node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
18,478 | 24 | Title: Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach
Abstract: We tackle the domain generalisation (DG) problem by posing it as a domain adaptation (DA) task where we adversarially synthesise the worst-case target domain and adapt a model to that worst-case domain, thereby impro... | [] | Train |
18,479 | 4 | Title: ApproxABFT: Approximate Algorithm-Based Fault Tolerance for Vision Transformers
Abstract: Vision Transformers (ViTs) with outstanding performance becomes a popular backbone of deep learning models for the main-stream vision tasks including classification, object detection, and segmentation. Other than the perfor... | [
37825
] | Validation |
18,480 | 16 | Title: Probabilistic Prompt Learning for Dense Prediction
Abstract: Recent progress in deterministic prompt learning has become a promising alternative to various downstream vision tasks, enabling models to learn powerful visual representations with the help of pre-trained vision-language models. However, this approach... | [
33854
] | Test |
18,481 | 30 | Title: Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
Abstract: While reaching for NLP systems that maximize accuracy, other important metrics of system performance are often overlooked. Prior models are easily forgotten despite their pos... | [] | Validation |
18,482 | 16 | Title: TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching
Abstract: This study tackles the challenge of image matching in difficult scenarios, such as scenes with significant variations or limited texture, with a strong emphasis on computational efficiency. Previous studies have attempted to ... | [
8405,
33222
] | Validation |
18,483 | 16 | Title: Emotional Talking Head Generation based on Memory-Sharing and Attention-Augmented Networks
Abstract: Given an audio clip and a reference face image, the goal of the talking head generation is to generate a high-fidelity talking head video. Although some audio-driven methods of generating talking head videos have... | [
8424,
20774
] | Test |
18,484 | 16 | Title: Task-Specific Context Decoupling for Object Detection
Abstract: Classification and localization are two main sub-tasks in object detection. Nonetheless, these two tasks have inconsistent preferences for feature context, i.e., localization expects more boundary-aware features to accurately regress the bounding bo... | [] | Train |
18,485 | 24 | Title: Improving Fabrication Fidelity of Integrated Nanophotonic Devices Using Deep Learning
Abstract: Next-generation integrated nanophotonic device designs leverage advanced optimization techniques such as inverse design and topology optimization which achieve high performance and extreme miniaturization by optimizin... | [] | Validation |
18,486 | 16 | Title: Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
Abstract: Category-level articulated object pose estimation aims to estimate a hierarchy of articulation-aware object poses of an unseen articulated object from a known category. To reduce the heavy annotations n... | [
25667,
34000,
33425,
8854,
15743
] | Train |
18,487 | 16 | Title: Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields
Abstract: Recently, the editing of neural radiance fields (NeRFs) has gained considerable attention, but most prior works focus on static scenes while research on the appearance editing of dynamic scenes is relatively lacking. In this paper, we pr... | [
20960,
12841,
16875,
27791,
42937
] | Train |
18,488 | 27 | Title: Fast and Scalable Signal Inference for Active Robotic Source Seeking
Abstract: In active source seeking, a robot takes repeated measurements in order to locate a signal source in a cluttered and unknown environment. A key component of an active source seeking robot planner is a model that can produce estimates o... | [
22619
] | Train |
18,489 | 30 | Title: RRAML: Reinforced Retrieval Augmented Machine Learning
Abstract: The emergence of large language models (LLMs) has revolutionized machine learning and related fields, showcasing remarkable abilities in comprehending, generating, and manipulating human language. However, their conventional usage through API-based... | [
39873,
13700,
27652,
9518,
23767
] | Train |
18,490 | 16 | Title: Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
Abstract: Video temporal grounding aims to pinpoint a video segment that matches the query description. Despite the recent advance in short-form videos (\textit{e.g.}, in minutes), temporal grounding in long videos (\textit{e.... | [
19818
] | Train |
18,491 | 23 | Title: Constraint-Guided Test Execution Scheduling: An Experience Report at ABB Robotics
Abstract: Automated test execution scheduling is crucial in modern software development environments, where components are frequently updated with changes that impact their integration with hardware systems. Building test schedules... | [] | Test |
18,492 | 24 | Title: Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Abstract: Hypernetworks, neural networks that predict the parameters of another neural network, are powerful models that have been successfully used in diverse applications from image generation to multi-task learning. Unfortunately, existing hyp... | [
34074
] | Train |
18,493 | 16 | Title: Sequential Spatial Network for Collision Avoidance in Autonomous Driving
Abstract: Several autonomous driving strategies have been applied to autonomous vehicles, especially in the collision avoidance area. The purpose of collision avoidance is achieved by adjusting the trajectory of autonomous vehicles (AV) to ... | [] | Test |
18,494 | 7 | Title: Predicting Opioid Use Outcomes in Minoritized Communities
Abstract: Machine learning algorithms can sometimes exacerbate health disparities based on ethnicity, gender, and other factors. There has been limited work at exploring potential biases within algorithms deployed on a small scale, and/or within minoritiz... | [] | Train |
18,495 | 20 | Title: Combinatorial Depth Measures for Hyperplane Arrangements
Abstract: Regression depth, introduced by Rousseeuw and Hubert in 1999, is a notion that measures how good of a regression hyperplane a given query hyperplane is with respect to a set of data points. Under projective duality, this can be interpreted as a d... | [] | Validation |
18,496 | 30 | Title: KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition
Abstract: Symptom diagnosis in medical conversations aims to correctly extract both symptom entities and their status from the doctor-patient dialogue. In this paper, we propose a novel framework called KNSE for ... | [
8530
] | Train |
18,497 | 23 | Title: Current Trends in Digital Twin Development, Maintenance, and Operation: An Interview Study
Abstract: Digital twins (DT) are often defined as a pairing of a physical entity and a corresponding virtual entity mimicking certain aspects of the former depending on the use-case. In recent years, this concept has facil... | [] | Train |
18,498 | 24 | Title: RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series
Abstract: An open-ended time series refers to a series of data points indexed in time order without an end. Such a time series can be found everywhere due to the prevalence of Internet of Things. Providing lightweight and r... | [
9124
] | Validation |
18,499 | 24 | Title: A decision framework for selecting information-transfer strategies in population-based SHM
Abstract: Decision-support for the operation and maintenance of structures provides significant motivation for the development and implementation of structural health monitoring (SHM) systems. Unfortunately, the limited av... | [] | Train |
18,500 | 10 | Title: Causality-Based Feature Importance Quantifying Methods: PN-FI, PS-FI and PNS-FI
Abstract: In the current ML field models are getting larger and more complex, and data used for model training are also getting larger in quantity and higher in dimensions. Therefore, in order to train better models, and save trainin... | [
16011
] | Test |
18,501 | 24 | Title: TAMUNA: Doubly Accelerated Federated Learning with Local Training, Compression, and Partial Participation
Abstract: In federated learning, a large number of users collaborate to learn a global model. They alternate local computations and communication with a distant server. Communication, which can be slow and c... | [] | Test |
18,502 | 13 | Title: Down-Sampled Epsilon-Lexicase Selection for Real-World Symbolic Regression Problems
Abstract: Epsilon-lexicase selection is a parent selection method in genetic programming that has been successfully applied to symbolic regression problems. Recently, the combination of random subsampling with lexicase selection ... | [
32788
] | Train |
18,503 | 24 | Title: GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations
Abstract: Counterfactual explanations are a common tool to explain artificial intelligence models. For Reinforcement Learning (RL) agents, they answer"Why not?"or"What if?"questions by illustratin... | [
21
] | Train |
18,504 | 13 | Title: Advanced Computing and Related Applications Leveraging Brain-inspired Spiking Neural Networks
Abstract: In the rapid evolution of next-generation brain-inspired artificial intelligence and increasingly sophisticated electromagnetic environment, the most bionic characteristics and anti-interference performance of... | [] | Test |
18,505 | 6 | Title: Beyond English: Centering Multilingualism in Data Visualization
Abstract: Information visualization and natural language are intricately linked. However, the majority of research and relevant work in information and data visualization (and human-computer interaction) involve English-speaking populations as both ... | [
19051,
16787,
22110
] | Train |
18,506 | 24 | Title: Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
Abstract: Symbolic regression (SR) is the problem of learning a symbolic expression from numerical data. Recently, deep neural models trained on procedurally-generated synthetic datasets showed competitive performance compared to more classical Gen... | [] | Train |
18,507 | 16 | Title: Towards Open-World Segmentation of Parts
Abstract: Segmenting object parts such as cup handles and animal bodies is important in many real-world applications but requires more annotation effort. The largest dataset nowadays contains merely two hundred object categories, implying the difficulty to scale up part s... | [] | Test |
18,508 | 16 | Title: Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF
Abstract: The explicit neural radiance field (NeRF) has gained considerable interest for its efficient training and fast inference capabilities, making it a promising direction such as virtual reality and gaming. In particular, PlenOctree (POT)... | [
9599
] | Train |
18,509 | 16 | Title: ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset
Abstract: Online clothing shopping has become increasingly popular, but the high rate of returns due to size and fit issues has remained a major challenge. To address this problem, virtual try-on systems have been developed ... | [] | Train |
18,510 | 2 | Title: Description Logics Go Second-Order - Extending EL with Universally Quantified Concepts
Abstract: The study of Description Logics have been historically mostly focused on features that can be translated to decidable fragments of first-order logic. In this paper, we leave this restriction behind and look for usefu... | [] | Test |
18,511 | 26 | Title: Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Abstract: Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophily-prone or heterophily-prone. While graphs with homophily-prone edges tend to con... | [
32869,
14893,
39412,
44122,
10139
] | Train |
18,512 | 24 | Title: Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems
Abstract: We consider a general optimization problem of minimizing a composite objective functional defined over a class of probability distributions. The objective is composed of two functional... | [] | Train |
18,513 | 24 | Title: When Does Confidence-Based Cascade Deferral Suffice?
Abstract: Cascades are a classical strategy to enable inference cost to vary adaptively across samples, wherein a sequence of classifiers are invoked in turn. A deferral rule determines whether to invoke the next classifier in the sequence, or to terminate pre... | [] | Train |
18,514 | 16 | Title: Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
Abstract: In this paper, we present Motion-X, a large-scale 3D expressive whole-body motion dataset. Existing motion datasets predominantly contain body-only poses, lacking facial expressions, hand gestures, and fine-grained pose descriptions.... | [
33218,
37062,
12489,
30731,
17178,
32538
] | Train |
18,515 | 6 | Title: Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook
Abstract: Deployed artificial intelligence (AI) often impacts humans, and there is no one-size-fits-all metric to evaluate these tools. Human-centered evaluation of AI-based systems combines quantitative and qualitative analysis ... | [
44232,
38211,
28151
] | Train |
18,516 | 24 | Title: Softmax Bias Correction for Quantized Generative Models
Abstract: Post-training quantization (PTQ) is the go-to compression technique for large generative models, such as stable diffusion or large language models. PTQ methods commonly keep the softmax activation in higher precision as it has been shown to be ver... | [
16866,
19948,
40785,
17429,
40862
] | Train |
18,517 | 16 | Title: Feature Learning in Image Hierarchies using Functional Maximal Correlation
Abstract: This paper proposes the Hierarchical Functional Maximal Correlation Algorithm (HFMCA), a hierarchical methodology that characterizes dependencies across two hierarchical levels in multiview systems. By framing view similarities ... | [
1947,
1423
] | Train |
18,518 | 27 | Title: Plant-inspired behavior-based controller to enable reaching in redundant continuum robot arms
Abstract: Enabling reaching capabilities in highly redundant continuum robot arms is an active area of research. Existing solutions comprise of task-space controllers, whose proper functioning is still limited to labora... | [] | Train |
18,519 | 23 | Title: On the Impact of Language Selection for Training and Evaluating Programming Language Models
Abstract: The recent advancements in Transformer-based Language Models have demonstrated significant potential in enhancing the multilingual capabilities of these models. The remarkable progress made in this domain not on... | [
10976,
32450,
17191,
31018,
14869
] | Validation |
18,520 | 23 | Title: VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for vulnerability Detection
Abstract: In this paper, we build a model named VuLASTE, which regards vulnerability detection as a special text classification task. To solve the vocabulary explosion problem, VuLASTE uses a byte level BPE algorithm fro... | [] | Test |
18,521 | 24 | Title: Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix
Abstract: To improve the robustness of graph neural networks (GNN), graph structure learning (GSL) has attracted great interest due to the pervasiveness of noise in graph data. Many approaches have been proposed for GSL to jointl... | [] | Train |
18,522 | 24 | Title: A Systematic Study on Quantifying Bias in GAN-Augmented Data
Abstract: Generative adversarial networks (GANs) have recently become a popular data augmentation technique used by machine learning practitioners. However, they have been shown to suffer from the so-called mode collapse failure mode, which makes them ... | [] | Train |
18,523 | 30 | Title: The Exploration of Knowledge-Preserving Prompts for Document Summarisation
Abstract: Despite the great development of document summarisation techniques nowadays, factual inconsistencies between the generated summaries and the original texts still occur from time to time. This study explores the possibility of ad... | [] | Train |
18,524 | 24 | Title: Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts
Abstract: Objective: COVID-19 has spread worldwide and made a huge influence across the world. Modeling the infectious spread situation of COVID-19 is essential to understand the current condition and to formulate interventi... | [] | Train |
18,525 | 16 | Title: NaturalFinger: Generating Natural Fingerprint with Generative Adversarial Networks
Abstract: Deep neural network (DNN) models have become a critical asset of the model owner as training them requires a large amount of resource (i.e. labeled data). Therefore, many fingerprinting schemes have been proposed to safe... | [] | Train |
18,526 | 16 | Title: Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts
Abstract: Image coding for machines (ICM) aims to compress images to support downstream AI analysis instead of human perception. For ICM, developing a unified codec to reduce information redundancy while empowering the com... | [] | Validation |
18,527 | 9 | Title: Optimal Information Encoding in Chemical Reaction Networks
Abstract: Discrete chemical reaction networks formalize the interactions of molecular species in a well-mixed solution as stochastic events. Given their basic mathematical and physical role, the computational power of chemical reaction networks has been ... | [
22885
] | Train |
18,528 | 15 | Title: Dynamic Ineffectuality-based Clustered Architectures
Abstract: The direction of conditional branches is predicted correctly in modern processors with great accuracy. We find several instructions in the dynamic instruction stream that contribute only towards computing the condition of these instructions. Hence, w... | [] | Train |
18,529 | 6 | Title: GPTutor: a ChatGPT-powered programming tool for code explanation
Abstract: Learning new programming skills requires tailored guidance. With the emergence of advanced Natural Language Generation models like the ChatGPT API, there is now a possibility of creating a convenient and personalized tutoring system with ... | [
43044
] | Validation |
18,530 | 36 | Title: A General Framework for Learning-Augmented Online Allocation
Abstract: Online allocation is a broad class of problems where items arriving online have to be allocated to agents who have a fixed utility/cost for each assigned item so to maximize/minimize some objective. This framework captures a broad range of fu... | [] | Test |
18,531 | 16 | Title: Best Practices in Active Learning for Semantic Segmentation
Abstract: Active learning is particularly of interest for semantic segmentation, where annotations are costly. Previous academic studies focused on datasets that are already very diverse and where the model is trained in a supervised manner with a large... | [] | Test |
18,532 | 8 | Title: MAGNNETO: A Graph Neural Network-Based Multi-Agent System for Traffic Engineering
Abstract: Current trends in networking propose the use of Machine Learning (ML) for a wide variety of network optimization tasks. As such, many efforts have been made to produce ML-based solutions for Traffic Engineering (TE), whic... | [] | Test |
18,533 | 27 | Title: BogieCopter: A Multi-Modal Aerial-Ground Vehicle for Long-Endurance Inspection Applications
Abstract: The use of Micro Aerial Vehicles (MAVs) for inspection and surveillance missions has proved to be extremely useful, however, their usability is negatively impacted by the large power requirements and the limited... | [] | Train |
18,534 | 3 | Title: Influential Factors of Users' Trust in the Range Estimation Systems of Battery Electric Vehicles - A Survey Study in China
Abstract: Although the rapid development of battery technology has greatly increased the range of battery electric vehicle (BEV), the range anxiety is still a major concern of BEV users or p... | [] | Validation |
18,535 | 30 | Title: Assessing the potential of AI-assisted pragmatic annotation: The case of apologies
Abstract: Certain forms of linguistic annotation, like part of speech and semantic tagging, can be automated with high accuracy. However, manual annotation is still necessary for complex pragmatic and discursive features that lack... | [
39392,
3280,
31189,
39642,
35388
] | Train |
18,536 | 4 | Title: Symphony: Expressive Secure Multiparty Computation with Coordination
Abstract: Context: Secure Multiparty Computation (MPC) refers to a family of cryptographic techniques where mutually untrusting parties may compute functions of their private inputs while revealing only the function output. Inquiry: It can be h... | [] | Validation |
18,537 | 30 | Title: Attack Named Entity Recognition by Entity Boundary Interference
Abstract: Named Entity Recognition (NER) is a cornerstone NLP task while its robustness has been given little attention. This paper rethinks the principles of NER attacks derived from sentence classification, as they can easily violate the label con... | [
17994
] | Validation |
18,538 | 16 | Title: Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Abstract: Event cameras are sensors inspired by biological systems that specialize in capturing changes in brightness. These emerging cameras offer many advantages over conventional frame-based cameras, including high dynamic range, high frame rates, a... | [] | Train |
18,539 | 30 | Title: The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints
Abstract: Medications often impose temporal constraints on everyday patient activity. Violations of such medical temporal constraints (MTCs) lead to a lack of treatment adherence, in addition to poor health outcomes and increased... | [
42908,
38454
] | Test |
18,540 | 37 | Title: Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference
Abstract: nan | [
1913
] | Train |
18,541 | 16 | Title: Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
Abstract: Hyperspectral image (HSI) classification is gaining a lot of momentum in present time because of high inherent spectral information within the images. However, these images suffer from the problem of curs... | [] | Train |
18,542 | 10 | Title: Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
Abstract: Effective human-human and human-autonomy teamwork is critical but often challenging to perfect. The challenge is particularly relevant in time-critical domains, such as healthcare and disaster response, where the time pressu... | [] | Train |
18,543 | 25 | Title: Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Abstract: nan | [
17312,
38684,
26357,
3614
] | Test |
18,544 | 27 | Title: Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Abstract: Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value. Despite predictions of commercial deployment by 2025, implementation rem... | [
25763,
7493,
37832,
28396,
14062,
5584,
43735,
43001,
39993
] | Train |
18,545 | 8 | Title: Quantum Game Theory meets Quantum Networks
Abstract: Classical game theory is a powerful tool focusing on optimized resource distribution, allocation and sharing in classical wired and wireless networks. As quantum networks are emerging as a means of providing true connectivity between quantum computers, it is i... | [] | Train |
18,546 | 26 | Title: How to Find Opinion Leader on the Online Social Network?
Abstract: Online social networks (OSNs) provide a platform for individuals to share information, exchange ideas and build social connections beyond in-person interactions. For a specific topic or community, opinion leaders are individuals who have a signif... | [] | Train |
18,547 | 10 | Title: Assessing Student Errors in Experimentation Using Artificial Intelligence and Large Language Models: A Comparative Study with Human Raters
Abstract: Identifying logical errors in complex, incomplete or even contradictory and overall heterogeneous data like students' experimentation protocols is challenging. Reco... | [
16826,
33220,
27205,
17606
] | Validation |
18,548 | 13 | Title: Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency
Abstract: Spiking neural networks have gained significant attention due to their brain-like information processing capabilities. The use of surrogate gradients has made it possible to train spiking neural networ... | [
39312
] | Train |
18,549 | 6 | Title: Exploring the Effects of VR Activities on Stress Relief: A Comparison of Sitting-in-Silence, VR Meditation, and VR Smash Room
Abstract: In our lives, we encounter various stressors that may cause negative mental and bodily reactions to make us feel frustrated, angry, or irritated. Effective methods to manage or ... | [] | Train |
18,550 | 23 | Title: Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models
Abstract: Previous research on code intelligence usually trains a deep learning model on a fixed dataset in an offline manner. However, in real-world scenarios, new code repositories emerge incessantly, and the carried... | [
34992,
12706,
41579,
36724
] | Train |
18,551 | 16 | Title: Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
Abstract: Synthesizing controllable motion for a character using deep learning has been a promising approach due to its potential to learn a compact model without laborious feature engineering. To produce dynamic motion from weak con... | [
34846
] | Validation |
18,552 | 20 | Title: Comparing Morse Complexes Using Optimal Transport: An Experimental Study
Abstract: Morse complexes and Morse-Smale complexes are topological descriptors popular in topology-based visualization. Comparing these complexes plays an important role in their applications in feature correspondences, feature tracking, s... | [
40130
] | Validation |
18,553 | 6 | Title: The Keyword Explorer Suite: A Toolkit for Understanding Online Populations
Abstract: We have developed a set of Python applications that use large language models to identify and analyze data from social media platforms relevant to a population of interest. Our pipeline begins with using OpenAI’s GPT-3 to genera... | [] | Test |
18,554 | 15 | Title: Optimized Implementation of Neuromorphic HATS Algorithm on FPGA
Abstract: In this paper, we present first-ever optimized hardware implementation of a state-of-the-art neuromorphic approach Histogram of Averaged Time Surfaces (HATS) algorithm to event-based object classification in FPGA for asynchronous time-base... | [] | Train |
18,555 | 16 | Title: OSIS: Efficient One-Stage Network for 3D Instance Segmentation
Abstract: Current 3D instance segmentation models generally use multi-stage methods to extract instance objects, including clustering, feature extraction, and post-processing processes. However, these multi-stage approaches rely on hyperparameter set... | [] | Train |
18,556 | 6 | Title: ShaRP: Shape-Regularized Multidimensional Projections
Abstract: Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data. Many such techniques exist, each one of them having a distinct visual signature - i.e., a recognizable way to arrange poi... | [] | Validation |
18,557 | 31 | Title: Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System
Abstract: Short-video recommendation is one of the most important recommendation applications in today's industrial information systems. Compared with other recommendation tasks, the enormous amount of feedback ... | [
13146
] | Train |
18,558 | 24 | Title: ActiveGLAE: A Benchmark for Deep Active Learning with Transformers
Abstract: Deep active learning (DAL) seeks to reduce annotation costs by enabling the model to actively query instance annotations from which it expects to learn the most. Despite extensive research, there is currently no standardized evaluation ... | [
14521,
22954,
12563
] | Validation |
18,559 | 16 | Title: The Making and Breaking of Camouflage
Abstract: Not all camouflages are equally effective, as even a partially visible contour or a slight color difference can make the animal stand out and break its camouflage. In this paper, we address the question of what makes a camouflage successful, by proposing three scor... | [] | Train |
18,560 | 5 | Title: Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform
Abstract: We present Rhino, a system for accelerating tensor programs with automatic parallelization on AI platform for real production environment. It transforms a tensor program written for a single device into an equiv... | [] | Validation |
18,561 | 2 | Title: Mathematical Foundations for Joining Only Knowing and Common Knowledge (Extended Version)
Abstract: Common knowledge and only knowing capture two intuitive and natural notions that have proven to be useful in a variety of settings, for example to reason about coordination or agreement between agents, or to analy... | [] | Validation |
18,562 | 16 | Title: Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Abstract: Clothes grasping and unfolding is a core step in robotic-assisted dressing. Most existing works leverage depth images of clothes to train a deep learning-based model to recognize suitable grasping points. These methods often utilize ph... | [] | Train |
18,563 | 16 | Title: CORSD: Class-Oriented Relational Self Distillation
Abstract: Knowledge distillation conducts an effective model compression method while holding some limitations:(1) the feature based distillation methods only focus on distilling the feature map but are lack of transferring the relation of data examples; (2) the... | [] | Train |
18,564 | 30 | Title: Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models
Abstract: Although Large Language Models (LLMs) have shown great potential in Natural Language Generation, it is still challenging to characterize the uncertainty of model generations, i.e., when users could trust model ... | [
35680,
28801,
43298,
13700,
8103,
44623,
37360,
26833,
40882,
7765,
42901,
41053
] | Train |
18,565 | 30 | Title: USNID: A Framework for Unsupervised and Semi-supervised New Intent Discovery
Abstract: New intent discovery is of great value to natural language processing, allowing for a better understanding of user needs and providing friendly services. However, most existing methods struggle to capture the complicated seman... | [] | Test |
18,566 | 29 | Title: Analyzing the Performance of the Inter-Blockchain Communication Protocol
Abstract: With the increasing demand for communication between blockchains, improving the performance of cross-chain communication protocols becomes an emerging challenge. We take a first step towards analyzing the limitations of cross-chai... | [] | Train |
18,567 | 16 | Title: Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia
Abstract: Video-based ambient monitoring of gait for older adults with dementia has the potential to detect negative changes in health and allow clinicians and caregivers to intervene early to prevent falls or hospitalizations.... | [] | Train |
18,568 | 27 | Title: Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation
Abstract: Mobile robots that navigate in unknown environments need to be constantly aware of the dynamic objects in their surroundings for mapping, localization, and planning. It is key to reason about moving obj... | [] | Validation |
18,569 | 16 | Title: Robust Meta Learning for Image based tasks
Abstract: A machine learning model that generalizes well should obtain low errors on unseen test examples. Thus, if we learn an optimal model in training data, it could have better generalization performance in testing tasks. However, learning such a model is not possib... | [] | Train |
18,570 | 16 | Title: MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Abstract: Few-shot instance segmentation extends the few-shot learning paradigm to the instance segmentation task, which tries to segment instance objects from a query image with a few annotated examples of... | [
7463
] | Train |
18,571 | 24 | Title: Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning
Abstract: In high-dimensional time-series analysis, it is essential to have a set of key factors (namely, the style factors) that explain the change of the observed variable. For example, volatilit... | [] | Validation |
18,572 | 30 | Title: Dr.ICL: Demonstration-Retrieved In-context Learning
Abstract: In-context learning (ICL), teaching a large language model (LLM) to perform a task with few-shot demonstrations rather than adjusting the model parameters, has emerged as a strong paradigm for using LLMs. While early studies primarily used a fixed or ... | [
14240,
34756,
26222,
35375,
12724,
32213,
38262,
25207
] | Train |
18,573 | 16 | Title: Bilateral-Fuser: A Novel Multi-cue Fusion Architecture with Anatomical-aware Tokens for Fovea Localization
Abstract: Accurate localization of the fovea is a crucial initial step in analyzing retinal diseases since it helps prevent irreversible vision loss. Although current deep learning-based methods achieve bet... | [] | Validation |
18,574 | 18 | Title: A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects
Abstract: We present an integrated circuit fabricated in a process co-integrating CMOS and hafnium-oxide memristor technology, which provides a prototyping platform for projects involving memristors. Our circuit include... | [] | Train |
18,575 | 23 | Title: A Review Of Progress for Component Based Software Cost Estimation From 1965 to 2023
Abstract: Component Based Software Engineering (CBSE) is used to develop software from Commercial Off the Shelf Components (COTs) with minimum cost and time. Component Based Software Cost Estimation (CBSCE) is an important pre-de... | [] | Train |
18,576 | 16 | Title: HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay
Abstract: Ultrasound (US) imaging provides a safe and accessible solution to procedural guidance and diagnostic imaging. The effective usage of conventional 2D US for interventional guidance requires extensive experience to proj... | [] | Train |
18,577 | 23 | Title: A Reference Architecture for Blockchain-based Traceability Systems Using Domain-Driven Design and Microservices
Abstract: Traceability systems are important for solving problems due to the increasing scale of the global supply chain, such as food safety crises and market disorder. Blockchain, as an immutable and... | [] | Train |
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