Improved Forward-Forward Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Author: | R, Gananath |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Forward-Forward Algorithm
by: Krutsylo, Andrii
Published: (2025)
by: Krutsylo, Andrii
Published: (2025)
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
by: Zhu, Zhichao, et al.
Published: (2025)
by: Zhu, Zhichao, et al.
Published: (2025)
Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
by: Jaiswal, Risi, et al.
Published: (2025)
by: Jaiswal, Risi, et al.
Published: (2025)
Emergent representations in networks trained with the Forward-Forward algorithm
by: Tosato, Niccolò, et al.
Published: (2023)
by: Tosato, Niccolò, et al.
Published: (2023)
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
by: Velarde, Osvaldo M, et al.
Published: (2024)
by: Velarde, Osvaldo M, et al.
Published: (2024)
Selectivity and Shape in the Design of Forward-Forward Goodness Functions
by: Akkus, Talha Ruzgar, et al.
Published: (2026)
by: Akkus, Talha Ruzgar, et al.
Published: (2026)
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
by: Ghader, Mohammadnavid, et al.
Published: (2025)
by: Ghader, Mohammadnavid, et al.
Published: (2025)
Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks
by: Pes, Lorenzo, et al.
Published: (2025)
by: Pes, Lorenzo, et al.
Published: (2025)
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection
by: Otte, Sebastian
Published: (2024)
by: Otte, Sebastian
Published: (2024)
Self-Contrastive Forward-Forward Algorithm
by: Chen, Xing, et al.
Published: (2024)
by: Chen, Xing, et al.
Published: (2024)
Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler
by: Goemaere, Cédric, et al.
Published: (2023)
by: Goemaere, Cédric, et al.
Published: (2023)
KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forward
by: Basina, Divesh, et al.
Published: (2024)
by: Basina, Divesh, et al.
Published: (2024)
Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks
by: Bacho, Florian, et al.
Published: (2024)
by: Bacho, Florian, et al.
Published: (2024)
MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping
by: Lv, Jianming, et al.
Published: (2024)
by: Lv, Jianming, et al.
Published: (2024)
On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization
by: Terres-Escudero, Erik B., et al.
Published: (2024)
by: Terres-Escudero, Erik B., et al.
Published: (2024)
Breaking the Conventional Forward-Backward Tie in Neural Networks: Activation Functions
by: Troiano, Luigi, et al.
Published: (2025)
by: Troiano, Luigi, et al.
Published: (2025)
ForwardFlow: Simulation only statistical inference using deep learning
by: Böhringer, Stefan
Published: (2026)
by: Böhringer, Stefan
Published: (2026)
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning
by: Wu, Yujie, et al.
Published: (2024)
by: Wu, Yujie, et al.
Published: (2024)
Two Tales of Single-Phase Contrastive Hebbian Learning
by: Høier, Rasmus Kjær, et al.
Published: (2024)
by: Høier, Rasmus Kjær, et al.
Published: (2024)
Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in Spiking Neural Circuits
by: Ororbia, Alexander
Published: (2023)
by: Ororbia, Alexander
Published: (2023)
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)
by: Darban, Zahra Zamanzadeh, et al.
Published: (2023)
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
by: Terres-Escudero, Erik B., et al.
Published: (2024)
by: Terres-Escudero, Erik B., et al.
Published: (2024)
Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples
by: Renau, Quentin, et al.
Published: (2024)
by: Renau, Quentin, et al.
Published: (2024)
Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving
by: Ghoreishee, Aref, et al.
Published: (2026)
by: Ghoreishee, Aref, et al.
Published: (2026)
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2024)
by: Nguyen, Minh-Duc, et al.
Published: (2024)
Learning and Improving Backgammon Strategy
by: Galperin, Gregory R.
Published: (2025)
by: Galperin, Gregory R.
Published: (2025)
Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling
by: Dexheimer, Niklas, et al.
Published: (2024)
by: Dexheimer, Niklas, et al.
Published: (2024)
Expanded Gating Ranges Improve Activation Functions
by: Huang, Allen Hao
Published: (2024)
by: Huang, Allen Hao
Published: (2024)
Improved Robustness and Hyperparameter Selection in the Dense Associative Memory
by: McAlister, Hayden, et al.
Published: (2024)
by: McAlister, Hayden, et al.
Published: (2024)
Improved weight initialization for deep and narrow feedforward neural network
by: Lee, Hyunwoo, et al.
Published: (2023)
by: Lee, Hyunwoo, et al.
Published: (2023)
Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability
by: McAlister, Hayden, et al.
Published: (2025)
by: McAlister, Hayden, et al.
Published: (2025)
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection
by: Renau, Quentin, et al.
Published: (2024)
by: Renau, Quentin, et al.
Published: (2024)
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
by: Yao, Yunpeng, et al.
Published: (2024)
by: Yao, Yunpeng, et al.
Published: (2024)
Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced
by: Bazhenov, Anthony, et al.
Published: (2024)
by: Bazhenov, Anthony, et al.
Published: (2024)
Steering Large Language Models using Conceptors: Improving Addition-Based Activation Engineering
by: Postmus, Joris, et al.
Published: (2024)
by: Postmus, Joris, et al.
Published: (2024)
Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
by: Kronberger, Gabriel, et al.
Published: (2026)
by: Kronberger, Gabriel, et al.
Published: (2026)
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
by: Pei, Yunhua, et al.
Published: (2024)
by: Pei, Yunhua, et al.
Published: (2024)
State-Space Constraints Can Improve the Generalisation of the Differentiable Neural Computer to Input Sequences With Unseen Length
by: Ofner, Patrick, et al.
Published: (2021)
by: Ofner, Patrick, et al.
Published: (2021)
LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior
by: Koenig, Benjamin C., et al.
Published: (2025)
by: Koenig, Benjamin C., et al.
Published: (2025)
FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
by: Ma, Jingxiao, et al.
Published: (2025)
by: Ma, Jingxiao, et al.
Published: (2025)
Similar Items
-
Scalable Forward-Forward Algorithm
by: Krutsylo, Andrii
Published: (2025) -
Stochastic Forward-Forward Learning through Representational Dimensionality Compression
by: Zhu, Zhichao, et al.
Published: (2025) -
Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
by: Jaiswal, Risi, et al.
Published: (2025) -
Emergent representations in networks trained with the Forward-Forward algorithm
by: Tosato, Niccolò, et al.
Published: (2023) -
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
by: Velarde, Osvaldo M, et al.
Published: (2024)