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sequence modeling

287 papers

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recurrent neural network (1790) transformer architecture (1555) attention mechanism (3975) state space model (387) neural network (6616) long short-term memory (748) representation learning (6174) language modeling (655) offline reinforcement learning (492) neural machine translation (2310)

Papers

Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning ACL 2023
PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones NIPS 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting NIPS 2023
Sequence Modeling with Multiresolution Convolutional Memory ICML 2023
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning AAAI 2023
Hierarchical Contrastive Learning for Temporal Point Processes AAAI 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning AAAI 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023
Recasting Continual Learning as Sequence Modeling NIPS 2023
Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023
Block-State Transformers NIPS 2023
KDEformer: Accelerating Transformers via Kernel Density Estimation ICML 2023
Structured State Space Models for In-Context Reinforcement Learning NIPS 2023
Event-Location Tracking in Narratives: A Case Study on Holocaust Testimonies EMNLP 2023
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers NIPS 2023
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure EMNLP 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NIPS 2023
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks EACL 2023
Large Language Models as General Pattern Machines CORL 2023
Pretraining Without Attention EMNLP 2023
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning NIPS 2023
State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory NIPS 2023
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding EMNLP 2023
Sparse Modular Activation for Efficient Sequence Modeling NIPS 2023