transformer

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph ICML 2024 Towards Understanding Inductive Bias in Transformers: A View From Infinity ICML 2024 Trainable Transformer in Transformer ICML 2024 Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks CoRL 2024 Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality ICML 2024 Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models ICML 2024 Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context ICML 2024 Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape ICML 2024 Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot ICML 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries ICML 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings ICML 2024 Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation ICML 2024 Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach ICML 2024 V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation ECCV 2024 Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer ICML 2024 What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks ICML 2024 Why Larger Language Models Do In-context Learning Differently? ICML 2024 Blur Interpolation Transformer for Real-World Motion From Blur CVPR 2023