Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Guanyu, Wang, Ruichen, Zhang, Tianren, Chen, Feng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
by: Zhang, Tianren, et al.
Published: (2024)
by: Zhang, Tianren, et al.
Published: (2024)
Quantifying and Optimizing Simplicity via Polynomial Representations
by: Zhang, Tianren, et al.
Published: (2026)
by: Zhang, Tianren, et al.
Published: (2026)
Weight Space Representation Learning via Neural Field Adaptation
by: Yang, Zhuoqian, et al.
Published: (2025)
by: Yang, Zhuoqian, et al.
Published: (2025)
When Do Neural Networks Learn World Models?
by: Zhang, Tianren, et al.
Published: (2025)
by: Zhang, Tianren, et al.
Published: (2025)
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
by: Yang, Xinyu, et al.
Published: (2025)
by: Yang, Xinyu, et al.
Published: (2025)
VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
by: Zhang, Xiao, et al.
Published: (2025)
by: Zhang, Xiao, et al.
Published: (2025)
ICL-Router: In-Context Learned Model Representations for LLM Routing
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
Reconciling Spatial and Temporal Abstractions for Goal Representation
by: Zadem, Mehdi, et al.
Published: (2024)
by: Zadem, Mehdi, et al.
Published: (2024)
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026)
by: Zhang, Qingyue, et al.
Published: (2026)
Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection
by: Ling, Zhiwei, et al.
Published: (2026)
by: Ling, Zhiwei, et al.
Published: (2026)
Improved Generalization of Weight Space Networks via Augmentations
by: Shamsian, Aviv, et al.
Published: (2024)
by: Shamsian, Aviv, et al.
Published: (2024)
Personalized Federated Learning via Learning Dynamic Graphs
by: Zhou, Ziran, et al.
Published: (2025)
by: Zhou, Ziran, et al.
Published: (2025)
Group Representational Position Encoding
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Reflective Context Learning: Studying the Optimization Primitives of Context Space
by: Vassilyev, Nikita, et al.
Published: (2026)
by: Vassilyev, Nikita, et al.
Published: (2026)
Encoding Temporal Statistical-space Priors via Augmented Representation
by: Choi, Insu, et al.
Published: (2024)
by: Choi, Insu, et al.
Published: (2024)
Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
by: Huang, KaiHui, et al.
Published: (2025)
by: Huang, KaiHui, et al.
Published: (2025)
Graffe: Graph Representation Learning via Diffusion Probabilistic Models
by: Chen, Dingshuo, et al.
Published: (2025)
by: Chen, Dingshuo, et al.
Published: (2025)
Rethinking Time Encoding via Learnable Transformation Functions
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
by: Zou, Xuecheng, et al.
Published: (2026)
by: Zou, Xuecheng, et al.
Published: (2026)
Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)
by: Bhaila, Karuna, et al.
Published: (2024)
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
by: Liu, Jinmei, et al.
Published: (2024)
by: Liu, Jinmei, et al.
Published: (2024)
SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
by: Jayakody, Dineth, et al.
Published: (2026)
by: Jayakody, Dineth, et al.
Published: (2026)
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks
by: Lyu, Xingyu, et al.
Published: (2025)
by: Lyu, Xingyu, et al.
Published: (2025)
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
by: Behmanesh, Maysam, et al.
Published: (2025)
by: Behmanesh, Maysam, et al.
Published: (2025)
SpanNorm: Reconciling Training Stability and Performance in Deep Transformers
by: Wang, Chao, et al.
Published: (2026)
by: Wang, Chao, et al.
Published: (2026)
Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
by: Zhang, Kehao, et al.
Published: (2026)
by: Zhang, Kehao, et al.
Published: (2026)
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
by: Qian, Tangwen, et al.
Published: (2024)
by: Qian, Tangwen, et al.
Published: (2024)
Identifying Sensitive Weights via Post-quantization Integral
by: Hu, Yuezhou, et al.
Published: (2025)
by: Hu, Yuezhou, et al.
Published: (2025)
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
by: Liu, Guangyi, et al.
Published: (2024)
by: Liu, Guangyi, et al.
Published: (2024)
In-Context Reinforcement Learning via Communicative World Models
by: Martinez-Lopez, Fernando, et al.
Published: (2025)
by: Martinez-Lopez, Fernando, et al.
Published: (2025)
In-Context Algorithm Emulation in Fixed-Weight Transformers
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2025)
Reconciling Model Multiplicity for Downstream Decision Making
by: Du, Ally Yalei, et al.
Published: (2024)
by: Du, Ally Yalei, et al.
Published: (2024)
Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
by: Feito-Casares, Enrique, et al.
Published: (2026)
by: Feito-Casares, Enrique, et al.
Published: (2026)
In-Context Learning for Pure Exploration in Continuous Spaces
by: Russo, Alessio, et al.
Published: (2026)
by: Russo, Alessio, et al.
Published: (2026)
In-Context Reinforcement Learning for Variable Action Spaces
by: Sinii, Viacheslav, et al.
Published: (2023)
by: Sinii, Viacheslav, et al.
Published: (2023)
Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration
by: Wen, Haonan, et al.
Published: (2026)
by: Wen, Haonan, et al.
Published: (2026)
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)
by: Jia, Chengxing, et al.
Published: (2024)
Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management
by: Cui, Guanyu, et al.
Published: (2026)
by: Cui, Guanyu, et al.
Published: (2026)
Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
by: Zhang, Xuelin, et al.
Published: (2026)
by: Zhang, Xuelin, et al.
Published: (2026)
Similar Items
-
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
by: Zhang, Tianren, et al.
Published: (2024) -
Quantifying and Optimizing Simplicity via Polynomial Representations
by: Zhang, Tianren, et al.
Published: (2026) -
Weight Space Representation Learning via Neural Field Adaptation
by: Yang, Zhuoqian, et al.
Published: (2025) -
When Do Neural Networks Learn World Models?
by: Zhang, Tianren, et al.
Published: (2025) -
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
by: Yang, Xinyu, et al.
Published: (2025)