communication. The traditional steganography algorithm is unable to succes... | [] | Train |
29,035 | 36 | Title: On the Manipulability of Maximum Vertex-Weighted Bipartite b-matching Mechanisms
Abstract: In this paper, we study the Maximum Vertex-weighted $b$-Matching (MVbM) problem on bipartite graphs in a new game-theoretical environment. In contrast to other game-theoretical settings, we consider the case in which the v... | [] | Test |
29,036 | 16 | Title: Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection
Abstract: Out-of-domain (OOD) detection is a crucial component in industrial applications as it helps identify when a model encounters inputs that are outside the training distribution. Most industrial pipelines rely on pre-trained m... | [] | Validation |
29,037 | 24 | Title: Curating Naturally Adversarial Datasets for Trustworthy AI in Healthcare
Abstract: Deep learning models have shown promising predictive accuracy for time-series healthcare applications. However, ensuring the robustness of these models is vital for building trustworthy AI systems. Existing research predominantly ... | [] | Test |
29,038 | 6 | Title: Assessing Trust in Construction AI-Powered Collaborative Robots using Structural Equation Modeling
Abstract: This study aimed to investigate the key technical and psychological factors that impact the architecture, engineering, and construction (AEC) professionals' trust in collaborative robots (cobots) powered ... | [
5999
] | Test |
29,039 | 30 | Title: N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space
Abstract: Error correction models form an important part of Automatic Speech Recognition (ASR) post-processing to improve the readability and quality of transcriptions. Most prior works use the 1-best ASR hypoth... | [
44937
] | Train |
29,040 | 27 | Title: KITE: Keypoint-Conditioned Policies for Semantic Manipulation
Abstract: While natural language offers a convenient shared interface for humans and robots, enabling robots to interpret and follow language commands remains a longstanding challenge in manipulation. A crucial step to realizing a performant instructi... | [
26562,
33715,
22518
] | Test |
29,041 | 16 | Title: End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction
Abstract: Intensity modulated radiotherapy (IMRT) is one of the most common modalities for treating cancer patients. One of the biggest challenges is precise treatment delivery that accounts for varying motion patterns... | [] | Train |
29,042 | 10 | Title: Optimisation via encodings: a renormalisation group perspective
Abstract: The traditional way of tackling discrete optimization problems is by using local search on suitably defined cost or fitness landscapes. Such approaches are however limited by the slowing down that occurs when local minima, that are a featu... | [] | Train |
29,043 | 6 | Title: Towards Designing a ChatGPT Conversational Companion for Elderly People
Abstract: Loneliness and social isolation are serious and widespread problems among older people, affecting their physical and mental health, quality of life, and longevity. In this paper, we propose a ChatGPT-based conversational companion ... | [] | Train |
29,044 | 30 | Title: Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning
Abstract: Pretrained model-based evaluation metrics have demonstrated strong performance with high correlations with human judgments in various natural language generation tasks such as image captioning. Despite the impressive result... | [] | Validation |
29,045 | 30 | Title: PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information
Abstract: The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities in low-context situations and noisy scenarios like the presence of spelling mistakes and typos for multi... | [
36903
] | Train |
29,046 | 10 | Title: AI for Science: An Emerging Agenda
Abstract: This report documents the programme and the outcomes of Dagstuhl Seminar 22382"Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling". Today's scientific challenges are characterised by complexity. Interconnected natural, technological, and huma... | [] | Train |
29,047 | 24 | Title: Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
Abstract: Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies the inputs to cause the model to make incorrect predictions. Adversarial attacks can have serious consequences, partic... | [] | Validation |
29,048 | 16 | Title: ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
Abstract: Building benchmarks to systemically analyze different capabilities of video question answering (VideoQA) models is challenging yet crucial. Existing benchmarks often use non-compositional simple questions and... | [] | Train |
29,049 | 16 | Title: PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
Abstract: Recently, transformer-based methods have gained significant success in sequential 2D-to-3D lifting human pose estimation. As a pioneering work, PoseFormer captures spatial relations of human joints in each video ... | [
8554,
8718,
32856,
45082,
24126
] | Train |
29,050 | 16 | Title: Deepfake detection of occluded images using a patch-based approach
Abstract: nan | [] | Train |
29,051 | 16 | Title: HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer
Abstract: Accurately modeling affect dynamics, which refers to the changes and fluctuations in emotions and affective displays during human conversations, is crucial for understanding human interactions. By analy... | [
4934
] | Train |
29,052 | 6 | Title: Collaboration with Conversational AI Assistants for UX Evaluation: Questions and How to Ask them (Voice vs. Text)
Abstract: AI is promising in assisting UX evaluators with analyzing usability tests, but its judgments are typically presented as non-interactive visualizations. Evaluators may have questions about t... | [] | Train |
29,053 | 30 | Title: FlairNLP at SemEval-2023 Task 6b: Extraction of Legal Named Entities from Legal Texts using Contextual String Embeddings
Abstract: Indian court legal texts and processes are essential towards the integrity of the judicial system and towards maintaining the social and political order of the nation. Due to the inc... | [] | Train |
29,054 | 16 | Title: Sparse Dense Fusion for 3D Object Detection
Abstract: With the prevalence of multimodal learning, camera-LiDAR fusion has gained popularity in 3D object detection. Although multiple fusion approaches have been proposed, they can be classified into either sparse-only or dense-only fashion based on the feature rep... | [
15120,
45267,
2756,
13847
] | Validation |
29,055 | 28 | Title: Energy Consumption Minimization in Secure Multi-antenna UAV-assisted MEC Networks with Channel Uncertainty
Abstract: This paper investigates the robust and secure task transmission and computation scheme in multi-antenna unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks, where the UAV i... | [
1603
] | Train |
29,056 | 16 | Title: FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
Abstract: Recent works on generalizable NeRFs have shown promising results on novel view synthesis from single or few images. However, such models have rarely been applied on other downstream tasks beyond synthesis such as semantic underst... | [
16074
] | Train |
29,057 | 16 | Title: Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification
Abstract: Deep learning models for image classification are typically trained under the "closed-world" assumption with a predefined set of image classes. However, when the models are deployed they may be faced with input ... | [] | Train |
29,058 | 30 | Title: Self-supervised representations in speech-based depression detection
Abstract: This paper proposes handling training data sparsity in speech-based automatic depression detection (SDD) using foundation models pre-trained with self-supervised learning (SSL). An analysis of SSL representations derived from differen... | [] | Train |
29,059 | 6 | Title: The Barriers to Online Clothing Websites for Visually Impaired People: An Interview and Observation Approach to Understanding Needs
Abstract: Visually impaired (VI) people often face challenges when performing everyday tasks and identify shopping for clothes as one of the most challenging. Many engage in online ... | [] | Validation |
29,060 | 16 | Title: Sparse 3D Reconstruction via Object-Centric Ray Sampling
Abstract: We propose a novel method for 3D object reconstruction from a sparse set of views captured from a 360-degree calibrated camera rig. We represent the object surface through a hybrid model that uses both an MLP-based neural representation and a tri... | [] | Train |
29,061 | 24 | Title: Measuring and Mitigating Local Instability in Deep Neural Networks
Abstract: Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficult to ensure reliable performance as irrelevant details ... | [
31569
] | Train |
29,062 | 6 | Title: Use of immersive virtual reality-based experiments to study tactical decision-making during emergency evacuation
Abstract: Humans make their evacuation decisions first at strategic/tactical levels, deciding their exit and route choice and then at operational level, navigating to a way-point, avoiding collisions.... | [] | Test |
29,063 | 15 | Title: C3S Micro-architectural Enhancement: Spike Encoder Block and Relaxing Gamma Clock (Asynchronous)
Abstract: The field of neuromorphic computing is rapidly evolving. As both biological accuracy and practical implementations are explored, existing architectures are modified and improved for both purposes. The Tempo... | [] | Test |
29,064 | 24 | Title: Can Fair Federated Learning Reduce the need for Personalisation?
Abstract: Federated Learning (FL) enables training ML models on edge clients without sharing data. However, the federated model's performance on local data varies, disincentivising the participation of clients who benefit little from FL. Fair FL re... | [] | Train |
29,065 | 24 | Title: Ada-QPacknet - adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Abstract: Continual Learning (CL) is a process in which there is still huge gap between human and deep learning model efficiency. Recently, many CL algorithms were designed. Most of them have man... | [
45354,
15507
] | Train |
29,066 | 17 | Title: Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
Abstract: We present a neural network-based simulation super-resolution framework that can efficiently and realistically enhance a facial performance produced by a low-cost, realtime physics-based simulation to a level of detail that closely a... | [] | Validation |
29,067 | 36 | Title: Election Manipulation in Social Networks with Single-Peaked Agents
Abstract: Several elections run in the last years have been characterized by attempts to manipulate the result of the election through the diffusion of fake or malicious news over social networks. This problem has been recognized as a critical is... | [] | Train |
29,068 | 24 | Title: AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
Abstract: In the insurance industry detecting fraudulent claims is a critical task with a significant financial impact. A common strategy to identify fraudulent claims is looking for inconsistencies in the supporting evidence. Howe... | [] | Train |
29,069 | 17 | Title: Position-Based Nonlinear Gauss-Seidel for Quasistatic Hyperelasticity
Abstract: Position based dynamics is a powerful technique for simulating a variety of materials. Its primary strength is its robustness when run with limited computational budget. We develop a novel approach to address problems with PBD for qu... | [] | Test |
29,070 | 24 | Title: Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
Abstract: While reinforcement learning (RL) has achieved great success in acquiring complex skills solely from environmental interactions, it assumes that resets to the initial state are readily available at the end of... | [
39966
] | Test |
29,071 | 8 | Title: Demand-Aware Network Design with Steiner Nodes and a Connection to Virtual Network Embedding
Abstract: Emerging optical and virtualization technologies enable the design of more flexible and demand-aware networked systems, in which resources can be optimized toward the actual workload they serve. For example, in... | [] | Train |
29,072 | 30 | Title: Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech
Abstract: Recent studies have alarmed that many online hate speeches are implicit. With its subtle nature, the explainability of the detection of such hateful speech has been a challenging problem. In... | [
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37931,
3250,
13239,
9403,
26305,
7884,
6094,
21455,
3280,
23252,
20822,
35545,
39642,
11497,
4465,
26357,
19574,
23672,
43641,
21375
] | Train |
29,073 | 7 | Title: Bidirectional Learning for Offline Model-based Biological Sequence Design
Abstract: Offline model-based optimization aims to maximize a black-box objective function with a static dataset of designs and their scores. In this paper, we focus on biological sequence design to maximize some sequence score. A recent a... | [
105,
19919,
19343
] | Test |
29,074 | 10 | Title: Optimal Observation-Intervention Trade-Off in Optimisation Problems with Causal Structure
Abstract: We consider the problem of optimising an expensive-to-evaluate grey-box objective function, within a finite budget, where known side-information exists in the form of the causal structure between the design variab... | [] | Validation |
29,075 | 28 | Title: Probabilistic Group Testing in Distributed Computing with Attacked Workers
Abstract: The problem of distributed matrix-vector product is considered, where the server distributes the task of the computation among n worker nodes, out of which L are compromised (but non-colluding) and may return incorrect results. ... | [] | Train |
29,076 | 30 | Title: Adapting Language Models to Compress Contexts
Abstract: Transformer-based language models (LMs) are powerful and widely-applicable tools, but their usefulness is constrained by a finite context window and the expensive computational cost of processing long text documents. We propose to adapt pre-trained LMs into... | [
44482,
1809,
27669,
5077,
1496,
5817,
28606
] | Train |
29,077 | 23 | Title: nivel2: A web-based multi-level modelling environment built on a relational database
Abstract: We introduce the nivel2 software for multi-level modelling. Multi-level modelling is a modelling paradigm where a model element may be simultaneously a type for and an instance of other elements under some constraints.... | [] | Train |
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