Model Optimization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 148 papers with code (380 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
  22 Sep 2020 6 repositories listed Syntology ran 7 of 16 samples · 9 unverified · 3 pointer-only (licence)
  Experiments across four datasets show that these model-dependent measures reveal three distinct regions in the data map, each with pronounced characteristics.
• Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
  21 Feb 2022 5 repositories listed
  By incorporating the proposed DB and ASF with the segmentation network, our proposed scene text detector consistently achieves state-of-the-art results, in terms of both detection accuracy and speed, on five standard…
• MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
  23 Jun 2023 4 repositories listed
  Multimodal Large Language Model (MLLM) relies on the powerful LLM to perform multimodal tasks, showing amazing emergent abilities in recent studies, such as writing poems based on an image.
• Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
  13 Aug 2020 4 repositories listed
  We present a novel active learning algorithm, termed as iterative surrogate model optimization (ISMO), for robust and efficient numerical approximation of PDE constrained optimization problems.
• Personalized Federated Learning with Moreau Envelopes
  16 Jun 2020 4 repositories listed
  Federated learning (FL) is a decentralized and privacy-preserving machine learning technique in which a group of clients collaborate with a server to learn a global model without sharing clients' data.
• Dynamic Scale Training for Object Detection
  26 Apr 2020 4 repositories listed
  We propose a Dynamic Scale Training paradigm (abbreviated as DST) to mitigate scale variation challenge in object detection.
• Personalized Federated Learning with First Order Model Optimization
  15 Dec 2020 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
  While federated learning traditionally aims to train a single global model across decentralized local datasets, one model may not always be ideal for all participating clients.
• R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
  21 May 2025 2 repositories listed Syntology ran 5 of 10 samples · 5 unverified
  Financial markets pose fundamental challenges for asset return prediction due to their high dimensionality, non-stationarity, and persistent volatility.
• DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
  16 Oct 2024 2 repositories listed
  Pre-training on the resulting DocSynth-300K dataset significantly improves fine-tuning performance across various document types.
• SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
  5 Dec 2023 2 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  Furthermore, the boundary loss capitalizes on the distinctive features of SGB by directing the model's attention to the boundary information of the object.
• VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
  25 Nov 2023 2 repositories listed
  Salient object detection (SOD) and camouflaged object detection (COD) are related yet distinct binary mapping tasks.
• Reward Model Ensembles Help Mitigate Overoptimization
  4 Oct 2023 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 3 pointer-only (licence)
  Gao et al.
• FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
  24 Aug 2023 2 repositories listed Syntology ran 10 of 11 samples · 1 unverified
  FedSOL is designed to identify gradients of local objectives that are inherently orthogonal to directions affecting the proximal objective.
• Improved Distribution Matching for Dataset Condensation
  19 Jul 2023 2 repositories listed Syntology ran 6 of 13 samples · 7 unverified · 13 pointer-only (licence)
  In this paper, we propose a novel dataset condensation method based on distribution matching, which is more efficient and promising.
• Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics
  30 Jun 2023 2 repositories listed
  We investigate time-optimal Multi-Robot Coverage Path Planning (MCPP) for both unweighted and weighted terrains, which aims to minimize the coverage time, defined as the maximum travel time of all robots.
• Multimodal Recommender Systems: A Survey
  8 Feb 2023 2 repositories listed
  In this paper, we will give a comprehensive survey of the MRS models, mainly from technical views.
• Multi-objective Asynchronous Successive Halving
  23 Jun 2021 2 repositories listed
  Hyperparameter optimization (HPO) is increasingly used to automatically tune the predictive performance (e.
• Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness
  21 May 2020 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified
  Then, we have applied 7 mitigation techniques on these models and analyzed the fairness, mitigation results, and impacts on performance.
• AutoScale: Learning to Scale for Crowd Counting and Localization
  20 Dec 2019 2 repositories listed
  A major issue is that the density map on dense regions usually accumulates density values from a number of nearby Gaussian blobs, yielding different large density values on a small set of pixels.
• PIXOR: Real-time 3D Object Detection from Point Clouds
  17 Feb 2019 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Existing approaches are, however, expensive in computation due to high dimensionality of point clouds.
• OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion
  9 Jul 2025 1 repository listed
  However, NN DPDs usually rely on a large number of parameters for effective linearization and can significantly contribute to the energy consumption of the digital back-end in RF systems.
• FedRef: Communication-Efficient Bayesian Fine Tuning with Reference Model
  29 Jun 2025 1 repository listed
  However, regarding model performance, federated AI models may not sufficiently satisfy AI users' expectations.
• G²D: Boosting Multimodal Learning with Gradient-Guided Distillation
  26 Jun 2025 1 repository listed
  Multimodal learning aims to leverage information from diverse data modalities to achieve more comprehensive performance.
• From Tiny Machine Learning to Tiny Deep Learning: A Survey
  21 Jun 2025 1 repository listed
  The rapid growth of edge devices has driven the demand for deploying artificial intelligence (AI) at the edge, giving rise to Tiny Machine Learning (TinyML) and its evolving counterpart, Tiny Deep Learning (TinyDL).
• BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection
  12 Jun 2025 1 repository listed
  Transferring extensive knowledge from relevant social networks has emerged as a promising solution to overcome label scarcity in detecting social bots and other anomalies with GNN-based models.
• GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO
  10 Jun 2025 1 repository listed
  The ability to train high-performing reward models with few-shot data is critical for enhancing the efficiency and scalability of Reinforcement Learning from Human Feedback (RLHF).
• RewardAnything: Generalizable Principle-Following Reward Models
  4 Jun 2025 1 repository listed
  To measure this capability, we develop RABench, a comprehensive benchmark for RMs focusing on generalization across diverse principles.
• BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
  23 May 2025 1 repository listed
  To address these challenges, we propose BEDI (Benchmark for Embodied Drone Intelligence), a systematic and standardized benchmark designed for evaluating UAV-EAs.
• SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis
  20 May 2025 1 repository listed
  To bridge this gap, in this work, we introduce SurvUnc, a novel meta-model based framework for post-hoc uncertainty quantification for survival models.
• SLOT: Sample-specific Language Model Optimization at Test-time
  18 May 2025 1 repository listed
  We propose SLOT (Sample-specific Language Model Optimization at Test-time), a novel and parameter-efficient test-time inference approach that enhances a language model's ability to more accurately respond to individual…

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.