DCCE / Supervision matrix

Supervision matrix

Preserved research report. Consult the final study for current claims.

Preserved revision-stage report. Some manuscript pointers and version labels reflect an earlier writing stage. Use the current study and research record for the final interpretation.

V3 supervision and implementation matrix

U/T/I refer to labels used during representation training. Every row later freezes the representation and trains a separate supervised linear probe. All V3 samplers are uniform; auxiliary class weights use training labels only.

Model U T I Input Pairing Representation Dimension
Dual_U0T0I0 0 0 0 dual, 8 kHz same-coda augmented views trained, 50 epochs 64
Dual_U0T0I1 0 0 1 dual, 8 kHz same-coda augmented views trained, 50 epochs 64
Dual_U0T1I0 0 1 0 dual, 8 kHz same-coda augmented views trained, 50 epochs 64
Dual_U0T1I1 0 1 1 dual, 8 kHz same-coda augmented views trained, 50 epochs 64
Dual_U1T0I0 1 0 0 dual, 8 kHz same-unit whole codas trained, 50 epochs 64
Dual_U1T0I1 1 0 1 dual, 8 kHz same-unit whole codas trained, 50 epochs 64
Dual_U1T1I0 1 1 0 dual, 8 kHz same-unit whole codas trained, 50 epochs 64
Dual_U1T1I1 1 1 1 dual, 8 kHz same-unit whole codas trained, 50 epochs 64
rhythm_UTI0 1 1 0 rhythm, 8 kHz same-unit whole codas trained, 50 epochs 64
rhythm_UTI1 1 1 1 rhythm, 8 kHz same-unit whole codas trained, 50 epochs 64
spectral_UTI0 1 1 0 spectral, 8 kHz same-unit whole codas trained, 50 epochs 64
spectral_UTI1 1 1 1 spectral, 8 kHz same-unit whole codas trained, 50 epochs 64
concat_UTI0 1 1 0 concat, 8 kHz same-unit whole codas trained, 50 epochs 128
concat_UTI1 1 1 1 concat, 8 kHz same-unit whole codas trained, 50 epochs 128
DualswapUTI 1 1 1 dual, 8 kHz same-unit swapped channels trained, 50 epochs 64
Dual16kUTI0 1 1 0 dual, 16 kHz same-unit whole codas trained, 50 epochs 64
Dual16kUTI1 1 1 1 dual, 16 kHz same-unit whole codas trained, 50 epochs 64
AVES_FT CE CE CE audio none transformer fine-tuned, 10 epochs; frontend frozen 64
AVESICIFT CE CE CE audio + ICI none transformer fine-tuned, 10 epochs; frontend frozen 64

Single-channel auxiliary heads both use the available channel. Dual/concatenation type heads use rhythm and ID heads use spectrum. U=0 removes unit labels from representation training but not from evaluation partitioning/probes. Label-free objectives still use annotation-derived ICI inputs. AVES FT has a different pretraining history, parameter count and epoch budget from DCCE.

V2 benchmark: downstream whale-label access

These columns describe local downstream training, not all labels used in external pretraining. Every row uses a subsequently trained supervised probe.

Model Unit use Type loss ID loss Unit-balanced sampler Representation Input
Raw ICI none no no no fixed features annotated ICI
Temporal mel none no no no fixed features audio
ICI + temporal mel none no no no fixed features annotated ICI + audio
WhAM none no no no frozen pretrained; WhAM/AVES layer selected on validation audio
AVES none no no no frozen pretrained; WhAM/AVES layer selected on validation audio
BirdNET none no no no frozen pretrained; WhAM/AVES layer selected on validation audio
DCCE no ID whole-coda unit pairing yes no yes trained, 50 epochs annotated ICI + audio
DCCE ID whole-coda unit pairing yes yes yes trained, 50 epochs annotated ICI + audio
DCCE swap ID same-unit swapped channels yes yes yes trained, 50 epochs annotated ICI + audio
Supervised dual unit CE yes yes yes trained head/fusion; AVES backbone frozen in adapter rows annotated ICI + audio
AVES adapter unit CE yes yes yes trained head/fusion; AVES backbone frozen in adapter rows audio
AVES + ICI adapter unit CE yes yes yes trained head/fusion; AVES backbone frozen in adapter rows annotated ICI + audio

Additional frozen input-matched controls

WhAM + ICI, AVES + ICI, and BirdNET + ICI concatenate annotated timing with frozen audio embeddings. They use no local representation-training labels, losses, pairing, or sampler. Only the training-only scaler and supervised linear probe are fitted; WhAM/AVES layers are selected on validation data. External pretraining label/data access remains as described above. These controls are evaluated on all six random/date partitions and all four year holdouts.

The strict year diagnostic reuses the same definitions for Raw ICI, ICI + temporal mel, WhAM, AVES, DCCE 110 and DCCE 111. The latter two are trained afresh on each year partition with uniform sampling. Saved-branch probes are post-hoc diagnostics on fixed DCCE 110/111 checkpoints and do not replace the primary fused-representation results.