{"total":182,"rows":[{"id":"2104.13478","title":"Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges","created":"2021-04-27","cited_by_count":1167,"area":null},{"id":"2103.03097","title":"Generalizing to Unseen Domains: A Survey on Domain Generalization","created":"2021-03-02","cited_by_count":766,"area":null},{"id":"2106.04619","title":"Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style","created":"2021-06-08","cited_by_count":312,"area":null},{"id":"2304.12210","title":"A Cookbook of Self-Supervised Learning","created":"2023-04-24","cited_by_count":250,"area":null},{"id":"2301.05712","title":"A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends","created":"2023-01-13","cited_by_count":207,"area":null},{"id":"2202.01575","title":"CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting","created":"2022-02-03","cited_by_count":144,"area":null},{"id":"2310.13018","title":"Getting aligned on representational alignment","created":"2023-10-18","cited_by_count":143,"area":null},{"id":"2111.12525","title":"Causality-inspired Single-source Domain Generalization for Medical Image Segmentation","created":"2021-11-24","cited_by_count":119,"area":null},{"id":"2210.01571","title":"VICRegL: Self-Supervised Learning of Local Visual Features","created":"2022-10-04","cited_by_count":118,"area":null},{"id":"2104.07713","title":"Contrastive Learning with Stronger Augmentations","created":"2021-04-15","cited_by_count":100,"area":null},{"id":"2202.14037","title":"Understanding Contrastive Learning Requires Incorporating Inductive Biases","created":"2022-02-28","cited_by_count":96,"area":null},{"id":"2303.06873","title":"Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images","created":"2023-03-13","cited_by_count":91,"area":null},{"id":"2106.03721","title":"OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization","created":"2021-06-07","cited_by_count":86,"area":null},{"id":"2106.00545","title":"Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests","created":"2021-05-31","cited_by_count":77,"area":null},{"id":"2109.03795","title":"Desiderata for Representation Learning: A Causal Perspective","created":"2021-09-08","cited_by_count":76,"area":null},{"id":"2201.05119","title":"Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?","created":"2022-01-13","cited_by_count":67,"area":null},{"id":"2211.14343","title":"Less Data, More Knowledge: Building Next Generation Semantic Communication Networks","created":"2022-11-25","cited_by_count":62,"area":null},{"id":"2209.11883","title":"Hebbian Deep Learning Without Feedback","created":"2022-09-23","cited_by_count":61,"area":null},{"id":"2303.09166","title":"Identifiability Results for Multimodal Contrastive Learning","created":"2023-03-16","cited_by_count":61,"area":null},{"id":"2111.11821","title":"Learning Representation for Clustering via Prototype Scattering and Positive Sampling","created":"2021-11-23","cited_by_count":58,"area":null},{"id":"2210.07277","title":"The Hidden Uniform Cluster Prior in Self-Supervised Learning","created":"2022-10-13","cited_by_count":58,"area":null},{"id":"2307.12698","title":"MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features","created":"2023-07-24","cited_by_count":57,"area":null},{"id":"2106.10800","title":"Lossy Compression for Lossless Prediction","created":"2021-06-21","cited_by_count":52,"area":null},{"id":"2102.11203","title":"A Theory of Label Propagation for Subpopulation Shift","created":"2021-02-22","cited_by_count":48,"area":null},{"id":"2303.13662","title":"Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment","created":"2023-03-23","cited_by_count":48,"area":null},{"id":"2102.06866","title":"Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning","created":"2021-02-13","cited_by_count":47,"area":null},{"id":"2108.12043","title":"Learning Disentangled Representations in the Imaging Domain","created":"2021-08-26","cited_by_count":46,"area":null},{"id":"2203.11528","title":"Out-of-distribution Generalization with Causal Invariant Transformations","created":"2022-03-22","cited_by_count":45,"area":null},{"id":"2202.12387","title":"Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance","created":"2022-02-24","cited_by_count":43,"area":null},{"id":"2207.03162","title":"Harnessing Out-Of-Distribution Examples via Augmenting Content and Style","created":"2022-07-07","cited_by_count":43,"area":null},{"id":"2102.12353","title":"Nonlinear Invariant Risk Minimization: A Causal Approach","created":"2021-02-24","cited_by_count":42,"area":null},{"id":"2109.04173","title":"Relating Graph Neural Networks to Structural Causal Models","created":"2021-09-09","cited_by_count":41,"area":null},{"id":"2205.09723","title":"Robust and Efficient Medical Imaging with Self-Supervision","created":"2022-05-19","cited_by_count":40,"area":null},{"id":"2202.00155","title":"Fortuitous Forgetting in Connectionist Networks","created":"2022-02-01","cited_by_count":39,"area":null},{"id":"2207.07635","title":"Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning","created":"2022-07-15","cited_by_count":39,"area":null},{"id":"2305.13689","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","created":"2023-05-23","cited_by_count":39,"area":null},{"id":"2303.06818","title":"Backdoor Defense via Deconfounded Representation Learning","created":"2023-03-13","cited_by_count":38,"area":null},{"id":"2306.04507","title":"Improving neural network representations using human similarity judgments","created":"2023-06-07","cited_by_count":38,"area":null},{"id":"2106.06196","title":"CausalAdv: Adversarial Robustness through the Lens of Causality","created":"2021-06-11","cited_by_count":37,"area":null},{"id":"2207.01603","title":"Invariant and Transportable Representations for Anti-Causal Domain Shifts","created":"2022-07-04","cited_by_count":37,"area":null},{"id":"2212.14164","title":"On Transforming Reinforcement Learning by Transformer: The Development Trajectory","created":"2022-12-29","cited_by_count":36,"area":null},{"id":"2209.06235","title":"Improving Self-Supervised Learning by Characterizing Idealized Representations","created":"2022-09-13","cited_by_count":34,"area":null},{"id":"2112.07517","title":"A Style and Semantic Memory Mechanism for Domain Generalization","created":"2021-12-14","cited_by_count":32,"area":null},{"id":"2205.09797","title":"Improving Multi-Task Generalization via Regularizing Spurious Correlation","created":"2022-05-19","cited_by_count":28,"area":null},{"id":"2209.08890","title":"An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey","created":"2022-09-19","cited_by_count":28,"area":null},{"id":"2501.04376","title":"Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing","created":"2025-01-08","cited_by_count":27,"area":null},{"id":"2111.11294","title":"Scaling Law for Recommendation Models: Towards General-purpose User Representations","created":"2021-11-15","cited_by_count":26,"area":null},{"id":"2310.00927","title":"Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP","created":"2023-10-02","cited_by_count":26,"area":null},{"id":"2311.11114","title":"Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization","created":"2023-11-18","cited_by_count":26,"area":null},{"id":"2302.12383","title":"Generalization Analysis for Contrastive Representation Learning","created":"2023-02-24","cited_by_count":25,"area":null},{"id":"2106.09233","title":"De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention","created":"2021-06-17","cited_by_count":24,"area":null},{"id":"2205.12331","title":"Certified Robustness Against Natural Language Attacks by Causal Intervention","created":"2022-05-24","cited_by_count":24,"area":null},{"id":"2309.01156","title":"Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics","created":"2023-09-03","cited_by_count":23,"area":null},{"id":"2103.15890","title":"Learning Domain Invariant Representations for Generalizable Person Re-Identification","created":"2021-03-29","cited_by_count":22,"area":null},{"id":"2207.06167","title":"Unsupervised Visual Representation Learning by Synchronous Momentum Grouping","created":"2022-07-13","cited_by_count":22,"area":null},{"id":"2304.01391","title":"Counterfactual Learning on Graphs: A Survey","created":"2023-04-03","cited_by_count":22,"area":null},{"id":"2107.05431","title":"CoBERL: Contrastive BERT for Reinforcement Learning","created":"2021-07-12","cited_by_count":21,"area":null},{"id":"2206.09979","title":"Mitigating Data Heterogeneity in Federated Learning with Data Augmentation","created":"2022-06-20","cited_by_count":21,"area":null},{"id":"2202.05839","title":"Abstraction for Deep Reinforcement Learning","created":"2022-02-10","cited_by_count":19,"area":null},{"id":"2210.00638","title":"What shapes the loss landscape of self-supervised learning?","created":"2022-10-02","cited_by_count":19,"area":null},{"id":"2102.09850","title":"Model-Invariant State Abstractions for Model-Based Reinforcement Learning","created":"2021-02-19","cited_by_count":18,"area":null},{"id":"2106.03410","title":"Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders","created":"2021-06-07","cited_by_count":18,"area":null},{"id":"2105.13327","title":"Encoders and Ensembles for Task-Free Continual Learning","created":"2021-05-27","cited_by_count":17,"area":null},{"id":"2306.13411","title":"Neural Algorithmic Reasoning Without Intermediate Supervision","created":"2023-06-23","cited_by_count":17,"area":null},{"id":"2311.08815","title":"Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations","created":"2023-11-15","cited_by_count":17,"area":null},{"id":"2203.09475","title":"CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data","created":"2022-03-15","cited_by_count":16,"area":null},{"id":"2312.00379","title":"Optimal Sample Complexity of Contrastive Learning","created":"2023-12-01","cited_by_count":15,"area":null},{"id":"2203.09860","title":"Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification","created":"2022-03-18","cited_by_count":14,"area":null},{"id":"2209.15177","title":"Domain Generalization -- A Causal Perspective","created":"2022-09-30","cited_by_count":14,"area":null},{"id":"2301.01829","title":"t-SMILES: A Scalable Fragment-based Molecular Representation Framework for De Novo Molecule Generation","created":"2023-01-04","cited_by_count":14,"area":null},{"id":"2302.03857","title":"Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection","created":"2023-02-08","cited_by_count":14,"area":null},{"id":"2302.06975","title":"A Review of the Role of Causality in Developing Trustworthy AI Systems","created":"2023-02-14","cited_by_count":14,"area":null},{"id":"2112.00475","title":"Weakly-Supervised Video Object Grounding via Causal Intervention","created":"2021-12-01","cited_by_count":13,"area":null},{"id":"2203.08222","title":"Zipfian environments for Reinforcement Learning","created":"2022-03-15","cited_by_count":13,"area":null},{"id":"2204.09204","title":"Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction","created":"2022-04-20","cited_by_count":13,"area":null},{"id":"2303.08106","title":"Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues","created":"2023-03-13","cited_by_count":12,"area":null},{"id":"2310.16391","title":"Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization","created":"2023-10-25","cited_by_count":12,"area":null},{"id":"2406.13371","title":"Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment","created":"2024-06-19","cited_by_count":12,"area":null},{"id":"2106.10060","title":"Contrastive Learning of Generalized Game Representations","created":"2021-06-18","cited_by_count":11,"area":null},{"id":"2206.14702","title":"Interventional Contrastive Learning with Meta Semantic Regularizer","created":"2022-06-29","cited_by_count":11,"area":null},{"id":"2406.03345","title":"Feature contamination: Neural networks learn uncorrelated features and fail to generalize","created":"2024-06-05","cited_by_count":11,"area":null},{"id":"2305.00374","title":"Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization","created":"2023-04-30","cited_by_count":10,"area":null},{"id":"2107.09843","title":"TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation","created":"2021-07-21","cited_by_count":9,"area":null},{"id":"2203.03304","title":"Regularising for invariance to data augmentation improves supervised learning","created":"2022-03-07","cited_by_count":9,"area":null},{"id":"2206.13973","title":"Towards a Grounded Theory of Causation for Embodied AI","created":"2022-06-28","cited_by_count":9,"area":null},{"id":"2210.09224","title":"Self-Supervised Learning Through Efference Copies","created":"2022-10-17","cited_by_count":9,"area":null},{"id":"2502.10706","title":"Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling","created":"2025-02-15","cited_by_count":9,"area":null},{"id":"2209.15589","title":"Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods","created":"2022-09-30","cited_by_count":8,"area":null},{"id":"2212.03063","title":"Causal Inference via Style Transfer for Out-of-distribution Generalisation","created":"2022-12-06","cited_by_count":8,"area":null},{"id":"2304.13976","title":"Moderately Distributional Exploration for Domain Generalization","created":"2023-04-27","cited_by_count":8,"area":null},{"id":"2305.17139","title":"A Measure-Theoretic Axiomatisation of Causality","created":"2023-05-19","cited_by_count":8,"area":null},{"id":"2312.14329","title":"Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective","created":"2023-12-21","cited_by_count":8,"area":null},{"id":"2108.02696","title":"A Low Rank Promoting Prior for Unsupervised Contrastive Learning","created":"2021-08-05","cited_by_count":7,"area":null},{"id":"2402.14430","title":"Robust Training of Federated Models with Extremely Label Deficiency","created":"2024-02-22","cited_by_count":7,"area":null},{"id":"2502.07620","title":"Resilient Contrastive Pre-training under Non-Stationary Drift","created":"2025-02-11","cited_by_count":7,"area":null},{"id":"2212.13425","title":"GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning","created":"2022-12-27","cited_by_count":6,"area":null},{"id":"2301.05158","title":"SemPPL: Predicting pseudo-labels for better contrastive representations","created":"2023-01-12","cited_by_count":6,"area":null},{"id":"2302.03068","title":"Evaluating Self-Supervised Learning via Risk Decomposition","created":"2023-02-06","cited_by_count":6,"area":null},{"id":"2308.00508","title":"Relational Contrastive Learning for Scene Text Recognition","created":"2023-08-01","cited_by_count":6,"area":null},{"id":"2309.13682","title":"Causal-DFQ: Causality Guided Data-free Network Quantization","created":"2023-09-24","cited_by_count":6,"area":null}],"next_cursor":"100"}