ICLR Poster "sequence modeling" Papers
10 papers found
Competition Dynamics Shape Algorithmic Phases of In-Context Learning
Core Francisco Park, Ekdeep Singh Lubana, Hidenori Tanaka
ICLR 2025posterarXiv:2412.01003
34
citations
Controllable Generation via Locally Constrained Resampling
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
ICLR 2025posterarXiv:2410.13111
9
citations
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang, Ivana Dusparic, Yucheng Shi et al.
ICLR 2025posterarXiv:2410.08893
3
citations
Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer
Hao Luo, Zongqing Lu
ICLR 2025poster
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubic, Federico Soldà, Aurelio Sulser et al.
ICLR 2025posterarXiv:2405.16674
17
citations
Longhorn: State Space Models are Amortized Online Learners
Bo Liu, Rui Wang, Lemeng Wu et al.
ICLR 2025posterarXiv:2407.14207
29
citations
Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory
Svetha Venkatesh, Kien Do, Hung Le et al.
ICLR 2025poster
Selective induction Heads: How Transformers Select Causal Structures in Context
Francesco D'Angelo, francesco croce, Nicolas Flammarion
ICLR 2025posterarXiv:2509.08184
4
citations
State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
Naoki Nishikawa, Taiji Suzuki
ICLR 2025posterarXiv:2405.19036
6
citations
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren et al.
ICLR 2025posterarXiv:2405.16124
3
citations