Cover Image

Learning Using a Single Forward Pass

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Somasundaram, Aditya, Mishra, Pushkal, Borthakur, Ayon
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
by: Nagabhushana, Vaishnavi, et al.
Published: (2026)

Discriminative Flow Matching Via Local Generative Predictors
by: Jha, Om Govind, et al.
Published: (2026)

DCFold: Efficient Protein Structure Generation with Single Forward Pass
by: Zhang, Zhe, et al.
Published: (2026)

Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
by: Chen, Tong, et al.
Published: (2024)

You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass
by: Yang, Yinuo, et al.
Published: (2026)

Math Neurosurgery: Isolating Language Models' Math Reasoning Abilities Using Only Forward Passes
by: Christ, Bryan R., et al.
Published: (2024)

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
by: Fu, Tianhao, et al.
Published: (2026)

DePT3R: Joint Dense Point Tracking and 3D Reconstruction of Dynamic Scenes in a Single Forward Pass
by: Alumootil, Vivek, et al.
Published: (2025)

EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample
by: Chen, Guohao, et al.
Published: (2026)

DECODE: Data-driven Energy Consumption Prediction leveraging Historical Data and Environmental Factors in Buildings
by: Mishra, Aditya, et al.
Published: (2023)

P-Guide: Parameter-Efficient Prior Steering for Single-Pass CFG Inference
by: Peng, Xin, et al.
Published: (2026)

PLD+: Accelerating LLM inference by leveraging Language Model Artifacts
by: Somasundaram, Shwetha, et al.
Published: (2024)

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning
by: Wu, Yujie, et al.
Published: (2024)

Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
by: Beigzad, Salar, et al.
Published: (2026)

ODIN: A Single Model for 2D and 3D Segmentation
by: Jain, Ayush, et al.
Published: (2024)

PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization
by: Jaisankar, Vijay, et al.
Published: (2024)

Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis
by: Xia, Yan, et al.
Published: (2026)

On Using Admissible Bounds for Learning Forward Search Heuristics
by: Núñez-Molina, Carlos, et al.
Published: (2023)

Joint Data Inpainting and Graph Learning via Unrolled Neural Networks
by: Batreddy, Subbareddy, et al.
Published: (2024)

From Helpful to Trustworthy: LLM Agents for Pair Programming
by: Ayon, Ragib Shahariar
Published: (2026)

A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QA
by: Wan, Kaiyang, et al.
Published: (2025)

Enhancing the Detection of Coronary Artery Disease Using Machine Learning
by: Singh, Karan Kumar, et al.
Published: (2026)

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)

Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
by: Yang, Jianing, et al.
Published: (2025)

SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
by: Liu, Yewei, et al.
Published: (2026)

Multi-class Classifier based Failure Prediction with Artificial and Anonymous Training for Data Privacy
by: Das, Dibakar, et al.
Published: (2022)

Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms
by: Hwang, Taewook, et al.
Published: (2024)

FLOPS: Forward Learning with OPtimal Sampling
by: Ren, Tao, et al.
Published: (2024)

Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning
by: Cheng, Dawei, et al.
Published: (2025)

Using Forwards-Backwards Models to Approximate MDP Homomorphisms
by: Mavor-Parker, Augustine N., et al.
Published: (2022)

Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval
by: Yang, Ruiyi, et al.
Published: (2025)

Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
by: Terres-Escudero, Erik B., et al.
Published: (2024)

Hyperspherical Forward-Forward with Prototypical Representations
by: Sarode, Shalini, et al.
Published: (2026)

Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective
by: Gong, James, et al.
Published: (2025)

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)

Novel Saliency Analysis for the Forward Forward Algorithm
by: Bakhshi, Mitra
Published: (2024)

Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections
by: Kumar, Pankaj, et al.
Published: (2025)

Weakly Supervised Learning on Large Graphs
by: Prakash, Aditya
Published: (2025)

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
by: Zare, Nader, et al.
Published: (2024)

TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization
by: Liu, Lei, et al.
Published: (2026)