Saved in:
| Main Authors: | Weng, Zhaotian, Hong, Jianbo, Wang, Lan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.02825 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)
by: Khorasani, Sadegh, et al.
Published: (2025)
A Survey of Reinforcement Learning from Human Feedback
by: Kaufmann, Timo, et al.
Published: (2023)
by: Kaufmann, Timo, et al.
Published: (2023)
Explainable Graph Representation Learning via Graph Pattern Analysis
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
Learning Transferable Predictability Representations
by: Goswami, Diyali, et al.
Published: (2026)
by: Goswami, Diyali, et al.
Published: (2026)
Intervening to Learn and Compose Causally Disentangled Representations
by: Markham, Alex, et al.
Published: (2025)
by: Markham, Alex, et al.
Published: (2025)
Sparse Concept Anchoring for Interpretable and Controllable Neural Representations
by: Fraser, Sandy, et al.
Published: (2025)
by: Fraser, Sandy, et al.
Published: (2025)
Learning Useful Representations of Recurrent Neural Network Weight Matrices
by: Herrmann, Vincent, et al.
Published: (2024)
by: Herrmann, Vincent, et al.
Published: (2024)
Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies
by: Li, Zhongnian, et al.
Published: (2025)
by: Li, Zhongnian, et al.
Published: (2025)
Towards geological inference with process-based and deep generative modeling, part 1: training on fluvial deposits
by: Rongier, Guillaume, et al.
Published: (2025)
by: Rongier, Guillaume, et al.
Published: (2025)
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
by: Hedar, Abdel-Rahman, et al.
Published: (2024)
Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
by: Rozonoyer, Benjamin, et al.
Published: (2026)
by: Rozonoyer, Benjamin, et al.
Published: (2026)
Latent Instruction Representation Alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
by: Easley, Eric, et al.
Published: (2026)
by: Easley, Eric, et al.
Published: (2026)
Towards geological inference with process-based and deep generative modeling, part 2: inversion of fluvial deposits and latent-space disentanglement
by: Rongier, Guillaume, et al.
Published: (2025)
by: Rongier, Guillaume, et al.
Published: (2025)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Contrastive Representation Modeling for Anomaly Detection
by: Lunardi, Willian T., et al.
Published: (2025)
by: Lunardi, Willian T., et al.
Published: (2025)
Structured Contrastive Learning for Interpretable Latent Representations
by: Shen, Zhengyang, et al.
Published: (2025)
by: Shen, Zhengyang, et al.
Published: (2025)
Generative and Contrastive Graph Representation Learning
by: Chen, Jiali, et al.
Published: (2025)
by: Chen, Jiali, et al.
Published: (2025)
Data-Incremental Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2024)
by: Gai, Sibo, et al.
Published: (2024)
2Mamba2Furious: Linear in Complexity, Competitive in Accuracy
by: Mongaras, Gabriel, et al.
Published: (2026)
by: Mongaras, Gabriel, et al.
Published: (2026)
Rewarded Region Replay (R3) for Policy Learning with Discrete Action Space
by: Li, Bangzheng, et al.
Published: (2024)
by: Li, Bangzheng, et al.
Published: (2024)
OER: Offline Experience Replay for Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2023)
by: Gai, Sibo, et al.
Published: (2023)
HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data
by: Wang, Fang, et al.
Published: (2025)
by: Wang, Fang, et al.
Published: (2025)
FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
by: Polly, Fabien
Published: (2026)
by: Polly, Fabien
Published: (2026)
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
by: Thil, Lucas, et al.
Published: (2025)
by: Thil, Lucas, et al.
Published: (2025)
Improving the Expressiveness of $K$-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
by: Yao, Tianjun, et al.
Published: (2024)
by: Yao, Tianjun, et al.
Published: (2024)
rmlnomogram: An R package to construct an explainable nomogram for any machine learning algorithms
by: Sufriyana, Herdiantri, et al.
Published: (2025)
by: Sufriyana, Herdiantri, et al.
Published: (2025)
CGAN-ECT: Tomography Image Reconstruction from Electrical Capacitance Measurements Using CGANs
by: Deabes, Wael, et al.
Published: (2022)
by: Deabes, Wael, et al.
Published: (2022)
When Redundancy Matters: Machine Teaching of Representations
by: Ferri, Cèsar, et al.
Published: (2024)
by: Ferri, Cèsar, et al.
Published: (2024)
Evolving machine learning workflows through interactive AutoML
by: Barbudo, Rafael, et al.
Published: (2024)
by: Barbudo, Rafael, et al.
Published: (2024)
Potential-Based Intrinsic Motivation: Preserving Optimality With Complex, Non-Markovian Shaping Rewards
by: Forbes, Grant C., et al.
Published: (2024)
by: Forbes, Grant C., et al.
Published: (2024)
New Paradigm of Adversarial Training: Releasing Accuracy-Robustness Trade-Off via Dummy Class
by: Wang, Yanyun, et al.
Published: (2024)
by: Wang, Yanyun, et al.
Published: (2024)
Action-Dependent Optimality-Preserving Reward Shaping
by: Forbes, Grant C., et al.
Published: (2025)
by: Forbes, Grant C., et al.
Published: (2025)
Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting
by: Qin, Liyang, et al.
Published: (2025)
by: Qin, Liyang, et al.
Published: (2025)
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
by: Ding, Ruixin, et al.
Published: (2024)
by: Ding, Ruixin, et al.
Published: (2024)
Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure
by: Mahmood, Syed Naveed, et al.
Published: (2026)
by: Mahmood, Syed Naveed, et al.
Published: (2026)
Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
by: Shravan, Rohan
Published: (2026)
by: Shravan, Rohan
Published: (2026)
Deep learning four decades of human migration
by: Gaskin, Thomas, et al.
Published: (2025)
by: Gaskin, Thomas, et al.
Published: (2025)
What Do World Models Learn in RL? Probing Latent Representations in Learned Environment Simulators
by: Zhang, Xinyu
Published: (2026)
by: Zhang, Xinyu
Published: (2026)
Perfecting Aircraft Maneuvers with Reinforcement Learning
by: Cilan, Atahan, et al.
Published: (2026)
by: Cilan, Atahan, et al.
Published: (2026)
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space
by: Chen, Zitao, et al.
Published: (2025)
by: Chen, Zitao, et al.
Published: (2025)
Similar Items
-
Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025) -
A Survey of Reinforcement Learning from Human Feedback
by: Kaufmann, Timo, et al.
Published: (2023) -
Explainable Graph Representation Learning via Graph Pattern Analysis
by: Wang, Xudong, et al.
Published: (2025) -
Learning Transferable Predictability Representations
by: Goswami, Diyali, et al.
Published: (2026) -
Intervening to Learn and Compose Causally Disentangled Representations
by: Markham, Alex, et al.
Published: (2025)