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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|---|---|---|---|---|
26,578 | 30 | Title: Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning
Abstract: In recent years, pre-trained large language models have demonstrated remarkable efficiency in achieving an inference-time few-shot learning capability known as in-context learning. Howe... | [
6979,
45605,
26886,
1321,
29769,
45577,
21868,
29612,
29006,
9521,
37179,
22899,
28852,
45529,
5755,
26812,
43327
] | Validation |
26,579 | 24 | Title: GPU-Accelerated Verification of Machine Learning Models for Power Systems
Abstract: Computational tools for rigorously verifying the performance of large-scale machine learning (ML) models have progressed significantly in recent years. The most successful solvers employ highly specialized, GPU-accelerated branch... | [
15028
] | Train |
26,580 | 30 | Title: Exploiting Pseudo Image Captions for Multimodal Summarization
Abstract: Cross-modal contrastive learning in vision language pretraining (VLP) faces the challenge of (partial) false negatives. In this paper, we study this problem from the perspective of Mutual Information (MI) optimization. It is common sense tha... | [
35954
] | Train |
26,581 | 24 | Title: Agile Modeling: From Concept to Classifier in Minutes
Abstract: The application of computer vision to nuanced subjective use cases is growing. While crowdsourcing has served the vision community well for most objective tasks (such as labeling a"zebra"), it now falters on tasks where there is substantial subjecti... | [
38882,
2661
] | Validation |
26,582 | 9 | Title: Complexity of Solo Chess with Unlimited Moves
Abstract: We analyze Solo Chess puzzles, where the input is an $n \times n$ board containing some standard Chess pieces of the same color, and the goal is to make a sequence of capture moves to reduce down to a single piece. Prior work analyzes this puzzle for a sing... | [] | Validation |
26,583 | 24 | Title: Calibrating Transformers via Sparse Gaussian Processes
Abstract: Transformer models have achieved profound success in prediction tasks in a wide range of applications in natural language processing, speech recognition and computer vision. Extending Transformer's success to safety-critical domains requires calibr... | [
3740
] | Train |
26,584 | 8 | Title: Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
Abstract: In the context of sixth-generation (6G) networks, where diverse network slices coexist, the adoption of AI-driven zero-touch management and orchestration (MANO) becomes crucial. However, ensuring the tru... | [] | Train |
26,585 | 36 | Title: On the Existence of EFX (and Pareto-Optimal) Allocations for Binary Chores
Abstract: We study the problem of allocating a group of indivisible chores among agents while each chore has a binary marginal. We focus on the fairness criteria of envy-freeness up to any item (EFX) and investigate the existence of EFX a... | [
24632
] | Train |
26,586 | 30 | Title: Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding
Abstract: We present Clinical Camel, an open large language model (LLM) explicitly tailored for clinical research. Fine-tuned from LLaMA-2 using QLoRA, Clinical Camel achieves state-of-the-art performance across me... | [
15075,
15301,
13029,
5815,
43641
] | Train |
26,587 | 6 | Title: Know What Not To Know: Users’ Perception of Abstaining Classifiers
Abstract: Machine learning systems can help humans to make decisions by providing decision suggestions (i.e., a label for a datapoint). However, individual datapoints do not always provide enough clear evidence to make confident suggestions. Alth... | [
10197
] | Test |
26,588 | 30 | Title: Learn to Not Link: Exploring NIL Prediction in Entity Linking
Abstract: Entity linking models have achieved significant success via utilizing pretrained language models to capture semantic features. However, the NIL prediction problem, which aims to identify mentions without a corresponding entity in the knowled... | [] | Train |
26,589 | 5 | Title: Fog System Configuration Management with CRDTs
Abstract: Current fog systems rely on centralized and strongly consistent services for configuration management originally designed for cloud systems. In the geo-distributed fog, such systems can exhibit high communication latency or become unavailable in case of ne... | [
4638
] | Test |
26,590 | 6 | Title: The centaur programmer - How Kasparov's Advanced Chess spans over to the software development of the future
Abstract: We introduce the idea of Centaur Programmer, based on the premise that a collaborative approach between humans and AI will be more effective than AI alone, as demonstrated in centaur chess tourna... | [] | Train |
26,591 | 3 | Title: Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
Abstract: Speaker recognition is a widely used voice-based biometric technology with applications in various industries, including banking, education, recruitment, immigration, law enforcement, healthcare, and well-being. Howeve... | [
38710
] | Train |
26,592 | 16 | Title: Relational Contrastive Learning for Scene Text Recognition
Abstract: Context-aware methods achieved great success in supervised scene text recognition via incorporating semantic priors from words. We argue that such prior contextual information can be interpreted as the relations of textual primitives due to the... | [] | Validation |
26,593 | 24 | Title: Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption
Abstract: Anomaly detection is the task of recognising novel samples which deviate significantly from pre-establishednormality. Abnormal classes are not present during training meaning that models must learn effective ... | [
2106
] | Train |
26,594 | 26 | Title: Online to Offline Crossover of White Supremacist Propaganda
Abstract: White supremacist extremist groups are a significant domestic terror threat in many Western nations. These groups harness the Internet to spread their ideology via online platforms: blogs, chat rooms, forums, and social media, which can inspir... | [
11031
] | Validation |
26,595 | 4 | Title: Improving Confidentiality for NFT Referenced Data Stores
Abstract: A non-fungible token (NFT) references a data store location, typically, using a URL or another unique identifier. At the minimum, a NFT is expected to guarantee ownership and control over the tokenised asset. However, information stored on a thir... | [
30562
] | Train |
26,596 | 24 | Title: ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Abstract: Probabilistic forecasts are essential for various downstream applications such as business development, traffic planning, and electrical grid balancing. Many of these probabilistic forecasts are performed on time series data... | [] | Train |
26,597 | 16 | Title: That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Abstract: Recent studies on visual anomaly detection (AD) of industrial objects/textures have achieved quite good performance. They consider an unsupervised setting, specifically the one-class setting, in which we assume the availability of... | [] | Train |
26,598 | 27 | Title: Robust Activity Recognition for Adaptive Worker-Robot Interaction using Transfer Learning
Abstract: Human activity recognition (HAR) using machine learning has shown tremendous promise in detecting construction workers' activities. HAR has many applications in human-robot interaction research to enable robots' u... | [] | Test |
26,599 | 6 | Title: The efficacy potential of cyber security advice as presented in news articles
Abstract: Cyber security advice is a broad church: it is thematically expansive, comprising expert texts, user-generated data consumed by individual users via informal learning, and much in-between. While there is evidence that cyber s... | [] | Test |
26,600 | 16 | Title: A novel dataset and a two-stage mitosis nuclei detection method based on hybrid anchor branch
Abstract: Mitosis detection is one of the challenging problems in computational pathology, and mitotic count is an important index of cancer grading for pathologists. However, current counts of mitotic nuclei rely on pa... | [] | Test |
26,601 | 24 | Title: Hypergraph Structure Inference From Data Under Smoothness Prior
Abstract: Hypergraphs are important for processing data with higher-order relationships involving more than two entities. In scenarios where explicit hypergraphs are not readily available, it is desirable to infer a meaningful hypergraph structure f... | [] | Test |
26,602 | 9 | Title: Forced Capture Hnefatafl
Abstract: We define a new, partizan, loopy combinatorial game, Forced-Capture Hnefatafl, similar to Hnefatafl, except that players are forced to make capturing moves when available. We show that this game is PSPACE-hard using a reduction from Constraint Logic, making progress towards cla... | [] | Train |
26,603 | 16 | Title: IAdet: Simplest human-in-the-loop object detection
Abstract: This work proposes a strategy for training models while annotating data named Intelligent Annotation (IA). IA involves three modules: (1) assisted data annotation, (2) background model training, and (3) active selection of the next datapoints. Under th... | [] | Train |
26,604 | 7 | Title: Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models
Abstract: State-space models (SSMs) are a common tool for modeling multi-variate discrete-time signals. The linear-Gaussian (LG) SSM is widely applied as it allows for a closed-form solution at inference, if the model par... | [] | Test |
26,605 | 16 | Title: Feature Alignment and Uniformity for Test Time Adaptation
Abstract: Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples. In this setting, the model can only access online unlabeled test samples and pretrained models on the training domains. We firs... | [
28176,
43608
] | Train |
26,606 | 16 | Title: Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World
Abstract: Scene Graph Generation (SGG) aims to extractrelationships in images for vision understanding. Although recent works have made steady progress on SGG, they still suffer long-tail distribution issues that tail-predi... | [
10624,
5186,
5922,
20940,
6893,
19066
] | Train |
26,607 | 16 | Title: Head-Free Lightweight Semantic Segmentation with Linear Transformer
Abstract: Existing semantic segmentation works have been mainly focused on designing effective decoders; however, the computational load introduced by the overall structure has long been ignored, which hinders their applications on resource-cons... | [] | Validation |
26,608 | 16 | Title: Deep Learning-Enabled Sleep Staging From Vital Signs and Activity Measured Using a Near-Infrared Video Camera
Abstract: Conventional sleep monitoring is time-consuming, expensive and uncomfortable, requiring a large number of contact sensors to be attached to the patient. Video data is commonly recorded as part ... | [] | Validation |
26,609 | 24 | Title: PULSNAR - Positive unlabeled learning selected not at random: class proportion estimation when the SCAR assumption does not hold
Abstract: Positive and Unlabeled (PU) learning is a type of semi-supervised binary classification where the machine learning algorithm differentiates between a set of positive instance... | [] | Train |
26,610 | 27 | Title: Multi-UAV Deployment in Obstacle-Cluttered Environments with LOS Connectivity
Abstract: A reliable communication network is essential for multiple UAVs operating within obstacle-cluttered environments, where limited communication due to obstructions often occurs. A common solution is to deploy intermediate UAVs ... | [] | Validation |
26,611 | 5 | Title: Durable Algorithms for Writable LL/SC and CAS with Dynamic Joining
Abstract: We present durable implementations for two well known universal primitives -- CAS (compare-and-swap), and its ABA-free counter-part LLSC (load-linked, store-conditional). All our implementations are: writable, meaning they support a Wri... | [] | Train |
26,612 | 24 | Title: Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach
Abstract: As a promising paradigm federated Learning (FL) is widely used in privacy-preserving machine learning, which allows distributed devices to collaboratively train a model while avoiding data transmission among clien... | [] | Train |
26,613 | 24 | Title: The Applicability of Federated Learning to Official Statistics
Abstract: This work investigates the potential of Federated Learning (FL) for official statistics and shows how well the performance of FL models can keep up with centralized learning methods. At the same time, its utilization can safeguard the priva... | [] | Test |
26,614 | 16 | Title: Expanding Explainability Horizons: A Unified Concept-Based System for Local, Global, and Misclassification Explanations
Abstract: Explainability of intelligent models has been garnering increasing attention in recent years. Of the various explainability approaches, concept-based techniques are notable for utiliz... | [] | Train |
26,615 | 23 | Title: Toward a consistent performance evaluation for defect prediction models
Abstract: In defect prediction community, many defect prediction models have been proposed and indeed more new models are continuously being developed. However, there is no consensus on how to evaluate the performance of a newly proposed mod... | [] | Validation |
26,616 | 9 | Title: The Parallel Dynamic Complexity of the Abelian Cayley Group Membership Problem
Abstract: Let $G$ be a finite group given as input by its multiplication table. For a subset $S$ of $G$ and an element $g\in G$ the Cayley Group Membership Problem (denoted CGM) is to check if $g$ belongs to the subgroup generated by ... | [
28943
] | Train |
26,617 | 4 | Title: Linking Souls to Humans with ZKBID: Accountable Anonymous Blockchain Accounts for Web 3.0 Decentralized Identity
Abstract: A decentralized identity system that can provide users with self-sovereign digital identities to facilitate complete control over their own data is paramount to Web 3.0. The accounting syste... | [] | Train |
26,618 | 16 | Title: Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition
Abstract: The hindering problem in facial expression recognition (FER) is the presence of inaccurate annotations referred to as noisy annotations in the datasets. These noisy annotations are present in the da... | [] | Train |
26,619 | 16 | Title: VanillaNet: the Power of Minimalism in Deep Learning
Abstract: At the heart of foundation models is the philosophy of"more is different", exemplified by the astonishing success in computer vision and natural language processing. However, the challenges of optimization and inherent complexity of transformer model... | [
29873,
40164,
3565
] | Train |
26,620 | 16 | Title: Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Abstract: Learning about the three-dimensional world from two-dimensional images is a fundamental problem in computer vision. An ideal neural network architecture for such tasks would leverage the fact that objects can be rotated ... | [
41830,
32489,
1579,
25902,
27508
] | Validation |
26,621 | 8 | Title: Locality and Utilization in Placement Suboptimality
Abstract: nan | [] | Train |
26,622 | 16 | Title: DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
Abstract: Recent multi-camera 3D object detectors usually leverage temporal information to construct multi-view stereo that alleviates the ill-posed depth estimation. However, they typically assume all the objects are s... | [] | Train |
26,623 | 16 | Title: Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
Abstract: Deep neural networks (DNNs) have achieved tremendous success in many remote sensing (RS) applications, in which DNNs are vulnerable to adversarial perturbations. Unfortunately, current adversarial defense ap... | [
1905,
18347,
40861
] | Train |
26,624 | 23 | Title: Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis
Abstract: Jupyter notebooks enable developers to interleave code snippets with rich-text and in-line visualizations. Data scientists use Jupyter notebook as the de-facto standard for creating and sharing machine-learning based solut... | [
7919
] | Train |
26,625 | 16 | Title: Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Abstract: In this work, we investigate the problem of creating high-fidelity 3D content from only a single image. This is inherently challenging: it essentially involves estimating the underlying 3D geometry while simultaneously hallu... | [
10624,
32384,
21014,
3097,
15393,
32293,
15785,
2860,
44593,
40888,
32952,
9276,
40256,
3912,
26825,
2769,
11473,
11474,
3680,
17378,
25838,
14193,
38395
] | Train |
26,626 | 30 | Title: Modeling Complex Event Scenarios via Simple Entity-focused Questions
Abstract: Event scenarios are often complex and involve multiple event sequences connected through different entity participants. Exploring such complex scenarios requires an ability to branch through different sequences, something that is diff... | [] | Test |
26,627 | 24 | Title: BrainBERT: Self-supervised representation learning for intracranial recordings
Abstract: We create a reusable Transformer, BrainBERT, for intracranial recordings bringing modern representation learning approaches to neuroscience. Much like in NLP and speech recognition, this Transformer enables classifying compl... | [] | Train |
26,628 | 16 | Title: Risk-optimized Outlier Removal for Robust Point Cloud Classification
Abstract: With the growth of 3D sensing technology, deep learning system for 3D point clouds has become increasingly important, especially in applications like autonomous vehicles where safety is a primary concern. However, there are also growi... | [] | Train |
26,629 | 8 | Title: A Clustering Strategy for Enhanced FL-Based Intrusion Detection in IoT Networks
Abstract: The Internet of Things (IoT) is growing rapidly and so the need of ensuring protection against cybersecurity attacks to IoT devices. In this scenario, Intrusion Detection Systems (IDSs) play a crucial role and data-driven I... | [] | Train |
26,630 | 16 | Title: Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data
Abstract: In this work, the novel task of detecting and classifying table tennis strokes solely using the ball trajectory has been explored. A single camera setup positioned in the umpire's view has been employed to procure a dataset consis... | [] | Train |
26,631 | 16 | Title: Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling
Abstract: Objects interact with each other in various ways, including containment, contact, or maintaining fixed distances. Ensuring these topological interactions is crucial for accurate modeling in many scenarios. In this paper, w... | [] | Train |
26,632 | 30 | Title: Schema-Driven Actionable Insight Generation and Smart Recommendation
Abstract: In natural language generation (NLG), insight mining is seen as a data-to-text task, where data is mined for interesting patterns and verbalised into 'insight' statements. An 'over-generate and rank' paradigm is intuitively used to ge... | [] | Test |
26,633 | 24 | Title: Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry
Abstract: From the social sciences to machine learning, it has been well documented that metrics to be optimized are not always aligned with social welfare. In healthcare, Dranove et al. [12] showed that publishing surgery mo... | [] | Validation |
26,634 | 36 | Title: Improved Bounds for Single-Nomination Impartial Selection
Abstract: We give new bounds for the single-nomination model of impartial selection, a problem proposed by Holzman and Moulin (Econometrica, 2013). A selection mechanism, which may be randomized, selects one individual from a group of n based on nominatio... | [
9266
] | Train |
26,635 | 16 | Title: Paxion: Patching Action Knowledge in Video-Language Foundation Models
Abstract: Action knowledge involves the understanding of textual, visual, and temporal aspects of actions. We introduce the Action Dynamics Benchmark (ActionBench) containing two carefully designed probing tasks: Action Antonym and Video Rever... | [
10624,
33220,
13700,
19404,
7157,
30965,
33853,
16382
] | Test |
26,636 | 30 | Title: Examining Bias in Opinion Summarisation through the Perspective of Opinion Diversity
Abstract: Opinion summarisation is a task that aims to condense the information presented in the source documents while retaining the core message and opinions. A summary that only represents the majority opinions will leave the... | [
12087
] | Validation |
26,637 | 30 | Title: Investigating Conversational Search Behavior For Domain Exploration
Abstract: Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search agents. This change especially affects exploratory informa... | [
27935
] | Test |
26,638 | 16 | Title: View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection
Abstract: For autonomous vehicles, driving safely is highly dependent on the capability to correctly perceive the environment in 3D space, hence the task of 3D object detection represents a fundamental aspect of perception. While 3D se... | [] | Train |
26,639 | 16 | Title: Controllable Visual-Tactile Synthesis
Abstract: Deep generative models have various content creation applications such as graphic design, e-commerce, and virtual Try-on. However, current works mainly focus on synthesizing realistic visual outputs, often ignoring other sensory modalities, such as touch, which lim... | [
35897
] | Train |
26,640 | 30 | Title: Don't Lose the Message While Paraphrasing: A Study on Content Preserving Style Transfer
Abstract: nan | [] | Train |
26,641 | 34 | Title: An Improved Greedy Curvature Bound in Finite-Horizon String Optimization with Application to a Sensor Coverage Problem
Abstract: We study the optimization problem of choosing strings of finite length to maximize string submodular functions on string matroids, which is a broader class of problems than maximizing ... | [] | Validation |
26,642 | 27 | Title: The body images of social robots
Abstract: The rapid development of social robots has sparked a challenge for both robotics and cognitive sciences to comprehend how humans perceive the appearance of robots. This understanding is a crucial prerequisite for achieving successful human-robot symbiosis. To uncover pe... | [] | Train |
26,643 | 31 | Title: THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval
Abstract: Legal case retrieval techniques play an essential role in modern intelligent legal systems. As an annually well-known international competition, COLIEE is aiming to achieve the state-of-the-a... | [
45261,
37237
] | Validation |
26,644 | 24 | Title: CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis
Abstract: With growing attention to tabular data these days, the attempt to apply a synthetic table to various tasks has been expanded toward various scenarios. Owing to the recent advances in generative modeling, fake data generated... | [
1603,
17941
] | Train |
26,645 | 16 | Title: Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving
Abstract: The task of generating novel views of real scenes is increasingly important nowadays when AI models become able to create realistic new worlds. In many practical applications, it is important for nove... | [
1432,
3377,
9515,
4503
] | Train |
26,646 | 36 | Title: Transaction Fee Mechanism Design with Active Block Producers
Abstract: The incentive-compatibility properties of blockchain transaction fee mechanisms have been investigated with *passive* block producers that are motivated purely by the net rewards earned at the consensus layer. This paper introduces a model of... | [
9562,
45451,
38196,
9702
] | Train |
26,647 | 23 | Title: Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions
Abstract: Large language models (LLMs), such as OpenAI's Codex, have demonstrated their potential to generate code from natural language descriptions across a wide range of programming tasks. Several benchmarks have recen... | [
12128,
34208,
25227,
43471,
22097,
11476,
19614,
29215
] | Test |
26,648 | 27 | Title: Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning
Abstract: Motion planning is the soul of robot decision making. Classical planning algorithms like graph search and reaction-based algorithms face challenges in cases of dense and dynamic obstacles. Deep ... | [
8723
] | Train |
26,649 | 24 | Title: Spatial-SpinDrop: Spatial Dropout-based Binary Bayesian Neural Network with Spintronics Implementation
Abstract: Recently, machine learning systems have gained prominence in real-time, critical decision-making domains, such as autonomous driving and industrial automation. Their implementations should avoid overc... | [] | Train |
26,650 | 8 | Title: Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning
Abstract: This work proposes a novel framework to dynamically and effectively manage and allocate different types of resources for Metaverse applications, which are forecasted to demand massive resources of various types that... | [
15446
] | Validation |
26,651 | 27 | Title: DNFOMP: Dynamic Neural Field Optimal Motion Planner for Navigation of Autonomous Robots in Cluttered Environment
Abstract: Motion planning in dynamically changing environments is one of the most complex challenges in autonomous driving. Safety is a crucial requirement, along with driving comfort and speed limits... | [] | Validation |
26,652 | 15 | Title: Integrating Per-Stream Stat Tracking into Accel-Sim
Abstract: Accel-Sim is a widely used computer architecture simulator that models the behavior of modern NVIDIA GPUs in great detail. However, although Accel-Sim and the underlying GPGPU-Sim model many of the features of real GPUs, thus far it has not been able ... | [] | Train |
26,653 | 30 | Title: Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Abstract: Large pre-trained language models help to achieve state of the art on a variety of natural language processing (NLP) tasks, nevertheless, they still suffer from forgetting when incrementally learning a sequence of tasks. To alleviate... | [
8632
] | Validation |
26,654 | 13 | Title: Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model
Abstract: The goal of this paper is to report certain scientific discoveries about a Seq2Seq model. It is known that analyzing the behavior of RNN-based models at the neuron level is considered a more challenging ta... | [] | Train |
26,655 | 16 | Title: Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering
Abstract: Visual question answering (VQA) is a Multidisciplinary research problem that pursued through practices of natural language processing and computer vision. Visual question answering automatically answers natural l... | [] | Train |
26,656 | 16 | Title: Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Abstract: Knowledge Distillation (KD) is a powerful technique for transferring knowledge between neural network models, where a pre-trained teacher model is used to facilitate the training of the target student model. However, the avail... | [] | Train |
26,657 | 34 | Title: Solving Tensor Low Cycle Rank Approximation
Abstract: Large language models have become ubiquitous in modern life, finding applications in various domains such as natural language processing, language translation, and speech recognition. Recently, a breakthrough work [Zhao, Panigrahi, Ge, and Arora Arxiv 2023] e... | [
32416,
12898,
34404,
29867,
22476,
2668,
13100,
40301,
34221,
22103,
24635
] | Validation |
26,658 | 23 | Title: Towards a Dataset of Programming Contest Plagiarism in Java
Abstract: In this paper, we describe and present the first dataset of source code plagiarism specifically aimed at contest plagiarism. The dataset contains 251 pairs of plagiarized solutions of competitive programming tasks in Java, as well as 660 non-p... | [] | Train |
26,659 | 6 | Title: CORAE: A Tool for Intuitive and Continuous Retrospective Evaluation of Interactions
Abstract: This paper introduces CORAE, a novel web-based open-source tool for COntinuous Retrospective Affect Evaluation, designed to capture continuous affect data about interpersonal perceptions in dyadic interactions. Grounded... | [
37351
] | Train |
26,660 | 16 | Title: Leveraging Knowledge Graphs for Zero-Shot Object-agnostic State Classification
Abstract: We investigate the problem of Object State Classification (OSC) as a zero-shot learning problem. Specifically, we propose the first Object-agnostic State Classification (OaSC) method that infers the state of a certain object... | [] | Train |
26,661 | 2 | Title: Affine Disjunctive Invariant Generation with Farkas' Lemma
Abstract: Invariant generation is the classical problem that aims at automated generation of assertions that over-approximates the set of reachable program states in a program. We consider the problem of generating affine invariants over affine while loo... | [] | Train |
26,662 | 16 | Title: Computer Vision for Construction Progress Monitoring: A Real-Time Object Detection Approach
Abstract: Construction progress monitoring (CPM) is essential for effective project management, ensuring on-time and on-budget delivery. Traditional CPM methods often rely on manual inspection and reporting, which are tim... | [] | Test |
26,663 | 28 | Title: A Gröbner Approach to Dual-Containing Cyclic Left Module (θ, δ)-Codes Rg/Rf ⊂ R/Rf over Finite Commutative Frobenius Rings
Abstract: For a skew polynomial ring $R=A[X;\theta,\delta]$ where $A$ is a commutative frobenius ring, $\theta$ an endomorphism of $A$ and $\delta$ a $\theta$-derivation of $A$, we consider ... | [] | Validation |
26,664 | 30 | Title: Fine-tuning Language Models with Generative Adversarial Feedback
Abstract: Reinforcement Learning with Human Feedback (RLHF) has been demonstrated to significantly enhance the performance of large language models (LLMs) by aligning their outputs with desired human values. However, RLHF is constrained by the expe... | [] | Validation |
26,665 | 16 | Title: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Abstract: Weakly supervised whole slide image classification is usually formulated as a multiple instance learning (MIL) problem, where each slide is treated as a bag, and the patches cut out of... | [] | Test |
26,666 | 30 | Title: Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study
Abstract: Background: Social media platforms have become a viable source of medical information, with patients and healthcare professionals using them to share health-related information and track diseases. Simil... | [] | Train |
26,667 | 5 | Title: On the Promise and Pitfalls of Optimizing Embodied Carbon
Abstract: To halt further climate change, computing, along with the rest of society, must reduce, and eventually eliminate, its carbon emissions. Recently, many researchers have focused on estimating and optimizing computing's embodied carbon, i.e., from ... | [
39698
] | Train |
26,668 | 16 | Title: D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion
Abstract: nan | [] | Train |
26,669 | 23 | Title: Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models
Abstract: Commit message generation (CMG) is a challenging task in automated software engineering that aims to generate natural language descriptions of code changes for commits. Previous methods all start from the modified code sn... | [] | Train |
26,670 | 30 | Title: Revisiting Non-Autoregressive Translation at Scale
Abstract: In real-world systems, scaling has been critical for improving the translation quality in autoregressive translation (AT), which however has not been well studied for non-autoregressive translation (NAT). In this work, we bridge the gap by systematical... | [
38780,
45582
] | Train |
26,671 | 4 | Title: CERTainty: Detecting DNS Manipulation at Scale using TLS Certificates
Abstract: DNS manipulation is an increasingly common technique used by censors and other network adversaries to prevent users from accessing restricted Internet resources and hijack their connections. Prior work in detecting DNS manipulation r... | [] | Train |
26,672 | 24 | Title: Loss Functions and Metrics in Deep Learning
Abstract: One of the essential components of deep learning is the choice of the loss function and performance metrics used to train and evaluate models. This paper reviews the most prevalent loss functions and performance measurements in deep learning. We examine the b... | [] | Test |
26,673 | 24 | Title: Chain of Hindsight Aligns Language Models with Feedback
Abstract: Learning from human preferences is important for language models to be helpful and useful for humans, and to align with human and social values. Prior work have achieved remarkable successes by learning from human feedback to understand and follow... | [
35091,
40725,
30366,
37152,
37411,
4658,
22578,
42165,
5700,
33477,
21190,
31817,
7125,
38102,
1369,
23905,
32108,
27248,
36084,
35445
] | Test |
26,674 | 16 | Title: Squeeze aggregated excitation network
Abstract: Convolutional neural networks have spatial representations which read patterns in the vision tasks. Squeeze and excitation links the channel wise representations by explicitly modeling on channel level. Multi layer perceptrons learn global representations and in mo... | [] | Train |
26,675 | 24 | Title: Reinforcement Learning with Exogenous States and Rewards
Abstract: Exogenous state variables and rewards can slow reinforcement learning by injecting uncontrolled variation into the reward signal. This paper formalizes exogenous state variables and rewards and shows that if the reward function decomposes additiv... | [] | Test |
26,676 | 16 | Title: Robustness Evaluation in Hand Pose Estimation Models using Metamorphic Testing
Abstract: Hand pose estimation (HPE) is a task that predicts and describes the hand poses from images or video frames. When HPE models estimate hand poses captured in a laboratory or under controlled environments, they normally delive... | [] | Validation |
26,677 | 34 | Title: Pseudorandom Hashing for Space-bounded Computation with Applications in Streaming
Abstract: We revisit Nisan's classical pseudorandom generator (PRG) for space-bounded computation (STOC 1990) and its applications in streaming algorithms. We describe a new generator, HashPRG, that can be thought of as a symmetric... | [
44186
] | Train |
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