The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023 & TPAMI 2025).

[ACL 2025] Exploring Compositional Generalization of Multimodal LLMs for Medical Imaging

Exploring how tokenization shapes the performance and generalization of single-cell foundation models.

Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

Source code and data for Counterfactual Recipe Generation: Exploring Models’ Compositional Generalization Ability in a Realistic Scenario (EMNLP2022 main conference paper)

An comparative study on the paper Exploring Generalization in Deep Learning https://papers.nips.cc/paper/7176-exploring-generalization-in-deep-learning.pdf

Implementation for the paper "Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language" (CVPR 2023)

Exploring the Generalization Performance of Quantum Metric Learning Classifiers

A collection of key papers exploring reasoning generalization and pushing the boundaries of reasoning capabilities.

Exploring Generalization in Deep Reinforcement Learning algorithms for different tasks using Gymnasium, Gymnasium-Robotics and MuJoCo

Code for exploring effects of weight decay on neural network generalization

Neural Cellular Automata research. Exploring algorithmic generalization, scalability, and the limits of local computation.

Exploring Generalization In Deep Learning for mmWave Beam Selection Using Sub-6 GHz Channels

[KDD 2023] Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

AugmentationLab explores the role of Data Augmentation in Robustness, Class Imbalance, Distribution Shift and Generalization.

Power consumption forecasting model utilizing ensemble learning of LSTM networks in the development of a meta-model which explores the similarity and causality of clients and aggretates the results through stacked generalization in an MLP network.

Step into the realm of Emotion Detection Generalization! Uncover the power of deep learning as we decode human emotions from facial images. Explore our arsenal of fine-tuned CNN models and curated datasets, shaping a future where technology empathizes and connects on a deeper level. Revolutionize human-computer interaction with us today!

Exploring Benchmark Gaps and Real-World Speech Generalization for Language in Low Resource

Exploring the performance of model-agnostic meta-learning (MAML) on reinforcement learning generalization benchmarks

Exploring length generalization in the context of indirect object identification (IOI) task for mechanistic interpretability.

This project explores the cross-lingual generalization capabilities of sentiment analysis.

In this assignment you'll explore the relationship between model complexity and generalization performance, by adjusting key parameters of various supervised learning models for both regression and classification.

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Dynamic Neural Architecture Exploring Generalization capabilities of

The data for NLPCC2021 paper <Exploring Generalization Ability of Pretrained Language Models onArithmetic and Logical Reasoning>

Code for Master's Project - Exploring Generalization in Text-Based Reinforcement Learning

optimization and generalization theory for neural networks and exploring methods for learning from limited amounts of labeled data

Interpretable Deep Learning with Kolmogorov-Arnold Networks (KANs) – Exploring their expressivity, generalization, and visualization compared to traditional neural networks.

Code for exploring the interplay between the nature of training exposures and LM generalization in the context of dative alternations

Research implementation exploring neural network grokking through Heavy-Tailed Self-Regularization (HTSR), with tools for visualizing the transition from memorization to generalization.