Colin Wei

发表

Generic 3 D Representation via Pose Estimation and Matching supplementary material

S. Savarese, Jitendra Malik, Pulkit Agrawal, 2016 .

Generic 3D Representation via Pose Estimation and Matching

Jitendra Malik, Silvio Savarese, Colin Wei, 2016, ECCV.

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

Colin Wei, Tengyu Ma, Adrien Gaidon, 2019, NeurIPS.

Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning

Sang Michael Xie, Sang Michael Xie, Colin Wei, 2021, NeurIPS.

Indoor Scene Segmentation using Conditional Random Fields

Colin Wei, Helen Jiang, 2016 .

Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin

Tengyu Ma, Colin Wei, 2019, ArXiv.

Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations

Jeff Z. HaoChen, Ananya Kumar, Colin Wei, 2022, NeurIPS.

Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss

Jeff Z. HaoChen, Tengyu Ma, Colin Wei, 2021, NeurIPS.

C ERTIFIED R OBUSTNESS FOR D EEP E QUILIBRIUM M ODELS VIA I NTERVAL B OUND P ROPAGATION

J. Z. Kolter, Colin Wei, 2022 .

Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation

J. Z. Kolter, Colin Wei, 2022, ICLR.

Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence

Tengyu Ma, Colin Wei, Mary Wootters, 2022, ArXiv.

Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers pdf

Colin Wei, Tengyu Ma, Yining Chen, 2021, ArXiv.

Shape Matters: Understanding the Implicit Bias of the Noise Covariance pdf

Colin Wei, Tengyu Ma, Jason D. Lee, 2020, COLT.

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel

Colin Wei, Tengyu Ma, Qiang Liu, 2018, NeurIPS.

Self-training Avoids Using Spurious Features Under Domain Shift pdf

Colin Wei, Tengyu Ma, Ananya Kumar, 2020, NeurIPS.

Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation

Colin Wei, Tengyu Ma, Tengyu Ma, 2019, NeurIPS.

Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data pdf

Colin Wei, Tengyu Ma, Kendrick Shen, 2020, ICLR.

Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers

Colin Wei, Tengyu Ma, Yining Chen, 2021, NeurIPS.

The Implicit and Explicit Regularization Effects of Dropout

S. Kakade, Tengyu Ma, Colin Wei, 2020, ICML.

Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks

Colin Wei, Yuanzhi Li, Tengyu Ma, 2019, NeurIPS.

Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence

Tengyu Ma, Colin Wei, Mary Wootters, 2022, ICLR.

Markov Chain Truncation for Doubly-Intractable Inference

Colin Wei, Iain Murray, Iain Murray, 2016, AISTATS.

Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin

Colin Wei, Tengyu Ma, Tengyu Ma, 2020, ICLR.

Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective-Supplementary Materials-Outline

Jiashi Feng, Saining Xie, Priya Goyal, 2020 .

On the Margin Theory of Feedforward Neural Networks pdf

Qiang Liu, Colin Wei, Tengyu Ma, 2018, ArXiv.

General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis

Colin Wei, Stefano Ermon, Colin Wei, 2017, AAAI.

Meta-learning Transferable Representations with a Single Target Domain pdf

Colin Wei, Tengyu Ma, Hong Liu, 2020, ArXiv.

Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin pdf

Colin Wei, Tengyu Ma, Tengyu Ma, 2019, ICLR.

Generic 3D Representation via Pose Estimation and Matching

S. Savarese, Jitendra Malik, Pulkit Agrawal, 2016, ECCV.