node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
19,478 | 6 | Title: AI Design, Design AI, Human-Centred AI and the Theatre of the Absurd the language, life and times of a UX designer
Abstract: This article connects the concepts and phenomena of Design AI, AI in creative industries and AIs capacity for creativity. It links Design AI to UX design and UX designer discourse. Its vag... | [] | Test |
19,479 | 16 | Title: POEM: Polarization of Embeddings for Domain-Invariant Representations
Abstract: Handling out-of-distribution samples is a long-lasting challenge for deep visual models. In particular, domain generalization (DG) is one of the most relevant tasks that aims to train a model with a generalization capability on novel... | [] | Train |
19,480 | 30 | Title: Differentiable Tree Operations Promote Compositional Generalization
Abstract: In the context of structure-to-structure transformation tasks, learning sequences of discrete symbolic operations poses significant challenges due to their non-differentiability. To facilitate the learning of these symbolic sequences, ... | [] | Test |
19,481 | 27 | Title: End-to-End Stable Imitation Learning via Autonomous Neural Dynamic Policies
Abstract: State-of-the-art sensorimotor learning algorithms offer policies that can often produce unstable behaviors, damaging the robot and/or the environment. Traditional robot learning, on the contrary, relies on dynamical system-base... | [] | Validation |
19,482 | 16 | Title: Proactive Multi-Camera Collaboration For 3D Human Pose Estimation
Abstract: This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds. Traditional fixed-viewpoint multi-camera solutions for human motion capt... | [
42330,
43836
] | Train |
19,483 | 30 | Title: A Comprehensive Evaluation and Analysis Study for Chinese Spelling Check
Abstract: With the development of pre-trained models and the incorporation of phonetic and graphic information, neural models have achieved high scores in Chinese Spelling Check (CSC). However, it does not provide a comprehensive reflection... | [] | Validation |
19,484 | 16 | Title: Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
Abstract: We propose an incremental improvement to Fully Convolutional Data Description (FCDD), an adaptation of the one-class classification approach from anomaly detection to image anomaly segmentation (a.k.a. anomaly localiz... | [] | Train |
19,485 | 23 | Title: DroidBot-GPT: GPT-powered UI Automation for Android
Abstract: This paper introduces DroidBot-GPT, a tool that utilizes GPT-like large language models (LLMs) to automate the interactions with Android mobile applications. Given a natural language description of a desired task, DroidBot-GPT can automatically genera... | [
19876,
10004,
24308,
30133,
7198
] | Train |
19,486 | 31 | Title: An Experimental Study on Pretraining Transformers from Scratch for IR
Abstract: Finetuning Pretrained Language Models (PLM) for IR has been de facto the standard practice since their breakthrough effectiveness few years ago. But, is this approach well understood? In this paper, we study the impact of the pretrai... | [
4970,
39571,
34388,
12151
] | Test |
19,487 | 10 | Title: RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
Abstract: The balance of game content significantly impacts the gaming experience. Unbalanced game content diminishes engagement or increases frustration because of repetitive failure. Although game designers intend to adjust th... | [
12708
] | Test |
19,488 | 16 | Title: COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models
Abstract: Attention-based vision models, such as Vision Transformer (ViT) and its variants, have shown promising performance in various computer vision tasks. However, these emerging architectures suffer from large model siz... | [
37193,
13315,
4669
] | Test |
19,489 | 16 | Title: Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
Abstract: Representing a 3D shape with a set of primitives can aid perception of structure, improve robotic object manipulation, and enable editing, stylization, and compression of 3D shapes. Existing methods either use simple parametric primiti... | [] | Validation |
19,490 | 31 | Title: Comparative analysis of various web crawler algorithms
Abstract: This presentation focuses on the importance of web crawling and page ranking algorithms in dealing with the massive amount of data present on the World Wide Web. As the web continues to grow exponentially, efficient search and retrieval methods bec... | [] | Test |
19,491 | 24 | Title: New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions
Abstract: We develop a new technique for proving distribution testing lower bounds for properties defined by inequalities involving the bin probabilities of the distribution in question. Using this technique we obtain new lower bounds f... | [] | Train |
19,492 | 24 | Title: ExpeL: LLM Agents Are Experiential Learners
Abstract: The recent surge in research interest in applying large language models (LLMs) to decision-making tasks has flourished by leveraging the extensive world knowledge embedded in LLMs. While there is a growing demand to tailor LLMs for custom decision-making task... | [
770,
17795,
13700,
37252,
16909,
40610,
11939,
16556,
29612,
35375,
39733,
12606,
1854,
26562,
33220,
33477,
3398,
3655,
41425,
22749,
4078,
22518,
43641
] | Train |
19,493 | 2 | Title: Closure Certificates
Abstract: A barrier certificate, defined over the states of a dynamical system, is a real-valued function whose zero level set characterizes an inductively verifiable state invariant separating reachable states from unsafe ones. When combined with powerful decision procedures such as sum-of-... | [] | Train |
19,494 | 27 | Title: Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction
Abstract: Agents navigating in 3D environments require some form of memory, which should hold a compact and actionable representation of the history of observations useful for decision taking and planning. In ... | [
21310,
37382
] | Train |
19,495 | 3 | Title: Art-ificial Intelligence: The Effect of AI Disclosure on Evaluations of Creative Content
Abstract: The emergence of generative AI technologies, such as OpenAI's ChatGPT chatbot, has expanded the scope of tasks that AI tools can accomplish and enabled AI-generated creative content. In this study, we explore how d... | [
7973
] | Train |
19,496 | 24 | Title: Evolving Dictionary Representation for Few-shot Class-incremental Learning
Abstract: New objects are continuously emerging in the dynamically changing world and a real-world artificial intelligence system should be capable of continual and effectual adaptation to new emerging classes without forgetting old ones.... | [] | Test |
19,497 | 16 | Title: Multi-Modal Prototypes for Open-Set Semantic Segmentation
Abstract: In semantic segmentation, adapting a visual system to novel object categories at inference time has always been both valuable and challenging. To enable such generalization, existing methods rely on either providing several support examples as v... | [
40497,
44573,
13310
] | Train |
19,498 | 24 | Title: Formalizing Piecewise Affine Activation Functions of Neural Networks in Coq
Abstract: Verification of neural networks relies on activation functions being piecewise affine (pwa) -- enabling an encoding of the verification problem for theorem provers. In this paper, we present the first formalization of pwa activ... | [] | Validation |
19,499 | 24 | Title: Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection
Abstract: Performance issues permeate large-scale cloud service systems, which can lead to huge revenue losses. To ensure reliable performance, it's essential to accurately identify and localize these issues using servic... | [] | Train |
19,500 | 31 | Title: MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation
Abstract: The long-tailed problem is a long-standing challenge in Sequential Recommender Systems (SRS) in which the problem exists in terms of both users and items. While many existing studies address the long-tailed problem in S... | [
20162,
11404
] | Train |
19,501 | 16 | Title: GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
Abstract: Neural Architecture Search (NAS) has emerged as one of the effective methods to design the optimal neural network architecture automatically. Although neural architectures have achieved human-level performances in se... | [
40192
] | Test |
19,502 | 16 | Title: First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
Abstract: In Class-Incremental Learning (CIL) an image classification system is exposed to new classes in each learning session and must be updated incrementally. Methods approaching this problem have updated both the classifi... | [
13831,
10783
] | Validation |
19,503 | 36 | Title: Justifications for Generalizations of Approval Voting
Abstract: Approval voting is a common method of preference aggregation where voters vote by ``approving'' of a subset of candidates and the winner(s) are those who are approved of by the largest number of voters. In approval voting, the degree to which a vote... | [] | Validation |
19,504 | 24 | Title: Operator learning with PCA-Net: upper and lower complexity bounds
Abstract: PCA-Net is a recently proposed neural operator architecture which combines principal component analysis (PCA) with neural networks to approximate operators between infinite-dimensional function spaces. The present work develops approxima... | [] | Train |
19,505 | 24 | Title: Towards Verifying the Geometric Robustness of Large-scale Neural Networks
Abstract: Deep neural networks (DNNs) are known to be vulnerable to adversarial geometric transformation. This paper aims to verify the robustness of large-scale DNNs against the combination of multiple geometric transformations with a pro... | [
28580,
33748
] | Test |
19,506 | 16 | Title: Linear building pattern recognition via spatial knowledge graph
Abstract: Building patterns are important urban structures that reflect the effect of the urban material and social-economic on a region. Previous researches are mostly based on the graph isomorphism method and use rules to recognize building patter... | [] | Test |
19,507 | 16 | Title: Using Data Analytics to Derive Business Intelligence: A Case Study
Abstract: The data revolution experienced in recent times has thrown up new challenges and opportunities for businesses of all sizes in diverse industries. Big data analytics is already at the forefront of innovations to help make meaningful busi... | [] | Test |
19,508 | 25 | Title: Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation
Abstract: Voice Conversion (VC) converts the voice of a source speech to that of a target while maintaining the source's content. Speech can be mainly decomposed into four components: content, timbre, rhythm and pitch... | [] | Validation |
19,509 | 16 | Title: SITTA: A Semantic Image-Text Alignment for Image Captioning
Abstract: Textual and semantic comprehension of images is essential for generating proper captions. The comprehension requires detection of objects, modeling of relations between them, an assessment of the semantics of the scene and, finally, representi... | [
10624,
37987,
13700,
30243,
24390,
19720,
41104,
27282,
31668,
30388,
13564
] | Train |
19,510 | 16 | Title: HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness
Abstract: RGB-D saliency detection aims to fuse multi-modal cues to accurately localize salient regions. Existing works often adopt attention modules for feature modeling, with few methods explicitly leveraging fine-grained details to merge... | [
16030
] | Train |
19,511 | 27 | Title: RRT Guided Model Predictive Path Integral Method
Abstract: This work presents an optimal sampling-based method to solve the real-time motion planning problem in static and dynamic environments, exploiting the Rapid-exploring Random Trees (RRT) algorithm and the Model Predictive Path Integral (MPPI) algorithm. Th... | [
6985
] | Test |
19,512 | 30 | Title: Adapting Sentence Transformers for the Aviation Domain
Abstract: Learning effective sentence representations is crucial for many Natural Language Processing (NLP) tasks, including semantic search, semantic textual similarity (STS), and clustering. While multiple transformer models have been developed for sentenc... | [] | Validation |
19,513 | 24 | Title: You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks
Abstract: The robustness of modern machine learning (ML) models has become an increasing concern within the community. The ability to subvert a model into making errant predictions using seemingly inconsequential changes to input is startl... | [] | Test |
19,514 | 28 | Title: Joint Beamforming and Power Allocation for RIS Aided Full-Duplex Integrated Sensing and Uplink Communication System
Abstract: Integrated sensing and communication (ISAC) capability is envisioned as one key feature for future cellular networks. Classical half-duplex (HD) radar sensing is conducted in a"first-emit... | [
18801
] | Train |
19,515 | 10 | Title: Traffic Light Control with Reinforcement Learning
Abstract: Traffic light control is important for reducing congestion in urban mobility systems. This paper proposes a real-time traffic light control method using deep Q learning. Our approach incorporates a reward function considering queue lengths, delays, trav... | [] | Train |
19,516 | 6 | Title: Deciphering the Drivers of Smart Livestock Technology Adoption in Japan: A Scoping Review, Expert Interviews, and Grounded Theory Approach
Abstract: With global demand for animal products projected to increase significantly by 2050, understanding the factors that influence the adoption of smart livestock technol... | [
4022
] | Train |
19,517 | 16 | Title: Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
Abstract: Interest point detection methods have received increasing attention and are widely used in computer vision tasks such as image retrieval and 3D reconstruction. In this work, second-order anisotropic Gaussian directional... | [] | Validation |
19,518 | 38 | Title: Authorship Conflicts in Academia: an International Cross-Discipline Survey
Abstract: Collaboration among scholars has emerged as a significant characteristic of contemporary science. As a result, the number of authors listed in publications continues to rise steadily. Unfortunately, determining the authors to be... | [] | Validation |
19,519 | 16 | Title: Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Abstract: Deep ensembles achieved state-of-the-art results in classification and out-of-distribution (OOD) detection; however, their effectiveness remains limited due to the homogeneity of learned patterns ... | [] | Validation |
19,520 | 24 | Title: Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Abstract: Deep neural networks are vulnerable to backdoor attacks, where an adversary maliciously manipulates the model behavior through overlaying images with special triggers. Existing backdoor defense methods often require accessing... | [
23763
] | Train |
19,521 | 3 | Title: Social Biases through the Text-to-Image Generation Lens
Abstract: Text-to-Image (T2I) generation is enabling new applications that support creators, designers, and general end users of productivity software by generating illustrative content with high photorealism starting from a given descriptive text as a prom... | [
7850,
36383,
34068,
12951
] | Test |
19,522 | 16 | Title: Language Guided Local Infiltration for Interactive Image Retrieval
Abstract: Interactive Image Retrieval (IIR) aims to retrieve images that are generally similar to the reference image but under the requested text modification. The existing methods usually concatenate or sum the features of image and text simply... | [] | Train |
19,523 | 24 | Title: FedZero: Leveraging Renewable Excess Energy in Federated Learning
Abstract: Federated Learning (FL) is an emerging machine learning technique that enables distributed model training across data silos or edge devices without data sharing. Yet, FL inevitably introduces inefficiencies compared to centralized model ... | [
7487
] | Train |
19,524 | 24 | Title: Graph Neural Network Surrogates of Fair Graph Filtering
Abstract: Graph filters that transform prior node values to posterior scores via edge propagation often support graph mining tasks affecting humans, such as recommendation and ranking. Thus, it is important to make them fair in terms of satisfying statistic... | [] | Validation |
19,525 | 16 | Title: DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
Abstract: Image inpainting is an old problem in computer vision that restores occluded regions and completes damaged images. In the case of facial image inpainting, most of the methods generate only one result for each masked image, even though there are ... | [] | Train |
19,526 | 24 | Title: CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network
Abstract: The tremendous growth of social media users interacting in online conversations has also led to significant growth in hate speech. Most of the prior works focus on detecting explicit hate speech,... | [] | Train |
19,527 | 24 | Title: A Domain-adaptive Physics-informed Neural Network for Inverse Problems of Maxwell's Equations in Heterogeneous Media
Abstract: Maxwell's equations are a collection of coupled partial differential equations (PDEs) that, together with the Lorentz force law, constitute the basis of classical electromagnetism and el... | [
13227,
2124,
31685
] | Train |
19,528 | 5 | Title: Accelerating Communications in Federated Applications with Transparent Object Proxies
Abstract: Advances in networks, accelerators, and cloud services encourage programmers to reconsider where to compute -- such as when fast networks make it cost-effective to compute on remote accelerators despite added latency.... | [
107,
16067
] | Train |
19,529 | 6 | Title: Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
Abstract: Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, litt... | [] | Train |
19,530 | 16 | Title: ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
Abstract: Effective feature fusion of multispectral images plays a crucial role in multi-spectral object detection. Previous studies have demonstrated the effectiveness of feature fusion using convolutional neural netwo... | [] | Train |
19,531 | 24 | Title: Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Abstract: Intelligent systems deployed in the real world suffer from catastrophic forgetting when exposed to a sequence of tasks. Humans, on the other hand, acquire, consolidate, and transfer knowledge between tasks that rarely ... | [
6425,
10783
] | Train |
19,532 | 16 | Title: Objaverse-XL: A Universe of 10M+ 3D Objects
Abstract: Natural language processing and 2D vision models have attained remarkable proficiency on many tasks primarily by escalating the scale of training data. However, 3D vision tasks have not seen the same progress, in part due to the challenges of acquiring high-q... | [
13700,
33220,
13863,
3912,
42666,
1581,
19630,
11959,
14842
] | Train |
19,533 | 24 | Title: SPARLING: Learning Latent Representations with Extremely Sparse Activations
Abstract: Real-world processes often contain intermediate state that can be modeled as an extremely sparse tensor. We introduce Sparling, a new kind of informational bottleneck that explicitly models this state by enforcing extreme activ... | [] | Train |
19,534 | 8 | Title: Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
Abstract: Future generations of mobile networks are expected to contain more and more antennas with growing complexity and more parameters. Optimizing these parameters is necessary for ensuring the good performance of the network. The sc... | [] | Train |
19,535 | 22 | Title: Tau Prolog: A Prolog interpreter for the Web
Abstract: Tau Prolog is a client-side Prolog interpreter fully implemented in JavaScript, which aims at implementing the ISO Prolog Standard. Tau Prolog has been developed to be used with either Node.js or a browser seamlessly, and therefore, it has been developed fol... | [] | Train |
19,536 | 16 | Title: Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
Abstract: Fueled by deep learning, computer-aided diagnosis achieves huge advances. However, out of controlled lab environments, algorithms could face multiple challenges. Open set recognition (OSR), as an important one, states that categorie... | [] | Train |
19,537 | 34 | Title: Sorting Finite Automata via Partition Refinement
Abstract: Wheeler nondeterministic finite automata (WNFAs) were introduced as a generalization of prefix sorting from strings to labeled graphs. WNFAs admit optimal solutions to classic hard problems on labeled graphs and languages. The problem of deciding whether... | [
41900
] | Validation |
19,538 | 27 | Title: The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction
Abstract: Effective and fluent close-proximity human-robot interaction requires understanding how humans get habituated to robots and how robot motion affects human comfort. While prior work has identified ... | [] | Train |
19,539 | 37 | Title: Estimation of Average Annual Daily Bicycle Count Using Bike-Share GPS Data and Bike Counter Data for an Urban Active Transportation Network
Abstract: In 2018, the City of Kelowna entered into a license agreement with Dropbike to operate a dockless bike-share pilot in and around the downtown core. The bikes were ... | [] | Test |
19,540 | 24 | Title: Policy Gradient for s-Rectangular Robust Markov Decision Processes
Abstract: We present a novel robust policy gradient method (RPG) for s-rectangular robust Markov Decision Processes (MDPs). We are the first to derive the adversarial kernel in a closed form and demonstrate that it is a one-rank perturbation of t... | [
9634,
40813,
29926
] | Train |
19,541 | 24 | Title: Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning
Abstract: Decentralized cooperative multi-agent deep reinforcement learning (MARL) can be a versatile learning framework, particularly in scenarios where centralized training is either ... | [
28477,
17910
] | Train |
19,542 | 14 | Title: Deciding One to One property of Boolean maps: Condition and algorithm in terms of implicants
Abstract: This paper addresses the computational problem of deciding invertibility (or one to one-ness) of a Boolean map $F$ in $n$-Boolean variables. This problem has a special case of deciding invertibilty of a map $F:... | [] | Train |
19,543 | 24 | Title: Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Abstract: Indiscriminate data poisoning attacks aim to decrease a model's test accuracy by injecting a small amount of corrupted training data. Despite significant interest, existing attacks remain relatively ineffective against modern ... | [] | Train |
19,544 | 10 | Title: Ontology in Hybrid Intelligence: a concise literature review
Abstract: In a context of constant evolution and proliferation of AI technology, Hybrid Intelligence is gaining popularity to refer a balanced coexistence between human and artificial intelligence. On the other side, the concept has been extensively us... | [] | Train |
19,545 | 30 | Title: Sentiment analysis and opinion mining on educational data: A survey
Abstract: nan | [
5769,
28858,
29031
] | Train |
19,546 | 16 | Title: PL-UNeXt: Per-stage Edge Detail and Line Feature Guided Segmentation for Power Line Detection
Abstract: Power line detection is a critical inspection task for electricity companies and is also useful in avoiding drone obstacles. Accurately separating power lines from the surrounding area in the aerial image is s... | [] | Train |
19,547 | 24 | Title: Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context
Abstract: Clustering is a common task in machine learning, but clusters of unlabelled data can be hard to quantify. The application of clustering algorithms in chemistry is often dependant on material repres... | [] | Train |
19,548 | 24 | Title: Targeted Attacks on Timeseries Forecasting
Abstract: Real-world deep learning models developed for Time Series Forecasting are used in several critical applications ranging from medical devices to the security domain. Many previous works have shown how deep learning models are prone to adversarial attacks and st... | [] | Train |
19,549 | 6 | Title: Inferring Human Intentions from Predicted Action Probabilities
Abstract: Predicting the next action that a human is most likely to perform is key to human-AI collaboration and has consequently attracted increasing research interests in recent years. An important factor for next action prediction are human intent... | [
161,
10826
] | Test |
19,550 | 4 | Title: SecureTrack- A contact tracing IoT platform for monitoring infectious diseases
Abstract: The COVID-19 pandemic has highlighted the need for innovative solutions to monitor and control the spread of infectious diseases. With the potential for future pandemics and the risk of outbreaks particularly in academic ins... | [] | Train |
19,551 | 13 | Title: NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding Convolutional Neural Networks
Abstract: Side-channel analysis (SCA) is a class of attacks on the physical implementation of a cipher, which enables the extraction of confidential key information by exploiting unintended leaks generated by a device. ... | [] | Validation |
19,552 | 24 | Title: MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
Abstract: Fast and efficient transport protocols are the foundation of an increasingly distributed world. The burden of continuously delivering improved communication performance to support next-generation applications... | [
25167
] | Train |
19,553 | 24 | Title: A Mapping Study of Machine Learning Methods for Remaining Useful Life Estimation of Lead-Acid Batteries
Abstract: Energy storage solutions play an increasingly important role in modern infrastructure and lead-acid batteries are among the most commonly used in the rechargeable category. Due to normal degradation ... | [] | Train |
19,554 | 24 | Title: Manifold Contrastive Learning with Variational Lie Group Operators
Abstract: Self-supervised learning of deep neural networks has become a prevalent paradigm for learning representations that transfer to a variety of downstream tasks. Similar to proposed models of the ventral stream of biological vision, it is o... | [
31950
] | Test |
19,555 | 16 | Title: Life Regression based Patch Slimming for Vision Transformers
Abstract: Vision transformers have achieved remarkable success in computer vision tasks by using multi-head self-attention modules to capture long-range dependencies within images. However, the high inference computation cost poses a new challenge. Sev... | [
12122
] | Train |
19,556 | 24 | Title: A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction
Abstract: Western countries rely heavily on wheat, and yield prediction is crucial. Time-series deep learning models, such as Long Short Term Memory (LSTM), have already been explored and applied to yield... | [
44629
] | Validation |
19,557 | 6 | Title: Examining the Potential for Conversational Exploratory Search using a Smart Speaker Digital Assistant
Abstract: Online Digital Assistants, such as Amazon Alexa, Google Assistant, Apple Siri are very popular and provide a range or services to their users, a key function is their ability to satisfy user informatio... | [] | Test |
19,558 | 24 | Title: Multi-Objective Optimization of Electrical Machines using a Hybrid Data-and Physics-Driven Approach
Abstract: Magneto-static finite element (FE) simulations make numerical optimization of electrical machines very time-consuming and computationally intensive during the design stage. In this paper, we present the ... | [] | Test |
19,559 | 30 | Title: Large Language Model Distillation Doesn't Need a Teacher
Abstract: Knowledge distillation trains a smaller student model to match the output distribution of a larger teacher to maximize the end-task performance under computational constraints. However, existing literature on language model distillation primarily... | [
6754,
6979,
13700,
39628,
37070,
27282
] | Train |
19,560 | 16 | Title: DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification
Abstract: Deep neural networks face many problems in the field of hyperspectral image classification, lack of effective utilization of spatial spectral information, gradient disappearance and... | [] | Train |
19,561 | 4 | Title: Eye-Shield: Real-Time Protection of Mobile Device Screen Information from Shoulder Surfing
Abstract: People use mobile devices ubiquitously for computing, communication, storage, web browsing, and more. As a result, the information accessed and stored within mobile devices, such as financial and health informati... | [] | Train |
19,562 | 4 | Title: PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Abstract: Machine Learning (ML) techniques can facilitate the automation of malicious software (malware for short) detection, but suffer from evasion attacks. Many studies counter such attacks in heuristic manners, lacking theoretical ... | [] | Validation |
19,563 | 16 | Title: Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
Abstract: Due to the expensive costs of collecting labels in multi-label classification datasets, partially annotated multi-label classification has become an emerging field in computer vision. One baseline approach to ... | [] | Train |
19,564 | 24 | Title: Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data
Abstract: This work introduces Neural Chronos Ordinary Differential Equations (Neural CODE), a deep neural network architecture that fits a continuous-time ODE dynamics for predicting the chronology of a sy... | [] | Validation |
19,565 | 34 | Title: Parameterized Complexity of Equality MinCSP
Abstract: We study the parameterized complexity of MinCSP for so-called equality languages, i.e., for finite languages over an infinite domain such as $\mathbb{N}$, where the relations are defined via first-order formulas whose only predicate is $=$. This is an importa... | [] | Train |
19,566 | 24 | Title: DADAgger: Disagreement-Augmented Dataset Aggregation
Abstract: DAgger is an imitation algorithm that aggregates its original datasets by querying the expert on all samples encountered during training. In order to reduce the number of samples queried, we propose a modification to DAgger, known as DADAgger, which ... | [] | Train |
19,567 | 10 | Title: A Recursive Bateson-Inspired Model for the Generation of Semantic Formal Concepts from Spatial Sensory Data
Abstract: Neural-symbolic approaches to machine learning incorporate the advantages from both connectionist and symbolic methods. Typically, these models employ a first module based on a neural architectur... | [] | Validation |
19,568 | 31 | Title: How Does Imperfect Automatic Indexing Affect Semantic Search Performance?
Abstract: Documents in the health domain are often annotated with semantic concepts (i.e., terms) from controlled vocabularies. As the volume of these documents gets large, the annotation work is increasingly done by algorithms. Compared t... | [] | Train |
19,569 | 17 | Title: A Practical Walk-on-Boundary Method for Boundary Value Problems
Abstract: We introduce the walk-on-boundary (WoB) method for solving boundary value problems to computer graphics. WoB is a grid-free Monte Carlo solver for certain classes of second order partial differential equations. A similar Monte Carlo solver... | [
24181,
40806,
4439
] | Validation |
19,570 | 16 | Title: A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation
Abstract: Nowadays, the rapid development of photovoltaic(PV) power stations requires increasingly reliable maintenance and fault diagnosis of PV modules in th... | [] | Train |
19,571 | 24 | Title: Non-Invasive Fairness in Learning through the Lens of Data Drift
Abstract: Machine Learning (ML) models are widely employed to drive many modern data systems. While they are undeniably powerful tools, ML models often demonstrate imbalanced performance and unfair behaviors. The root of this problem often lies in ... | [] | Train |
19,572 | 24 | Title: SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
Abstract: Recent years have witnessed increasing concerns towards unfair decisions made by machine learning algorithms. To improve fairness in model decisions, various fairness notions have been proposed and many fairness-aware methods ar... | [] | Train |
19,573 | 16 | Title: StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
Abstract: We investigate the potential of learning visual representations using synthetic images generated by text-to-image models. This is a natural question in the light of the excellent performance of such models ... | [
30402,
29354,
28532,
27063,
34074
] | Validation |
19,574 | 30 | Title: Unraveling ChatGPT: A Critical Analysis of AI-Generated Goal-Oriented Dialogues and Annotations
Abstract: Large pre-trained language models have exhibited unprecedented capabilities in producing high-quality text via prompting techniques. This fact introduces new possibilities for data collection and annotation,... | [
29072,
1702
] | Test |
19,575 | 24 | Title: Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models
Abstract: Simple Summary Artificial intelligence (AI) based on deep neural networks (DNNs) has demonstrated great performance in computer vision. However, their clinical application in the diagnosis and prognosis of cancer usi... | [] | Train |
19,576 | 24 | Title: Streaming LifeLong Learning With Any-Time Inference
Abstract: Despite rapid advancements in the lifelong learning (LL) research, a large body of research mainly focuses on improving the performance in the existing static continual learning (CL) setups. These methods lack the ability to succeed in a rapidly chang... | [] | Train |
19,577 | 15 | Title: Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications
Abstract: The challenging deployment of compute-intensive applications from domains such Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing system... | [
35084,
16,
5170,
29661,
5438
] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.