Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2
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87
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
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12,524
14,487
6,029
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Papers (including subtopics)
Base of RoPE Bounds Context Length
NeurIPS 2024
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation
COLING 2024
BASS: Batched Attention-optimized Speculative Sampling
ACL 2024
Batch and match: black-box variational inference with a score-based divergence
ICML 2024
Batched Low-Rank Adaptation of Foundation Models
ICLR 2024
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks
CVPR 2024
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
AAAI 2024
Batch normalization is sufficient for universal function approximation in CNNs
ICLR 2024
BATON: Aligning Text-to-Audio Model Using Human Preference Feedback
IJCAI 2024
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
ICLR 2024
Bayesian Adaptation of Network Depth and Width for Continual Learning
ICML 2024
Bayesian Diffusion Models for 3D Shape Reconstruction
CVPR 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
CVPR 2024
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
ICML 2024
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
NeurIPS 2024
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models
ACL 2024
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
NeurIPS 2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
NeurIPS 2024
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
ICLR 2024
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text
NeurIPS 2024
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
ICLR 2024
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
NeurIPS 2024
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
EMNLP 2024
Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy
AAAI 2024
Behavior Generation with Latent Actions
ICML 2024