node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
34,378 | 27 | Title: On Onboard LiDAR-based Flying Object Detection
Abstract: A new robust and accurate approach for the detection and localization of flying objects with the purpose of highly dynamic aerial interception and agile multi-robot interaction is presented in this paper. The approach is proposed for use onboard an autonom... | [
33376,
29201,
45306,
27877
] | Test |
34,379 | 27 | Title: RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure
Abstract: Mobile robots navigating in outdoor environments frequently encounter the issue of undesired traces left by dynamic objects and manifested as obstacles on map, impeding robots from achieving acc... | [] | Train |
34,380 | 16 | Title: A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Abstract: Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive survey of deep learning in sports p... | [
16480,
11273,
36811,
38060,
45039,
29239,
8824
] | Train |
34,381 | 16 | Title: InDL: A New Datasets and Benchmark for In-Diagram Logic Interpreting based on Visual Illusion
Abstract: This paper introduces a novel approach to evaluating deep learning models' capacity for in-diagram logic interpretation. Leveraging the intriguing realm of visual illusions, we establish a unique dataset, InDL... | [] | Test |
34,382 | 24 | Title: Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape
Abstract: Stochastic Gradient Descent (SGD) is an out-of-equilibrium algorithm used extensively to train artificial neural networks. However very little is known on to what extent SGD is ... | [] | Train |
34,383 | 8 | Title: SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration
Abstract: Increased capabilities, such as recognition and self-adaptability, are now required from Internet-of-Things (IoT) applications. While IoT node power consumption is a major concern for these applications, cloud-based pr... | [
5440
] | Validation |
34,384 | 16 | Title: Video OWL-ViT: Temporally-consistent open-world localization in video
Abstract: We present an architecture and a training recipe that adapts pre-trained open-world image models to localization in videos. Understanding the open visual world (without being constrained by fixed label spaces) is crucial for many rea... | [
9419
] | Test |
34,385 | 30 | Title: Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
Abstract: The mission of open knowledge graph (KG) completion is to draw new findings from known facts. Existing works that augment KG completion require either (1) factual triples to enlarge the graph reasoning space or (2) manually ... | [
19159
] | Train |
34,386 | 17 | Title: Generator Matrices by Solving Integer Linear Programs
Abstract: In quasi-Monte Carlo methods, generating high-dimensional low discrepancy sequences by generator matrices is a popular and efficient approach. Historically, constructing or finding such generator matrices has been a hard problem. In particular, it i... | [] | Test |
34,387 | 16 | Title: Explicit Visual Prompting for Universal Foreground Segmentations
Abstract: Foreground segmentation is a fundamental problem in computer vision, which includes salient object detection, forgery detection, defocus blur detection, shadow detection, and camouflage object detection. Previous works have typically reli... | [
30825
] | Train |
34,388 | 31 | Title: Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022
Abstract: This paper describes our participation in the 2022 TREC NeuCLIR challenge. We submitted runs to two out of the three languages (Farsi and Russian), with a focus on first-stage rankers and comparing mono-lingual strategies to Adhoc ones. For monolingual run... | [
41512,
19486
] | Train |
34,389 | 24 | Title: A Comparative Analysis of Multiple Methods for Predicting a Specific Type of Crime in the City of Chicago
Abstract: Researchers regard crime as a social phenomenon that is influenced by several physical, social, and economic factors. Different types of crimes are said to have different motivations. Theft, for in... | [] | Train |
34,390 | 30 | Title: On the Computational Power of Decoder-Only Transformer Language Models
Abstract: This article presents a theoretical evaluation of the computational universality of decoder-only transformer models. We extend the theoretical literature on transformer models and show that decoder-only transformer architectures (ev... | [
4027,
33220,
20951
] | Test |
34,391 | 28 | Title: Improved Random-Binning Exponent for Distributed Hypothesis Testing
Abstract: Shimokawa, Han, and Amari proposed a"quantization and binning"scheme for distributed binary hypothesis testing. We propose a simple improvement on the receiver's guessing rule in this scheme. This attains a better exponent of the error... | [] | Train |
34,392 | 16 | Title: SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation
Abstract: We present a cascaded diffusion model based on a part-level implicit 3D representation. Our model achieves state-of-the-art generation quality and also enables part-level shape editing and manipulation without any additional tr... | [
40671
] | Train |
34,393 | 13 | Title: Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches
Abstract: In many applications of evolutionary algorithms the computational cost of applying operators and storing populations is comparable to the cost of fitness evaluation. Furthermore, by kn... | [] | Validation |
34,394 | 24 | Title: Temporal Data Meets LLM - Explainable Financial Time Series Forecasting
Abstract: This paper presents a novel study on harnessing Large Language Models' (LLMs) outstanding knowledge and reasoning abilities for explainable financial time series forecasting. The application of machine learning models to financial ... | [
40192,
13345,
13700,
24308,
5078,
15129,
45242
] | Train |
34,395 | 24 | Title: Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Abstract: Multi-task Imitation Learning (MIL) aims to train a policy capable of performing a distribution of tasks based on multi-task expert demonstrations, which is essential for general-purpose robots. Existing MIL algorithms suffer from low d... | [
30498,
11947
] | Test |
34,396 | 30 | Title: BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification
Abstract: Automatic fact verification has become an increasingly popular topic in recent years and among datasets the Fact Extraction and VERification (FEVER) dataset is one of the most popular. In this work we present BEVERS, a ... | [
292
] | Train |
34,397 | 16 | Title: Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
Abstract: Whilst the availability of 3D LiDAR point cloud data has significantly grown in recent years, annotation remains expensive and time-consuming, leading to a demand for semi-supervised semantic segmentation methods ... | [
41730,
4443
] | Train |
34,398 | 27 | Title: CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
Abstract: We present CAJun, a novel hierarchical learning and control framework that enables legged robots to jump continuously with adaptive jumping distances. CAJun consists of a high-level centroidal policy and a low-level leg controller... | [
43792,
27812,
43061,
28567
] | Validation |
34,399 | 16 | Title: ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-Based Consistency
Abstract: We present ShapeClipper, a novel method that reconstructs 3D object shapes from real-world single-view RGB images. Instead of relying on laborious 3D, multi-view or camera pose annotation, ShapeCli... | [
19893
] | Validation |
34,400 | 24 | Title: Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision
Abstract: Training a classifier exploiting a huge amount of supervised data is expensive or even prohibited in a situation, where the labeling cost is high. The remarkable progress in working with weaker forms of supervision... | [] | Test |
34,401 | 28 | Title: A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling
Abstract: In this work, we propose a versatile feedback scheme which can be deployed for both single- and multi-user multiple-input multiple-output (MIMO) frequency division duplex (FDD) systems. Particularly, we propose to use a ... | [
3224
] | Train |
34,402 | 16 | Title: Five A+ Network: You Only Need 9K Parameters for Underwater Image Enhancement
Abstract: A lightweight underwater image enhancement network is of great significance for resource-constrained platforms, but balancing model size, computational efficiency, and enhancement performance has proven difficult for previous... | [
11842,
29678,
32967
] | Test |
34,403 | 24 | Title: COVID-19 Detection from Mass Spectra of Exhaled Breath
Abstract: According to the World Health Organization, the SARS-CoV-2 virus generated a global emergency between 2020 and 2023 resulting in about 7 million deaths out of more than 750 million individuals diagnosed with COVID-19. During these years, polymerase... | [] | Train |
34,404 | 34 | Title: Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension
Abstract: Large language models (LLMs) have shown their power in different areas. Attention computation, as an important subroutine of LLMs, has also attracted interests in theory. Recently the static comput... | [
39573,
12825,
32416,
11809,
26657,
29089,
12966,
29739,
13100,
4909,
29867,
20911,
34221,
16949,
24635,
33220,
17354,
7506,
18392,
7643,
24299,
42092,
40301,
8436,
11128
] | Train |
34,405 | 27 | Title: Experimental System Identification and Disturbance Observer-based Control for a Monolithic $Z{\theta}_{x}{\theta}_{y}$ Precision Positioning System
Abstract: A compliant parallel micromanipulator is a mechanism in which the moving platform is connected to the base through a number of flexural components. Utilizi... | [] | Test |
34,406 | 16 | Title: Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
Abstract: The core of out-of-distribution (OOD) detection is to learn the in-distribution (ID) representation, which is distinguishable from OOD samples. Previous work applied recognition-based methods to learn the ID features,... | [
4303
] | Train |
34,407 | 6 | Title: The Human-Centric Metaverse: A Survey
Abstract: In the era of the Web of Things, the Metaverse is expected to be the landing site for the next generation of the Internet, resulting in the increased popularity of related technologies and applications in recent years and gradually becoming the focus of Internet re... | [
20031
] | Test |
34,408 | 30 | Title: A Formal Perspective on Byte-Pair Encoding
Abstract: Byte-Pair Encoding (BPE) is a popular algorithm used for tokenizing data in NLP, despite being devised initially as a compression method. BPE appears to be a greedy algorithm at face value, but the underlying optimization problem that BPE seeks to solve has no... | [
8858
] | Train |
34,409 | 6 | Title: AI and Education: An Investigation into the Use of ChatGPT for Systems Thinking
Abstract: This exploratory study investigates the potential of the artificial intelligence tool, ChatGPT, to support systems thinking (ST) in various subjects. Using both general and subject specific prompts, the study assesses the a... | [] | Validation |
34,410 | 16 | Title: Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection
Abstract: Detecting the salient objects in a remote sensing image has wide applications for the interdisciplinary research. Many existing deep learning methods have been proposed for Salient Object Detection (SOD) in remote sensi... | [] | Validation |
34,411 | 16 | Title: FFT-based Dynamic Token Mixer for Vision
Abstract: Multi-head-self-attention (MHSA)-equipped models have achieved notable performance in computer vision. Their computational complexity is proportional to quadratic numbers of pixels in input feature maps, resulting in slow processing, especially when dealing with... | [] | Train |
34,412 | 30 | Title: Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach
Abstract: Constituency parsing plays a fundamental role in advancing natural language processing (NLP) tasks. However, training an automatic syntactic analysis system for ancient languages solely relying on annotated parse data i... | [] | Train |
34,413 | 24 | Title: Representation Learning Dynamics of Self-Supervised Models
Abstract: Self-Supervised Learning (SSL) is an important paradigm for learning representations from unlabelled data, and SSL with neural networks has been highly successful in practice. However current theoretical analysis of SSL is mostly restricted to ... | [
17352,
44266
] | Train |
34,414 | 6 | Title: Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older Adults
Abstract: While voice user interfaces offer increased accessibility due to hands-free and eyes-free interactions, older adults often have challenges such as constructing ... | [] | Train |
34,415 | 16 | Title: Lightweight Improved Residual Network for Efficient Inverse Tone Mapping
Abstract: The display devices like HDR10 televisions are increasingly prevalent in our daily life for visualizing high dynamic range (HDR) images. But the majority of media images on the internet remain in 8-bit standard dynamic range (SDR)... | [] | Validation |
34,416 | 25 | Title: ACE-VC: Adaptive and Controllable Voice Conversion using Explicitly Disentangled Self-supervised Speech Representations
Abstract: In this work, we propose a zero-shot voice conversion method using speech representations trained with self-supervised learning. First, we develop a multi-task model to decompose a sp... | [] | Validation |
34,417 | 27 | Title: An Avatar Robot Overlaid with the 3D Human Model of a Remote Operator
Abstract: Although telepresence assistive robots have made significant progress, they still lack the sense of realism and physical presence of the remote operator. This results in a lack of trust and adoption of such robots. In this paper, we ... | [
32539
] | Train |
34,418 | 3 | Title: Artificial Intelligence for Real Sustainability? -- What is Artificial Intelligence and Can it Help with the Sustainability Transformation?
Abstract: The discussion about the disruptive possibilities of a technology called artificial intelligence (AI) is on everyone's lips. Companies and countries alike are runn... | [
12804
] | Train |
34,419 | 6 | Title: Supporting Piggybacked Co-Located Leisure Activities via Augmented Reality
Abstract: Technology, especially the smartphone, is villainized for taking meaning and time away from in-person interactions and secluding people into “digital bubbles”. We believe this is not an intrinsic property of digital gadgets, but... | [] | Train |
34,420 | 24 | Title: Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
Abstract: Smart buildings are increasingly using Internet of Things (IoT)-based wireless sensing systems to reduce their energy consumption and ... | [
35406
] | Train |
34,421 | 16 | Title: Presentation Attack Detection with Advanced CNN Models for Noncontact-based Fingerprint Systems
Abstract: Touch-based fingerprint biometrics is one of the most popular biometric modalities with applications in several fields. Problems associated with touch-based techniques such as the presence of latent fingerpr... | [
3384,
1549
] | Train |
34,422 | 24 | Title: Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor Data
Abstract: The embedded sensors in widely used smartphones and other wearable devices make the data of human activities more accessible. However, recognizing different human activities from the wearable sensor data remains a... | [
5737
] | Validation |
34,423 | 30 | Title: PIVOINE: Instruction Tuning for Open-world Information Extraction
Abstract: We consider the problem of Open-world Information Extraction (Open-world IE), which extracts comprehensive entity profiles from unstructured texts. Different from the conventional closed-world setting of Information Extraction (IE), Open... | [
40192,
13185,
45018,
13700,
40901,
30221,
9264,
31189,
23898,
44124
] | Train |
34,424 | 27 | Title: DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
Abstract: In this work, we propose algorithms and methods that enable learning dexterous object manipulation using simulated one- or two-armed robots equipped with multi-fingered hand end-effectors. Using a parallel GPU... | [] | Train |
34,425 | 16 | Title: Reinforced Disentanglement for Face Swapping without Skip Connection
Abstract: The SOTA face swap models still suffer the problem of either target identity (i.e., shape) being leaked or the target non-identity attributes (i.e., background, hair) failing to be fully preserved in the final results. We show that th... | [] | Train |
34,426 | 24 | Title: The Quantization Model of Neural Scaling
Abstract: We propose the $\textit{Quantization Model}$ of neural scaling laws, explaining both the observed power law dropoff of loss with model and data size, and also the sudden emergence of new capabilities with scale. We derive this model from what we call the $\texti... | [
38338,
10756,
27880,
38834,
28154
] | Train |
34,427 | 24 | Title: Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
Abstract: In many real-world tasks, the concerned objects can be represented as a multi-instance bag associated with a candidate label set, which consists of one ground-truth label and several false positive labels. Multi-instance partia... | [] | Test |
34,428 | 27 | Title: An MPC-based Optimal Motion Control Framework for Pendulum-driven Spherical Robots
Abstract: Motion control is essential for all autonomous mobile robots, and even more so for spherical robots. Due to the uniqueness of the spherical robot, its motion control must not only ensure accurate tracking of the target c... | [] | Train |
34,429 | 38 | Title: Handwriting Analysis on the Diaries of Rosamond Jacob
Abstract: Handwriting is an art form that most people learn at an early age. Each person's writing style is unique with small changes as we grow older and as our mood changes. Here we analyse handwritten text in a culturally significant personal diary. We com... | [] | Test |
34,430 | 28 | Title: Reduced-Complexity Cross-Domain Iterative Detection for OTFS Modulation via Delay-Doppler Decoupling
Abstract: In this paper, a reduced-complexity cross-domain iterative detection for orthogonal time frequency space (OTFS) modulation is proposed, which exploits channel properties in both time and delay-Doppler d... | [
17957
] | Train |
34,431 | 16 | Title: Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?
Abstract: One of the more significant obstacles in classification of skin cancer is the presence of artifacts. This paper investigates the effect of dark corner artifacts, which result from the use of dermoscopes, on the performance of a deep learning bin... | [] | Test |
34,432 | 27 | Title: SLAS: Speed and Lane Advisory System for Highway Navigation
Abstract: This paper proposes a hierarchical autonomous vehicle navigation architecture, composed of a high-level speed and lane advisory system (SLAS) coupled with low-level trajectory generation and trajectory following modules. Specifically, we targe... | [] | Train |
34,433 | 16 | Title: An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
Abstract: This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Worksho... | [] | Validation |
34,434 | 31 | Title: DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences
Abstract: The growing popularity of subscription services in video game consumption has emphasized the importance of offering diversified recommendations. Providing users with a diverse range of games is essentia... | [
32100
] | Train |
34,435 | 2 | Title: Algebraic, Topological, and Mereological Foundations of Existential Granules
Abstract: In this research, new concepts of existential granules that determine themselves are invented, and are characterized from algebraic, topological, and mereological perspectives. Existential granules are those that determine the... | [
38921
] | Train |
34,436 | 24 | Title: Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems
Abstract: As artificial intelligence plays an increasingly substantial role in decisions affecting humans and society, the accountability of automated decision systems has been receiving increasing attention from researcher... | [] | Train |
34,437 | 28 | Title: Fast Decoding of Lifted Interleaved Linearized Reed-Solomon Codes for Multishot Network Coding
Abstract: Mart{\'\i}nez-Pe{\~n}as and Kschischang (IEEE Trans.\ Inf.\ Theory, 2019) proposed lifted linearized Reed--Solomon codes as suitable codes for error control in multishot network coding. We show how to constru... | [
25508
] | Train |
34,438 | 30 | Title: Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases
Abstract: Due to the recent improvements and wide availability of Large Language Models (LLMs), they have posed a serious threat to academic integrity in education. Modern LLM-generated text detectors attempt to combat the... | [
497,
7796,
13678,
25367
] | Train |
34,439 | 27 | Title: Language-Conditioned Observation Models for Visual Object Search
Abstract: Object search is a challenging task because when given complex language descriptions (e.g.,"find the white cup on the table"), the robot must move its camera through the environment and recognize the described object. Previous works map l... | [] | Test |
34,440 | 24 | Title: A Closer Look at In-Context Learning under Distribution Shifts
Abstract: In-context learning, a capability that enables a model to learn from input examples on the fly without necessitating weight updates, is a defining characteristic of large language models. In this work, we follow the setting proposed in (Gar... | [
10945,
3795,
2518
] | Train |
34,441 | 24 | Title: A Game-theoretic Framework for Federated Learning
Abstract: In federated learning, benign participants aim to optimize a global model collaboratively. However, the risk of \textit{privacy leakage} cannot be ignored in the presence of \textit{semi-honest} adversaries. Existing research has focused either on desig... | [
12947
] | Test |
34,442 | 31 | Title: Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems
Abstract: This project investigated new approaches and technologies to enhance the accessibility of mathematical content and its semantic information for a broad range ... | [] | Train |
34,443 | 16 | Title: Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Abstract: Convolutional Neural Networks (CNNs) have a large number of parameters and take significantly large hardware resources to compute, so edge devices struggle to run high-level networks. This paper proposes a novel method to reduce the ... | [] | Train |
34,444 | 24 | Title: Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Abstract: With the ever-increasing number of pretrained models, machine learning practitioners are continuously faced with which pretrained model to use, and how to finetune it for a new dataset. In this paper, we propose a methodology that ... | [
34849,
694,
42263
] | Test |
34,445 | 16 | Title: Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae
Abstract: This paper investigates the challenge of learning image manifolds, specifically pose manifolds, of 3D objects using limited training data. It proposes a DNN approach to manifold learning and for predicting images of objects for ... | [] | Test |
34,446 | 24 | Title: Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
Abstract: Gradient inversion attacks are an ubiquitous threat in federated learning as they exploit gradient leakage to reconstruct supposedly private training data. Recent work has proposed to prevent gradient leakage without loss ... | [
37486,
15495
] | Train |
34,447 | 24 | Title: Improve in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging
Abstract: This study develops a methodology by capturing both the battery aging state and degradation rate for improved life prediction performance. The aging state is indicated ... | [] | Test |
34,448 | 16 | Title: DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
Abstract: We present DiffuScene for indoor 3D scene synthesis based on a novel scene graph denoising diffusion probabilistic model, which generates 3D instance properties stored in a fully-connected scene graph ... | [
21997,
34000,
33425,
7231,
29439
] | Train |
34,449 | 24 | Title: Explainable AI for Time Series via Virtual Inspection Layers
Abstract: The field of eXplainable Artificial Intelligence (XAI) has greatly advanced in recent years, but progress has mainly been made in computer vision and natural language processing. For time series, where the input is often not interpretable, on... | [
40913,
164
] | Train |
34,450 | 24 | Title: Re-embedding data to strengthen recovery guarantees of clustering
Abstract: We propose a clustering method that involves chaining four known techniques into a pipeline yielding an algorithm with stronger recovery guarantees than any of the four components separately. Given $n$ points in $\mathbb R^d$, the first ... | [] | Train |
34,451 | 10 | Title: MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning
Abstract: Reasoning in mathematical domains remains a significant challenge for relatively small language models (LMs). Many current methods focus on specializing LMs in mathematical reasoning and rely heavily on knowledge distill... | [
6353,
13700,
12741,
33207
] | Validation |
34,452 | 24 | Title: HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
Abstract: Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare. Since deploying and evaluating policies online are high-s... | [
38919,
28811,
27244,
7543
] | Validation |
34,453 | 3 | Title: Human Culture: A History Irrelevant and Predictable Experience
Abstract: Human culture research has witnessed an opportunity of revolution thanks to the big data and social network revolution. Websites such as Douban.com, Goodreads.com, Pandora and IMDB become the new gold mine for cultural researchers. In 2021 ... | [
14763
] | Train |
34,454 | 34 | Title: Tight algorithms for connectivity problems parameterized by clique-width
Abstract: The complexity of problems involving global constraints is usually much more difficult to understand than the complexity of problems only involving local constraints. A natural form of global constraints are connectivity constrain... | [
10153,
44242,
9230,
34601
] | Validation |
34,455 | 27 | Title: Robust human position estimation in cooperative robotic cells
Abstract: nan | [
46107,
12635
] | Train |
34,456 | 37 | Title: Towards Multifaceted Human-Centered AI
Abstract: Human-centered AI workflows involve stakeholders with multiple roles interacting with each other and automated agents to accomplish diverse tasks. In this paper, we call for a holistic view when designing support mechanisms, such as interaction paradigms, interfac... | [
25375
] | Validation |
34,457 | 30 | Title: LARG, Language-based Automatic Reward and Goal Generation
Abstract: Goal-conditioned and Multi-Task Reinforcement Learning (GCRL and MTRL) address numerous problems related to robot learning, including locomotion, navigation, and manipulation scenarios. Recent works focusing on language-defined robotic manipulat... | [
17153
] | Validation |
34,458 | 31 | Title: Task2KB: A Public Task-Oriented Knowledge Base
Abstract: Search engines and conversational assistants are commonly used to help users complete their every day tasks such as booking travel, cooking, etc. While there are some existing datasets that can be used for this purpose, their coverage is limited to very fe... | [] | Train |
34,459 | 36 | Title: Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
Abstract: Coordinate descent methods are popular in machine learning and optimization for their simple sparse updates and excellent practical performance. In the context of large-scale sequential game solving, these same properties would be... | [] | Validation |
34,460 | 24 | Title: Recurrent Memory Decision Transformer
Abstract: Originally developed for natural language problems, transformer models have recently been widely used in offline reinforcement learning tasks. This is because the agent's history can be represented as a sequence, and the whole task can be reduced to the sequence mo... | [
13564
] | Train |
34,461 | 16 | Title: Semi-Structured Object Sequence Encoders
Abstract: In this paper we explore the task of modeling semi-structured object sequences; in particular, we focus our attention on the problem of developing a structure-aware input representation for such sequences. Examples of such data include user activity on websites,... | [
12478
] | Train |
34,462 | 24 | Title: GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
Abstract: Pre-trained diffusion models have been successfully used as priors in a variety of linear inverse problems, where the goal is to reconstruct a signal from noisy linear measurements. Ho... | [
30151,
31943,
15663,
500,
13336
] | Validation |
34,463 | 28 | Title: Adaptive Greedy Rejection Sampling
Abstract: We consider channel simulation protocols between two communicating parties, Alice and Bob. First, Alice receives a target distribution Q, unknown to Bob. Then, she employs a shared coding distribution P to send the minimum amount of information to Bob so that he can s... | [
24064
] | Train |
34,464 | 16 | Title: Multimodal Video Adapter for Parameter Efficient Video Text Retrieval
Abstract: State-of-the-art video-text retrieval (VTR) methods usually fully fine-tune the pre-trained model (e.g. CLIP) on specific datasets, which may suffer from substantial storage costs in practical applications since a separate model per ... | [
3520,
43179,
13805,
40528
] | Validation |
34,465 | 24 | Title: Graph-level representations using ensemble-based readout functions
Abstract: Graph machine learning models have been successfully deployed in a variety of application areas. One of the most prominent types of models - Graph Neural Networks (GNNs) - provides an elegant way of extracting expressive node-level repr... | [] | Test |
34,466 | 31 | Title: TBIN: Modeling Long Textual Behavior Data for CTR Prediction
Abstract: Click-through rate (CTR) prediction plays a pivotal role in the success of recommendations. Inspired by the recent thriving of language models (LMs), a surge of works improve prediction by organizing user behavior data in a \textbf{textual} f... | [
33697,
13700,
4297,
9783,
43641
] | Test |
34,467 | 26 | Title: SynGraphy: Succinct Summarisation of Large Networks via Small Synthetic Representative Graphs
Abstract: We describe SynGraphy, a method for visually summarising the structure of large network datasets that works by drawing smaller graphs generated to have similar structural properties to the input graphs. Visual... | [] | Train |
34,468 | 10 | Title: Gender mobility in the labor market with skills-based matching models
Abstract: Skills-based matching promises mobility of workers between different sectors and occupations in the labor market. In this case, job seekers can look for jobs they do not yet have experience in, but for which they do have relevant ski... | [] | Train |
34,469 | 6 | Title: Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models
Abstract: Pre-trained language models (LLMs) such as GPT-3 can carry fluent, multi-turn conversations out-of-the-box, making them attractive materials for chatbot design. Further, d... | [] | Train |
34,470 | 30 | Title: Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints
Abstract: Neural QCFG is a grammar-based sequence-to-sequence model with strong inductive biases on hierarchical structures. It excels in interpretability and generalization but suffers from expensive inference. In this pape... | [] | Train |
34,471 | 13 | Title: Invariants for neural automata
Abstract: Computational modeling of neurodynamical systems often deploys neural networks and symbolic dynamics. One particular way for combining these approaches within a framework called vector symbolic architectures leads to neural automata. Specifically, neural automata result f... | [] | Train |
34,472 | 24 | Title: Neural Network Pruning as Spectrum Preserving Process
Abstract: Neural networks have achieved remarkable performance in various application domains. Nevertheless, a large number of weights in pre-trained deep neural networks prohibit them from being deployed on smartphones and embedded systems. It is highly desi... | [
23588
] | Train |
34,473 | 24 | Title: Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
Abstract: The rise of machine learning (ML) systems has exacerbated their carbon footprint due to increased capabilities and model sizes. However, there is scarce knowledge on how the carbon footprint of ML models is actually m... | [
43424,
22158,
7984,
28274,
14488
] | Validation |
34,474 | 37 | Title: Change Propagation Without Joins
Abstract: We revisit the classical change propagation framework for query evaluation under updates. The standard framework takes a query plan and materializes the intermediate views, which incurs high polynomial costs in both space and time, with the join operator being the culpr... | [] | Train |
34,475 | 30 | Title: LinkTransformer: A Unified Package for Record Linkage with Transformer Language Models
Abstract: Linking information across sources is fundamental to a variety of analyses in social science, business, and government. While large language models (LLMs) offer enormous promise for improving record linkage in noisy ... | [
34236,
3084,
1469
] | Train |
34,476 | 30 | Title: Learning to Generate Equitable Text in Dialogue from Biased Training Data
Abstract: The ingrained principles of fairness in a dialogue system’s decision-making process and generated responses are crucial for user engagement, satisfaction, and task achievement. Absence of equitable and inclusive principles can hi... | [] | Train |
34,477 | 30 | Title: Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Abstract: Instruction tuning has emerged to enhance the capabilities of large language models (LLMs) in providing appropriate outputs based on input instructions. However, existing methods for collecting instruction-tuning data suffer from ... | [
13345,
13700,
25892,
10598,
13257,
25226,
10163,
40341,
16698
] | Validation |
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