Vocal Bursts Valence Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 265 papers with code (1,164 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.

• Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
  25 Jul 2018 25 repositories listed Syntology ran 4 of 16 samples · 12 unverified
  IBN-Net carefully integrates Instance Normalization (IN) and Batch Normalization (BN) as building blocks, and can be wrapped into many advanced deep networks to improve their performances.
• PacGAN: The power of two samples in generative adversarial networks
  12 Dec 2017 7 repositories listed
  Generative adversarial networks (GANs) are innovative techniques for learning generative models of complex data distributions from samples.
• Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
  5 Mar 2016 7 repositories listed
  Convolutional neural networks (CNNs) have proven highly effective at image synthesis and style transfer.
• Two-Stream Convolutional Networks for Action Recognition in Videos
  9 Jun 2014 7 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 2 pointer-only (licence)
  Our architecture is trained and evaluated on the standard video actions benchmarks of UCF-101 and HMDB-51, where it is competitive with the state of the art.
• Neur2SP: Neural Two-Stage Stochastic Programming
  20 May 2022 5 repositories listed Syntology ran 5 of 10 samples · 5 unverified · 10 pointer-only (licence)
  Stochastic Programming is a powerful modeling framework for decision-making under uncertainty.
• Light-Head R-CNN: In Defense of Two-Stage Object Detector
  20 Nov 2017 5 repositories listed
  More importantly, simply replacing the backbone with a tiny network (e.
• Towards Good Practices for Very Deep Two-Stream ConvNets
  8 Jul 2015 5 repositories listed
  However, for action recognition in videos, the improvement of deep convolutional networks is not so evident.
• FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
  3 Apr 2023 4 repositories listed Syntology ran 13 of 16 samples · 3 unverified
  As such, many two-stream interaction models (e.
• The Two-Pass Softmax Algorithm
  13 Jan 2020 4 repositories listed
  Performance evaluation demonstrates that on out-of-cache inputs on an Intel Skylake-X processor the new Two-Pass algorithm outperforms the traditional Three-Pass algorithm by up to 28% in AVX512 implementation, and by…
• Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
  20 May 2018 4 repositories listed
  In addition, the second-order information (the lengths and directions of bones) of the skeleton data, which is naturally more informative and discriminative for action recognition, is rarely investigated in existing…
• MagNet: a Two-Pronged Defense against Adversarial Examples
  25 May 2017 4 repositories listed
  Different from previous work, MagNet learns to differentiate between normal and adversarial examples by approximating the manifold of normal examples.
• Two-pass Discourse Segmentation with Pairing and Global Features
  30 Jul 2014 4 repositories listed
  Previous attempts at RST-style discourse segmentation typically adopt features centered on a single token to predict whether to insert a boundary before that token.
• AutoML Two-Sample Test
  17 Jun 2022 3 repositories listed Syntology ran 10 of 11 samples · 1 unverified · 2 pointer-only (licence)
  Two-sample tests are important in statistics and machine learning, both as tools for scientific discovery as well as to detect distribution shifts.
• TSAM: A Two-Stream Attention Model for Causal Emotion Entailment
  2 Mar 2022 3 repositories listed
  Causal Emotion Entailment (CEE) aims to discover the potential causes behind an emotion in a conversational utterance.
• MMD Aggregated Two-Sample Test
  28 Oct 2021 3 repositories listed Syntology ran 4 of 15 samples · 11 unverified
  In practice, this parameter is unknown and, hence, the optimal MMD test with this particular kernel cannot be used.
• Discretization Drift in Two-Player Games
  28 May 2021 3 repositories listed
  Gradient-based methods for two-player games produce rich dynamics that can solve challenging problems, yet can be difficult to stabilize and understand.
• Probabilistic two-stage detection
  12 Mar 2021 3 repositories listed
  We develop a probabilistic interpretation of two-stage object detection.
• Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
  12 Feb 2020 3 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  We prove that two-layer (Leaky)ReLU networks initialized by e.
• Hidden Two-Stream Convolutional Networks for Action Recognition
  2 Apr 2017 3 repositories listed
  State-of-the-art action recognition approaches rely on traditional optical flow estimation methods to pre-compute motion information for CNNs.
• Causal Strategic Classification: A Tale of Two Shifts
  13 Feb 2023 2 repositories listed
  When users can benefit from certain predictive outcomes, they may be prone to act to achieve those outcome, e.
• ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
  21 Nov 2022 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  Sampling-free approaches can be faster but suffer from other drawbacks, such as lower reliability of uncertainty estimates, difficulty of use, and limited applicability to different types of tasks and data.
• It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
  26 Sep 2022 2 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  Cooperative table-carrying is a complex task due to the continuous nature of the action and state-spaces, multimodality of strategies, and the need for instantaneous adaptation to other agents.
• StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
  27 May 2022 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Conventional representation learning algorithms for knowledge graphs (KG) map each entity to a unique embedding vector, ignoring the rich information contained in the neighborhood.
• Progressive Training of A Two-Stage Framework for Video Restoration
  21 Apr 2022 2 repositories listed
  As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts.
• Two Instances of Interpretable Neural Network for Universal Approximations
  30 Dec 2021 2 repositories listed
  This paper proposes two bottom-up interpretable neural network (NN) constructions for universal approximation, namely Triangularly-constructed NN (TNN) and Semi-Quantized Activation NN (SQANN).
• Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
  29 Jul 2021 2 repositories listed
  We propose a new estimator for average causal effects of a binary treatment with panel data in settings with general treatment patterns.
• Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
  10 May 2021 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  In particular, we provide a unifying view of two-stage and moment restriction approaches for solving this problem in a nonlinear setting.
• A Two-stage Deep Network for High Dynamic Range Image Reconstruction
  19 Apr 2021 2 repositories listed
  Notably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.
• Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation
  2 Mar 2021 2 repositories listed
  Also, we introduce a new four-quadrant statistical visualization tool, including minimum accuracy, maximum accuracy, mean accuracy, and coefficient of variation, for benchmarking robustness of DL classifiers.
• Label Leakage and Protection in Two-party Split Learning
  17 Feb 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Two-party split learning is a popular technique for learning a model across feature-partitioned data.

Syntology lines on 12 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.