Optimization

Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024 PTQ4DiT: Post-training Quantization for Diffusion Transformers NeurIPS 2024 QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024 QTIP: Quantization with Trellises and Incoherence Processing NeurIPS 2024 QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NeurIPS 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NeurIPS 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024 Regression Aware Inference with LLMs EMNLP 2024 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NeurIPS 2024 Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024 Residual Learning in Diffusion Models CVPR 2024 Resonance RoPE: Improving Context Length Generalization of Large Language Models ACL 2024 Rethinking 3D Convolution in ℓ_p-norm Space NeurIPS 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NeurIPS 2024 Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role AAAI 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024