应用 · chemistry physics and earth sciences论文趋势 2023–2026
应用方向：chemistry_physics_and_earth_sciences
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,316 篇被归入该主题的论文。
主要结论
- 应用 · chemistry physics and earth sciences论文从 2023 年的 293 篇增长到 2026 年的 1,217 篇，三年间扩大到约 4.2 倍。
- NeurIPS 是发应用 · chemistry physics and earth sciences论文最多的会议，2023–2026 年共 1,107 篇，占四个会议总量的 33%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 95 篇。
- 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 2；同组增长最快的应用 · health medicine是 61 倍，应用 · chemistry physics and earth sciences是 4.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
- ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
- ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
- CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
- NeurIPS 2025A Partition Cover Approach to Tokenization
- ICML 2025A Machine Learning Approach to Duality in Statistical Physics
- ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- CVPR 2025Accurate Differential Operators for Hybrid Neural Fields
- NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
- ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
- ICLR 2024A Foundation Model for Error Correction Codes
- CVPR 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
- NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
- ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
- ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
- CVPR 20233D Human Pose Estimation via Intuitive Physics
- NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
- ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
- ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
- CVPR 2026Brewing Stronger Features Dual-Teacher Distillation for Multispectral Earth Observation
全部应用 · chemistry physics and earth sciences论文
共 3,316 篇，第 63 / 67 页
- ICLR 2023Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
- ICLR 2023Characteristic Neural Ordinary Differential Equation
- ICLR 2023Clifford Neural Layers for PDE Modeling
- ICLR 2023Competitive Physics Informed Networks
- ICLR 2023Confidence Estimation Using Unlabeled Data
- ICLR 2023Contextual bandits with concave rewards, and an application to fair ranking
- ICLR 2023Continuous PDE Dynamics Forecasting with Implicit Neural Representations
- ICLR 2023Coupled Multiwavelet Operator Learning for Coupled Differential Equations
- ICLR 2023CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
- ICLR 2023DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
- ICLR 2023DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
- ICLR 2023DiffMimic: Efficient Motion Mimicking with Differentiable Physics
- ICLR 2023Disentangling Learning Representations with Density Estimation
- ICLR 2023EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
- ICLR 2023Efficient Discrete Multi Marginal Optimal Transport Regularization
- ICLR 2023Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
- ICLR 2023Expressive Monotonic Neural Networks
- ICLR 2023Factorized Fourier Neural Operators
- ICLR 2023FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
- ICLR 2023FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
- ICLR 2023Generative Modelling with Inverse Heat Dissipation
- ICLR 2023Guiding continuous operator learning through Physics-based boundary constraints
- ICLR 2023Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
- ICLR 2023HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
- ICLR 2023Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
- ICLR 2023Learned Index with Dynamic $\epsilon$
- ICLR 2023Learning differentiable solvers for systems with hard constraints
- ICLR 2023Learning ReLU networks to high uniform accuracy is intractable
- ICLR 2023Learning Vortex Dynamics for Fluid Inference and Prediction
- ICLR 2023MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
- ICLR 2023ManyDG: Many-domain Generalization for Healthcare Applications
- ICLR 2023Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
- ICLR 2023Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
- ICLR 2023Noise-Robust De-Duplication at Scale
- ICLR 2023NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning
- ICLR 2023On the Importance and Applicability of Pre-Training for Federated Learning
- ICLR 2023On the Trade-Off between Actionable Explanations and the Right to be Forgotten
- ICLR 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
- ICLR 2023Phase2vec: dynamical systems embedding with a physics-informed convolutional network
- ICLR 2023Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
- ICLR 2023Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
- ICLR 2023Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
- ICLR 2023Pseudo-label Training and Model Inertia in Neural Machine Translation
- ICLR 2023Re-calibrating Feature Attributions for Model Interpretation
- ICLR 2023Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
- ICLR 2023Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
- ICLR 2023Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
- ICLR 2023SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing
- ICLR 2023SpeedyZero: Mastering Atari with Limited Data and Time
- ICLR 2023Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
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用 paperlist 查应用 · chemistry physics and earth sciences在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
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常见问题
- 2023–2026 年四大会议一共有多少篇应用 · chemistry physics and earth sciences论文？
- 共 3,316 篇，按年份分别是 2023 年 293 篇、2024 年 680 篇、2025 年 1,126 篇、2026 年 1,217 篇。
- NeurIPS 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- NeurIPS 2026 有 299 篇应用 · chemistry physics and earth sciences论文，上一届是 455 篇。
- ICLR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- ICLR 2026 有 373 篇应用 · chemistry physics and earth sciences论文，上一届是 297 篇。
- ICML 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- ICML 2026 有 441 篇应用 · chemistry physics and earth sciences论文，上一届是 287 篇。
- CVPR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- CVPR 2026 有 104 篇应用 · chemistry physics and earth sciences论文，上一届是 87 篇。
- 哪个会议的应用 · chemistry physics and earth sciences论文最多？
- NeurIPS，2023–2026 年共 1,107 篇。